{"about":{"non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","site":"https://codewithpapers.app","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page","syntology":{"site":"https://syntology.ai","developers":"https://syntology.ai/developers","mcp":{"server":"https://syntology.ai/mcp","transport":"streamable-http","server_card":"https://syntology.ai/.well-known/mcp/server-card.json","auth":{"type":"trial token, no account","trial_token":"https://syntology.ai/api/oauth/trial/token","method":"POST","docs":"https://syntology.ai/developers"}},"have":"https://syntology.ai/api/graph/have?x=<method, arXiv id or title> (free, answers coverage only)","paper_base":"https://syntology.ai/paper/","atlas_base":"https://app.syntology.ai/?focus="},"machine_readable":[{"url":"https://codewithpapers.app/llms.txt","what":"the machine catalog: every machine-readable file, counted"},{"url":"https://codewithpapers.app/index/manifest.json","what":"paper-to-code index by arXiv id, with Syntology's counts"},{"url":"https://codewithpapers.app/search/manifest.json","what":"site search index (titles, authors) and its files"},{"url":"https://codewithpapers.app/download","what":"bulk files: Syntology's layer, described there"},{"url":"https://codewithpapers.app/build_manifest.json","what":"the build record: inputs, counts, exclusions, probes"}]},"url":"/method/average-pooling/papers/22","list_of":"/method/average-pooling","method":"Average Pooling","archive":{"snapshot":"2025-07-28"},"syntology_read_at":"2026-09-28T10:30:06+00:00","order":"archive","order_definition":"date (newest first), then slug","page":22,"pages_in_order":52,"rows_per_page":100,"rows":[2101,2200],"of":5125,"counts":{"archive_papers_tagged":5125,"with_a_code_link":2243,"where_syntology_ran_a_sample":586,"not_listed_spam_title":0,"listed":5125,"listed_where_code_ran":586,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":489,"every_run_a_failure_of_syntologys_instrument":97,"listed_with_a_run_with_no_instrument_failure":489,"listed_every_run_a_failure_of_syntologys_instrument":97,"filter":{"states":["a run with no instrument failure","any run, instrument failures included"],"default":"a run with no instrument failure","note":"on the 'only where code ran' pages the default hides, in the browser, the rows where every run was a failure of Syntology's instrument; the second state shows them again. Rows are hidden, never re-ordered; these twins list every row"}},"definition":"distinct papers the archive tags; 'where Syntology ran a sample' counts papers with at least one harvested sample that ran, which is not a correctness claim"},"first_page":"/method/average-pooling","prev":"/method/average-pooling/papers/21","next":"/method/average-pooling/papers/23","papers":[{"paper":"/paper/a-nas-neural-architecture-search-using","slug":"a-nas-neural-architecture-search-using","title":"Neural Architecture Search using Property Guided Synthesis","date":"2022-05-08","arxiv_id":"2205.03960","n_code_links":1,"syntology":null},{"paper":null,"slug":"rcmnet-a-deep-learning-model-assists-car-t","title":"RCMNet: A deep learning model assists CAR-T therapy for leukemia","date":"2022-05-06","arxiv_id":"2205.04230","n_code_links":0,"syntology":null},{"paper":null,"slug":"the-nt-xent-loss-upper-bound","title":"The NT-Xent loss upper bound","date":"2022-05-06","arxiv_id":"2205.03169","n_code_links":0,"syntology":null},{"paper":null,"slug":"biologically-inspired-deep-residual-networks","title":"Biologically inspired deep residual networks for computer vision applications","date":"2022-05-05","arxiv_id":"2205.02551","n_code_links":0,"syntology":null},{"paper":"/paper/text-to-artistic-image-generation","slug":"text-to-artistic-image-generation","title":"Text to artistic image generation","date":"2022-05-05","arxiv_id":"2205.02439","n_code_links":1,"syntology":null},{"paper":"/paper/sequencer-deep-lstm-for-image-classification","slug":"sequencer-deep-lstm-for-image-classification","title":"Sequencer: Deep LSTM for Image Classification","date":"2022-05-04","arxiv_id":"2205.01972","n_code_links":5,"syntology":{"ran":4,"of":9,"n_ran_checked":4,"n_instrument":0,"unverified":5,"pointer_only":0,"phrase":"4 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 0 honoured, 0 violated, 4 with