{"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":"/task/object-detection/papers/65","list_of":"/task/object-detection","task":"Object Detection","archive":{"snapshot":"2025-07-28"},"key_notes":{"n_ran_checked":"legacy name, kept unchanged so existing readers do not break: it counts the samples that ran with no instrument failure (honoured, violated, and ran with no contract checked); it does not mean a contract was checked, and the pages print it as 'K with no instrument failure', not 'K checked'","n_constructed":"a sub-count of the samples that ran, never subtracted from them and never a failure: an executed sample whose run returned an instance of its own class (fixture_out_type equals the entry name): the run built an object and did not compute a result (Syntology's RAN record, counts.constructed)"},"syntology_read_at":"2026-09-28T10:30:06+00:00","order":"archive","order_definition":"repositories listed in the archive (most first), then date (newest first), then slug","page":65,"pages_in_order":110,"rows_per_page":100,"rows":[6401,6500],"of":10957,"counts":{"archive_papers_tagged":10957,"with_a_code_link":4657,"where_syntology_ran_a_sample":1183,"not_listed_spam_title":0,"listed":10957,"listed_where_code_ran":1183,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":1038,"every_run_a_failure_of_syntologys_instrument":145,"listed_with_a_run_with_no_instrument_failure":1038,"listed_every_run_a_failure_of_syntologys_instrument":145,"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":"/task/object-detection","prev":"/task/object-detection/papers/64","next":"/task/object-detection/papers/66","papers":[{"url":null,"slug":"multi-self-supervised-pre-fine-tuned","title":"Multi Self-supervised Pre-fine-tuned Transformer Fusion for Better Intelligent Transportation Detection","date":"2023-10-17","arxiv_id":"2310.11307","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-machine-learning-based-algorithm-for","title":"A Machine Learning-based Algorithm for Automated Detection of Frequency-based Events in Recorded Time Series of Sensor Data","date":"2023-10-16","arxiv_id":"2310.10841","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-non-monotonic-smooth-activation-function","title":"A Non-monotonic Smooth Activation Function","date":"2023-10-16","arxiv_id":"2310.10126","repositories_listed":0,"syntology":null},{"url":null,"slug":"mask-wearing-object-detection-algorithm-based","title":"Mask wearing object detection algorithm based on improved YOLOv5","date":"2023-10-16","arxiv_id":"2310.10245","repositories_listed":0,"syntology":null},{"url":null,"slug":"multimodal-object-query-initialization-for-3d","title":"Multimodal Object Query Initialization for 3D Object Detection","date":"2023-10-16","arxiv_id":"2310.10353","repositories_listed":0,"syntology":null},{"url":null,"slug":"object-detection-in-aerial-images-in-scarce","title":"Object Detection in Aerial Images in Scarce Data Regimes","date":"2023-10-16","arxiv_id":"2310.10433","repositories_listed":0,"syntology":null},{"url":null,"slug":"detecting-moving-objects-using-a-novel","title":"Detecting Moving Objects Using a Novel Optical-Flow-Based Range-Independent Invariant","date":"2023-10-14","arxiv_id":"2310.09627","repositories_listed":0,"syntology":null},{"url":null,"slug":"mac-modality-calibration-for-object-detection","title":"MAC: ModAlity Calibration for Object Detection","date":"2023-10-14","arxiv_id":"2310.09461","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-end-to-end-unsupervised-saliency","title":"Towards End-to-End Unsupervised Saliency Detection with Self-Supervised Top-Down Context","date":"2023-10-14","arxiv_id":"2310.09533","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-spatial-temporal-dual-mode-mixed-flow","title":"A Spatial-Temporal Dual-Mode Mixed Flow Network for Panoramic Video Salient Object Detection","date":"2023-10-13","arxiv_id":"2310.09016","repositories_listed":0,"syntology":null},{"url":null,"slug":"efficient-apple-maturity-and-damage","title":"Efficient Apple Maturity and Damage Assessment: A Lightweight Detection Model with GAN and Attention Mechanism","date":"2023-10-13","arxiv_id":"2310.09347","repositories_listed":0,"syntology":null},{"url":null,"slug":"incremental-object-detection-with-clip","title":"Incremental Object Detection with CLIP","date":"2023-10-13","arxiv_id":"2310.08815","repositories_listed":0,"syntology":null},{"url":null,"slug":"vcl-challenges-2023-at-iccv-2023-technical","title":"VCL Challenges 2023 at ICCV 2023 Technical Report: Bi-level Adaptation Method for Test-time Adaptive Object Detection","date":"2023-10-13","arxiv_id":"2310.08986","repositories_listed":0,"syntology":null},{"url":null,"slug":"extended-target-tracking-utilizing-machine","title":"Extended target tracking utilizing machine-learning software -- with applications to animal classification","date":"2023-10-12","arxiv_id":"2310.08316","repositories_listed":0,"syntology":null},{"url":null,"slug":"graphalign-enhancing-accurate-feature-1","title":"GraphAlign: Enhancing Accurate Feature Alignment by Graph matching for Multi-Modal 3D Object Detection","date":"2023-10-12","arxiv_id":"2310.08261","repositories_listed":0,"syntology":null},{"url":null,"slug":"investigating-the-robustness-and-properties","title":"Investigating the Robustness and Properties of Detection Transformers (DETR) Toward Difficult Images","date":"2023-10-12","arxiv_id":"2310.08772","repositories_listed":0,"syntology":null},{"url":null,"slug":"meanap-guided-reinforced-active-learning-for","title":"Aligning Data Selection with Performance: Performance-driven Reinforcement Learning for Active Learning in Object Detection","date":"2023-10-12","arxiv_id":"2310.08387","repositories_listed":0,"syntology":null},{"url":null,"slug":"performance-power-assessment-of-cnn-packages","title":