no contract checked; 0 where Syntology's instrument failed) · 5 unverified","official":{"repos":["okojoalg/sequencer","rwightman/pytorch-image-models"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":0,"n_ran_no_instrument_failure":4,"n_unverified":5,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"effect-of-random-histogram-equalization-on","title":"Effect of Random Histogram Equalization on Breast Calcification Analysis Using Deep Learning","date":"2022-05-03","arxiv_id":"2205.01684","n_code_links":0,"syntology":null},{"paper":"/paper/augmented-balanced-image-dataset-generator","slug":"augmented-balanced-image-dataset-generator","title":"Augmented Balanced Image Dataset Generator Using AugStatic Library","date":"2022-05-01","arxiv_id":null,"n_code_links":1,"syntology":null},{"paper":null,"slug":"engineering-deep-learning-methods-on","title":"Engineering deep learning methods on automatic detection of damage in infrastructure due to extreme events","date":"2022-05-01","arxiv_id":"2205.02125","n_code_links":0,"syntology":null},{"paper":"/paper/improving-model-performance-and-removing-the","slug":"improving-model-performance-and-removing-the","title":"Improving Model Performance and Removing the Class Imbalance Problem Using Augmentation","date":"2022-05-01","arxiv_id":null,"n_code_links":0,"syntology":null},{"paper":null,"slug":"resnet18-model-with-sequential-layer-for","title":"Resnet18 Model With Sequential Layer For Computing Accuracy On Image Classification Dataset","date":"2022-05-01","arxiv_id":null,"n_code_links":0,"syntology":null},{"paper":"/paper/a-deep-learning-based-no-reference-quality","slug":"a-deep-learning-based-no-reference-quality","title":"A Deep Learning based No-reference Quality Assessment Model for UGC Videos","date":"2022-04-29","arxiv_id":"2204.14047","n_code_links":1,"syntology":null},{"paper":null,"slug":"a-mixed-domain-self-attention-network-for","title":"A Mixed-Domain Self-Attention Network for Multilabel Cardiac Irregularity Classification Using Reduced-Lead Electrocardiogram","date":"2022-04-29","arxiv_id":"2204.13917","n_code_links":0,"syntology":null},{"paper":null,"slug":"birds-eye-view-measuring-behavior-and-posture","title":"Birds' Eye View: Measuring Behavior and Posture of Chickens as a Metric for Their Well-Being","date":"2022-04-29","arxiv_id":"2205.00069","n_code_links":0,"syntology":null},{"paper":null,"slug":"segmentation-of-kidney-stones-in-endoscopic","title":"Segmentation of kidney stones in endoscopic video feeds","date":"2022-04-29","arxiv_id":"2204.14175","n_code_links":0,"syntology":null},{"paper":"/paper/unlocking-high-accuracy-differentially","slug":"unlocking-high-accuracy-differentially","title":"Unlocking High-Accuracy Differentially Private Image Classification through Scale","date":"2022-04-28","arxiv_id":"2204.13650","n_code_links":3,"syntology":null},{"paper":"/paper/a-survey-on-attention-mechanisms-for-medical","slug":"a-survey-on-attention-mechanisms-for-medical","title":"A survey on attention mechanisms for medical applications: are we moving towards better algorithms?","date":"2022-04-26","arxiv_id":"2204.12406","n_code_links":1,"syntology":null},{"paper":null,"slug":"boosting-adversarial-transferability-of-mlp","title":"Boosting Adversarial Transferability of MLP-Mixer","date":"2022-04-26","arxiv_id":"2204.12204","n_code_links":0,"syntology":null},{"paper":"/paper/rapq-rescuing-accuracy-for-power-of-two-low","slug":"rapq-rescuing-accuracy-for-power-of-two-low","title":"RAPQ: Rescuing Accuracy for Power-of-Two Low-bit Post-training Quantization","date":"2022-04-26","arxiv_id":"2204.12322","n_code_links":1,"syntology":{"ran":1,"of":1,"n_ran_checked":1,"n_instrument":0,"unverified":0,"pointer_only":0,"phrase":"1 ran (of which 1 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified; the one sample that ran constructed an object rather than computing a result","official":{"repos":["billamihom/rapq"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":1,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"u-net-with-resnet-backbone-for-garment","title":"U-Net with ResNet Backbone for Garment Landmarking Purpose","date":"2022-04-26","arxiv_id":"2204.12084","n_code_links":0,"syntology":null},{"paper":null,"slug":"unified-gcns-towards-connecting-gcns-with","title":"Unified GCNs: Towards Connecting GCNs with CNNs","date":"2022-04-26","arxiv_id":"2204.12300","n_code_links":0,"syntology":null},{"paper":null,"slug":"a-hybrid-defense-method-against-adversarial","title":"A Hybrid Defense Method against Adversarial Attacks on Traffic Sign Classifiers in Autonomous Vehicles","date":"2022-04-25","arxiv_id":"2205.01225","n_code_links":0,"syntology":null},{"paper":"/paper/towards-evaluating-adaptivity-of-model-based","slug":"towards-evaluating-adaptivity-of-model-based","title":"Towards Evaluating Adaptivity of Model-Based Reinforcement Learning Methods","date":"2022-04-25","arxiv_id":"2204.11464","n_code_links":1,"syntology":null},{"paper":null,"slug":"discriminative-feature-learning-framework","title":"Discriminative Feature Learning Framework with Gradient Preference for Anomaly Detection","date":"2022-04-23","arxiv_id":"2204.11014","n_code_links":0,"syntology":null},{"paper":null,"slug":"transformation-invariant-cancerous-tissue","title":"Transformation Invariant Cancerous Tissue Classification Using Spatially Transformed DenseNet","date":"2022-04-23","arxiv_id":"2204.11066","n_code_links":0,"syntology":null},{"paper":"/paper/hrplanes-high-resolution-airplane-dataset-for","slug":"hrplanes-high-resolution-airplane-dataset-for","title":"A benchmark dataset for deep learning-based airplane detection: HRPlanes","date":"2022-04-22","arxiv_id":"2204.10959","n_code_links":1,"syntology":null},{"paper":"/paper/reward-reports-for-reinforcement-learning","slug":"reward-reports-for-reinforcement-learning","title":"Reward Reports for Reinforcement Learning","date":"2022-04-22","arxiv_id":"2204.10817","n_code_links":1,"syntology":null},{"paper":"/paper/beyond-the-prototype-divide-and-conquer","slug":"beyond-the-prototype-divide-and-conquer","title":"Beyond the Prototype: Divide-and-conquer Proxies for Few-shot Segmentation","date":"2022-04-21","arxiv_id":"2204.09903","n_code_links":1,"syntology":{"ran":12,"of":13,"n_ran_checked":4,"n_instrument":8,"unverified":1,"pointer_only":1,"phrase":"12 ran (of which 4 constructed an object rather than computing a result; 4 with no instrument failure: 0 honoured, 0 violated, 4 with no contract checked; 8 where Syntology's instrument failed) · 1 unverified","official":{"repos":["chunbolang/DCP"],"state":"official (archive's flag): 11 ran","n_ran":11,"n_constructed":4,"n_ran_no_instrument_failure":4,"n_unverified":1,"ran_from_kinds":["official","unlocated"]}}},{"paper":null,"slug":"is-neuron-coverage-needed-to-make-person","title":"Is Neuron Coverage Needed to Make Person Detection More Robust?","date":"2022-04-21","arxiv_id":"2204.10027","n_code_links":0,"syntology":null},{"paper":null,"slug":"audio-deep-fake-detection-system-with-neural","title":"Audio Deep Fake Detection System with Neural Stitching for ADD 2022","date":"2022-04-19","arxiv_id":"2204.08720","n_code_links":0,"syntology":null},{"paper":"/paper/multimodal-hate-speech-detection-from-bengali","slug":"multimodal-hate-speech-detection-from-bengali","title":"Multimodal Hate Speech Detection from Bengali Memes and Texts","date":"2022-04-19","arxiv_id":"2204.10196","n_code_links":1,"syntology":null},{"paper":"/paper/an-optimal-time-variable-learning-framework","slug":"an-optimal-time-variable-learning-framework","title":"An Optimal Time Variable Learning Framework for Deep Neural Networks","date":"2022-04-18","arxiv_id":"2204.08528","n_code_links":1,"syntology":null},{"paper":null,"slug":"application-of-transfer-learning-and-ensemble","title":"Application of Transfer Learning and Ensemble Learning in Image-level Classification for Breast Histopathology","date":"2022-04-18","arxiv_id":"2204.08311","n_code_links":0,"syntology":null},{"paper":null,"slug":"parallel-network-with-channel-attention-and","title":"Parallel Network with Channel Attention and Post-Processing for Carotid Arteries Vulnerable Plaque Segmentation in Ultrasound Images","date":"2022-04-18","arxiv_id":"2204.08127","n_code_links":0,"syntology":null},{"paper":null,"slug":"deep-learning-based-automatic-detection-of-2","title":"Deep Learning based Automatic Detection of Dicentric Chromosome","date":"2022-04-17","arxiv_id":"2204.08029","n_code_links":0,"syntology":null},{"paper":"/paper/auton-survival-an-open-source-package-for","slug":"auton-survival-an-open-source-package-for","title":"auton-survival: an Open-Source Package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Event Data","date":"2022-04-15","arxiv_id":"2204.07276","n_code_links":3,"syntology":null},{"paper":null,"slug":"detecting-violence-in-video-based-on-deep","title":"Detecting Violence in Video Based on Deep Features Fusion Technique","date":"2022-04-15","arxiv_id":"2204.07443","n_code_links":0,"syntology":null},{"paper":null,"slug":"insta-bnn-binary-neural-network-with-instance","title":"INSTA-BNN: Binary Neural Network with INSTAnce-aware Threshold","date":"2022-04-15","arxiv_id":"2204.07439","n_code_links":0,"syntology":null},{"paper":null,"slug":"from-environmental-sound-representation-to","title":"From Environmental Sound Representation to Robustness of 2D CNN Models Against Adversarial Attacks","date":"2022-04-14","arxiv_id":"2204.07018","n_code_links":0,"syntology":null},{"paper":null,"slug":"de-ireps-searching-for-improved-re","title":"Efficient Re-parameterization Operations Search for Easy-to-Deploy Network Based on Directional Evolutionary Strategy","date":"2022-04-13","arxiv_id":"2204.06403","n_code_links":0,"syntology":null},{"paper":"/paper/dmcnet-diversified-model-combination-network","slug":"dmcnet-diversified-model-combination-network","title":"DMCNet: Diversified Model Combination Network for Understanding Engagement from Video Screengrabs","date":"2022-04-13","arxiv_id":"2204.06454","n_code_links":1,"syntology":null},{"paper":null,"slug":"receding-neuron-importances-for-structured","title":"Receding Neuron Importances for Structured Pruning","date":"2022-04-13","arxiv_id":"2204.06404","n_code_links":0,"syntology":null},{"paper":"/paper/topformer-token-pyramid-transformer-for","slug":"topformer-token-pyramid-transformer-for","title":"TopFormer: Token Pyramid Transformer for Mobile Semantic Segmentation","date":"2022-04-12","arxiv_id":"2204.05525","n_code_links":3,"syntology":{"ran":2,"of":5,"n_ran_checked":2,"n_instrument":0,"unverified":3,"pointer_only":0,"phrase":"2 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 0 violated, 2 with no contract checked; 0 where Syntology's instrument failed) · 3 unverified","official":{"repos":["hustvl/TopFormer"],"state":"community repositories only","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["listed"]}}},{"paper":null,"slug":"dependable-intrusion-detection-system-for-iot","title":"Dependable Intrusion Detection System for IoT: A Deep Transfer Learning-based Approach","date":"2022-04-11","arxiv_id":"2204.04837","n_code_links":0,"syntology":null},{"paper":"/paper/dilemma-self-supervised-shape-and-texture","slug":"dilemma-self-supervised-shape-and-texture","title":"Representation Learning by Detecting Incorrect Location Embeddings","date":"2022-04-10","arxiv_id":"2204.04788","n_code_links":1,"syntology":null},{"paper":"/paper/uncertainty-informed-deep-learning-models","slug":"uncertainty-informed-deep-learning-models","title":"Uncertainty-Informed Deep Learning Models Enable High-Confidence Predictions for Digital Histopathology","date":"2022-04-09","arxiv_id":"2204.04516","n_code_links":2,"syntology":{"ran":9,"of":11,"n_ran_checked":9,"n_instrument":0,"unverified":2,"pointer_only":0,"phrase":"9 ran (of which 0 constructed an object rather than computing a result; 9 with no instrument failure: 0 honoured, 0 violated, 9 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified","official":{"repos":["jamesdolezal/biscuit","jamesdolezal/slideflow"],"state":"official (archive's flag): 9 ran","n_ran":9,"n_constructed":0,"n_ran_no_instrument_failure":9,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"multi-scale-temporal-network-for-continuous","title":"Multi-scale temporal network for continuous sign language recognition","date":"2022-04-08","arxiv_id":"2204.03864","n_code_links":0,"syntology":null},{"paper":"/paper/adapting-clip-for-phrase-localization-without","slug":"adapting-clip-for-phrase-localization-without","title":"Adapting CLIP For Phrase Localization Without Further Training","date":"2022-04-07","arxiv_id":"2204.03647","n_code_links":1,"syntology":{"ran":4,"of":4,"n_ran_checked":4,"n_instrument":0,"unverified":0,"pointer_only":0,"phrase":"4 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 0 honoured, 0 violated, 4 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","official":{"repos":["pals-ttic/adapting-clip"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":0,"n_ran_no_instrument_failure":4,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/mc-unet-multi-module-concatenation-based-on-u","slug":"mc-unet-multi-module-concatenation-based-on-u","title":"MC-UNet Multi-module Concatenation based on U-shape Network for Retinal Blood Vessels Segmentation","date":"2022-04-07","arxiv_id":"2204.03213","n_code_links":1,"syntology":null},{"paper":null,"slug":"pneumonia-detection-in-chest-x-rays-using","title":"Pneumonia Detection in Chest X-Rays using Neural Networks","date":"2022-04-07","arxiv_id":"2204.03618","n_code_links":0,"syntology":null},{"paper":null,"slug":"swarm-behavior-tracking-based-on-a-deep","title":"Swarm behavior tracking based on a deep vision algorithm","date":"2022-04-07","arxiv_id":"2204.03319","n_code_links":0,"syntology":null},{"paper":"/paper/unified-contrastive-learning-in-image-text","slug":"unified-contrastive-learning-in-image-text","title":"Unified Contrastive Learning in Image-Text-Label Space","date":"2022-04-07","arxiv_id":"2204.03610","n_code_links":1,"syntology":{"ran":0,"of":1,"n_ran_checked":0,"n_instrument":0,"unverified":1,"pointer_only":0,"phrase":"0 ran · 1 unverified","official":{"repos":["microsoft/unicl"],"state":"official: harvested, nothing ran","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":1,"ran_from_kinds":[]}}},{"paper":"/paper/efficientcellseg-efficient-volumetric-cell","slug":"efficientcellseg-efficient-volumetric-cell","title":"EfficientCellSeg: Efficient Volumetric Cell Segmentation Using Context Aware Pseudocoloring","date":"2022-04-06","arxiv_id":"2204.03014","n_code_links":1,"syntology":null},{"paper":"/paper/mixformer-mixing-features-across-windows-and","slug":"mixformer-mixing-features-across-windows-and","title":"MixFormer: Mixing Features across Windows and Dimensions","date":"2022-04-06","arxiv_id":"2204.02557","n_code_links":3,"syntology":{"ran":10,"of":14,"n_ran_checked":10,"n_instrument":0,"unverified":4,"pointer_only":0,"phrase":"10 ran (of which 3 constructed an object rather than computing a result; 10 with no instrument failure: 0 honoured, 0 violated, 10 with no contract checked; 0 where Syntology's instrument failed) · 4 unverified","official":{"repos":["PaddlePaddle/PaddleClas"],"state":"community repositories only","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["listed"]}}},{"paper":"/paper/pp-liteseg-a-superior-real-time-semantic","slug":"pp-liteseg-a-superior-real-time-semantic","title":"PP-LiteSeg: A Superior Real-Time Semantic Segmentation Model","date":"2022-04-06","arxiv_id":"2204.02681","n_code_links":3,"syntology":null},{"paper":null,"slug":"a-lightweight-and-accurate-yolo-like-network","title":"A lightweight and accurate YOLO-like network for small target detection in Aerial Imagery","date":"2022-04-05","arxiv_id":"2204.02325","n_code_links":0,"syntology":null},{"paper":null,"slug":"detecting-cloud-based-phishing-attacks-by","title":"Detecting Cloud-Based Phishing Attacks by Combining Deep Learning Models","date":"2022-04-05","arxiv_id":"2204.02446","n_code_links":0,"syntology":null},{"paper":null,"slug":"explainable-deep-learning-algorithm-for","title":"Explainable Deep Learning Algorithm for Distinguishing Incomplete Kawasaki Disease by Coronary Artery Lesions on Echocardiographic Imaging","date":"2022-04-05","arxiv_id":"2204.02403","n_code_links":0,"syntology":null},{"paper":null,"slug":"when-sparsity-meets-dynamic-convolution","title":"SD-Conv: Towards the Parameter-Efficiency of Dynamic Convolution","date":"2022-04-05","arxiv_id":"2204.02227","n_code_links":0,"syntology":null},{"paper":null,"slug":"a-novel-mask-r-cnn-model-to-segment","title":"A Novel Mask R-CNN Model to Segment Heterogeneous Brain Tumors through Image Subtraction","date":"2022-04-04","arxiv_id":"2204.01201","n_code_links":0,"syntology":null},{"paper":"/paper/rediscovery-of-the-effectiveness-of-standard","slug":"rediscovery-of-the-effectiveness-of-standard","title":"EResFD: Rediscovery of the Effectiveness of Standard Convolution for Lightweight Face Detection","date":"2022-04-04","arxiv_id":"2204.01209","n_code_links":1,"syntology":null},{"paper":"/paper/selective-kernel-attention-for-robust-speaker","slug":"selective-kernel-attention-for-robust-speaker","title":"Frequency and Multi-Scale Selective Kernel Attention for Speaker Verification","date":"2022-04-03","arxiv_id":"2204.01005","n_code_links":1,"syntology":null},{"paper":"/paper/triplenet-a-low-computing-power-platform-of","slug":"triplenet-a-low-computing-power-platform-of","title":"Efficient Convolutional Neural Networks on Raspberry Pi for Image Classification","date":"2022-04-02","arxiv_id":"2204.00943","n_code_links":1,"syntology":{"ran":1,"of":1,"n_ran_checked":0,"n_instrument":1,"unverified":0,"pointer_only":1,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified","official":{"repos":["RuiyangJu/TripleNet"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"building-decision-forest-via-deep","title":"Building Decision Forest via Deep Reinforcement Learning","date":"2022-04-01","arxiv_id":"2204.00306","n_code_links":0,"syntology":null},{"paper":null,"slug":"a-temporal-oriented-broadcast-resnet-for","title":"A Temporal-oriented Broadcast ResNet for COVID-19 Detection","date":"2022-03-31","arxiv_id":"2203.17012","n_code_links":0,"syntology":null},{"paper":null,"slug":"automatic-classification-of-alzheimer-s","title":"Automatic Classification of Alzheimer's Disease using brain MRI data and deep Convolutional Neural Networks","date":"2022-03-31","arxiv_id":"2204.00068","n_code_links":0,"syntology":null},{"paper":"/paper/underwater-single-channel-acoustic-signal","slug":"underwater-single-channel-acoustic-signal","title":"Underwater single-channel acoustic signal multitarget recognition using convolutional neural networks","date":"2022-03-31","arxiv_id":null,"n_code_links":1,"syntology":null},{"paper":"/paper/a-fuzzy-distance-based-ensemble-of-deep","slug":"a-fuzzy-distance-based-ensemble-of-deep","title":"A fuzzy distance-based ensemble of deep models for cervical cancer detection","date":"2022-03-30","arxiv_id":null,"n_code_links":1,"syntology":null},{"paper":"/paper/pp-yoloe-an-evolved-version-of-yolo","slug":"pp-yoloe-an-evolved-version-of-yolo","title":"PP-YOLOE: An evolved version of YOLO","date":"2022-03-30","arxiv_id":"2203.16250","n_code_links":8,"syntology":{"ran":22,"of":27,"n_ran_checked":21,"n_instrument":1,"unverified":5,"pointer_only":1,"phrase":"22 ran (of which 0 constructed an object rather than computing a result; 21 with no instrument failure: 2 honoured, 0 violated, 19 with no contract checked; 1 where Syntology's instrument failed) · 5 unverified","official":{"repos":["PaddlePaddle/PaddleDetection"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":2,"n_unverified":0,"ran_from_kinds":["listed","official"]}}},{"paper":"/paper/task-adaptive-parameter-sharing-for-multi","slug":"task-adaptive-parameter-sharing-for-multi","title":"Task Adaptive Parameter Sharing for Multi-Task Learning","date":"2022-03-30","arxiv_id":"2203.16708","n_code_links":1,"syntology":{"ran":1,"of":2,"n_ran_checked":1,"n_instrument":0,"unverified":1,"pointer_only":2,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified","official":null}},{"paper":null,"slug":"a-deep-learning-technique-using-a-sequence-of","title":"A Deep Learning Technique using a Sequence of Follow Up X-Rays for Disease classification","date":"2022-03-28","arxiv_id":"2203.15060","n_code_links":0,"syntology":null},{"paper":null,"slug":"multi-model-ensemble-learning-method-for","title":"Multi-model Ensemble Learning Method for Human Expression Recognition","date":"2022-03-28","arxiv_id":"2203.14466","n_code_links":0,"syntology":null},{"paper":"/paper/rethinking-semantic-segmentation-a-prototype","slug":"rethinking-semantic-segmentation-a-prototype","title":"Rethinking Semantic Segmentation: A Prototype View","date":"2022-03-28","arxiv_id":"2203.15102","n_code_links":1,"syntology":null},{"paper":"/paper/mfsnet-a-multi-focus-segmentation-network-for","slug":"mfsnet-a-multi-focus-segmentation-network-for","title":"MFSNet: A Multi Focus Segmentation Network for Skin Lesion Segmentation","date":"2022-03-27","arxiv_id":"2203.14341","n_code_links":2,"syntology":null},{"paper":null,"slug":"eynet-extended-yolo-for-airport-detection-in","title":"EYNet: Extended YOLO for Airport Detection in Remote Sensing Images","date":"2022-03-26","arxiv_id":"2203.14007","n_code_links":0,"syntology":null},{"paper":null,"slug":"advanced-neural-networks-for-classification","title":"Advanced neural networks for classification of MRI in psoriatic arthritis, seronegative, and seropositive rheumatoid arthritis","date":"2022-03-25","arxiv_id":null,"n_code_links":0,"syntology":null},{"paper":"/paper/frame-level-prediction-of-facial-expressions","slug":"frame-level-prediction-of-facial-expressions","title":"Frame-level Prediction of Facial Expressions, Valence, Arousal and Action Units for Mobile Devices","date":"2022-03-25","arxiv_id":"2203.13436","n_code_links":2,"syntology":null},{"paper":null,"slug":"mdan-multi-level-dependent-attention-network","title":"MDAN: Multi-level Dependent Attention Network for Visual Emotion Analysis","date":"2022-03-25","arxiv_id":"2203.13443","n_code_links":0,"syntology":null},{"paper":"/paper/self-supervised-machine-learning-model-for","slug":"self-supervised-machine-learning-model-for","title":"Semi-supervised machine learning model for analysis of nanowire morphologies from transmission electron microscopy images","date":"2022-03-25","arxiv_id":"2203.13875","n_code_links":1,"syntology":null},{"paper":null,"slug":"semi-supervised-and-deep-learning-frameworks","title":"Semi-supervised and Deep learning Frameworks for Video Classification and Key-frame Identification","date":"2022-03-25","arxiv_id":"2203.13459","n_code_links":0,"syntology":null},{"paper":"/paper/on-exploiting-layerwise-gradient-statistics","slug":"on-exploiting-layerwise-gradient-statistics","title":"A DNN Optimizer that Improves over AdaBelief by Suppression of the Adaptive Stepsize Range","date":"2022-03-24","arxiv_id":"2203.13273","n_code_links":1,"syntology":null},{"paper":"/paper/self-supervised-video-centralised-transformer","slug":"self-supervised-video-centralised-transformer","title":"Self-supervised Video-centralised Transformer for Video Face Clustering","date":"2022-03-24","arxiv_id":"2203.13166","n_code_links":0,"syntology":null},{"paper":null,"slug":"negative-selection-by-clustering-for","title":"Negative Selection by Clustering for Contrastive Learning in Human Activity Recognition","date":"2022-03-23","arxiv_id":"2203.12230","n_code_links":0,"syntology":null},{"paper":"/paper/a-broad-study-of-pre-training-for-domain","slug":"a-broad-study-of-pre-training-for-domain","title":"A Broad Study of Pre-training for Domain Generalization and Adaptation","date":"2022-03-22","arxiv_id":"2203.11819","n_code_links":1,"syntology":{"ran":5,"of":9,"n_ran_checked":3,"n_instrument":2,"unverified":4,"pointer_only":2,"phrase":"5 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 2 where Syntology's instrument failed) · 4 unverified","official":{"repos":["visionlearninggroup/benchmark_domain_transfer"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":0,"n_ran_no_instrument_failure":3,"n_unverified":4,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"a-real-time-junk-food-recognition-system","title":"A Real-time Junk Food Recognition System based on Machine Learning","date":"2022-03-22","arxiv_id":"2203.11836","n_code_links":0,"syntology":null},{"paper":"/paper/delving-into-the-estimation-shift-of-batch","slug":"delving-into-the-estimation-shift-of-batch","title":"Delving into the Estimation Shift of Batch Normalization in a Network","date":"2022-03-21","arxiv_id":"2203.10778","n_code_links":1,"syntology":{"ran":0,"of":1,"n_ran_checked":0,"n_instrument":0,"unverified":1,"pointer_only":0,"phrase":"0 ran · 1 unverified","official":{"repos":["huangleibuaa/xbnblock"],"state":"official: harvested, nothing ran","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":1,"ran_from_kinds":[]}}},{"paper":"/paper/overcoming-oscillations-in-quantization-aware","slug":"overcoming-oscillations-in-quantization-aware","title":"Overcoming Oscillations in Quantization-Aware Training","date":"2022-03-21","arxiv_id":"2203.11086","n_code_links":1,"syntology":{"ran":0,"of":1,"n_ran_checked":0,"n_instrument":0,"unverified":1,"pointer_only":1,"phrase":"0 ran · 1 unverified","official":{"repos":["qualcomm-ai-research/oscillations-qat"],"state":"official: harvested, nothing ran","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":1,"ran_from_kinds":[]}}},{"paper":null,"slug":"phase-aware-spoof-speech-detection-based-on","title":"Phase-Aware Spoof Speech Detection Based on Res2Net with Phase Network","date":"2022-03-21","arxiv_id":"2203.10793","n_code_links":0,"syntology":null},{"paper":"/paper/microracer-a-didactic-environment-for-deep","slug":"microracer-a-didactic-environment-for-deep","title":"MicroRacer: a didactic environment for Deep Reinforcement Learning","date":"2022-03-20","arxiv_id":"2203.10494","n_code_links":1,"syntology":null},{"paper":null,"slug":"over-parameterization-a-necessary-condition","title":"Over-parameterization: A Necessary Condition for Models that Extrapolate","date":"2022-03-20","arxiv_id":"2203.10447","n_code_links":0,"syntology":null},{"paper":null,"slug":"towards-clinical-practice-design-and","title":"Towards Clinical Practice: Design and Implementation of Convolutional Neural Network-Based Assistive Diagnosis System for COVID-19 Case Detection from Chest X-Ray Images","date":"2022-03-20","arxiv_id":"2203.10596","n_code_links":0,"syntology":null},{"paper":null,"slug":"analysis-and-adaptation-of-yolov4-for-object","title":"Analysis and Adaptation of YOLOv4 for Object Detection in Aerial Images","date":"2022-03-18","arxiv_id":"2203.10194","n_code_links":0,"syntology":null},{"paper":"/paper/defending-variational-autoencoders-from","slug":"defending-variational-autoencoders-from","title":"Alleviating Adversarial Attacks on Variational Autoencoders with MCMC","date":"2022-03-18","arxiv_id":"2203.09940","n_code_links":1,"syntology":null},{"paper":null,"slug":"using-the-order-of-tomographic-slices-as-a","title":"Using the Order of Tomographic Slices as a Prior for Neural Networks Pre-Training","date":"2022-03-17","arxiv_id":"2203.09372","n_code_links":0,"syntology":null},{"paper":null,"slug":"a-deep-learning-pipeline-for-breast-cancer-ki-1","title":"A DEEP LEARNING PIPELINE FOR BREAST CANCER KI-67PROLIFERATION INDEX SCORING","date":"2022-03-16","arxiv_id":null,"n_code_links":0,"syntology":null},{"paper":"/paper/raw-waveform-speaker-verification-for","slug":"raw-waveform-speaker-verification-for","title":"Pushing the limits of raw waveform speaker recognition","date":"2022-03-16","arxiv_id":"2203.08488","n_code_links":2,"syntology":null},{"paper":"/paper/relational-self-supervised-learning","slug":"relational-self-supervised-learning","title":"Weak Augmentation Guided Relational Self-Supervised Learning","date":"2022-03-16","arxiv_id":"2203.08717","n_code_links":1,"syntology":{"ran":0,"of":2,"n_ran_checked":0,"n_instrument":0,"unverified":2,"pointer_only":2,"phrase":"0 ran · 2 unverified","official":{"repos":["mingkai-zheng/ReSSL"],"state":"official: harvested, nothing ran","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":2,"ran_from_kinds":[]}}},{"paper":null,"slug":"ta-sbert-token-attention-sentence-bert-for","title":"TA-SBERT: Token Attention Sentence-BERT for Improving Sentence Representation","date":"2022-03-16","arxiv_id":null,"n_code_links":0,"syntology":null},{"paper":"/paper/auco-resnet-an-end-to-end-network-for-covid","slug":"auco-resnet-an-end-to-end-network-for-covid","title":"AUCO ResNet: an end-to-end network for Covid-19 pre-screening from cough and breath","date":"2022-03-15","arxiv_id":null,"n_code_links":1,"syntology":null},{"paper":"/paper/deep-learning-without-shortcuts-shaping-the-1","slug":"deep-learning-without-shortcuts-shaping-the-1","title":"Deep Learning without Shortcuts: Shaping the Kernel with Tailored Rectifiers","date":"2022-03-15","arxiv_id":"2203.08120","n_code_links":1,"syntology":{"ran":14,"of":24,"n_ran_checked":12,"n_instrument":2,"unverified":10,"pointer_only":0,"phrase":"14 ran (of which 0 constructed an object rather than computing a result; 12 with no instrument failure: 7 honoured, 1 violated, 4 with no contract checked; 2 where Syntology's instrument failed) · 10 unverified","official":{"repos":["deepmind/dks"],"state":"official (archive's flag): 11 ran","n_ran":11,"n_constructed":0,"n_ran_no_instrument_failure":9,"n_unverified":7,"ran_from_kinds":["found_in_text","official"]}}}],"record_sha256":"bd82f9fd0434ccf25bab1b0b0ef76feb74019742a6172a04772392deb77f2d09","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}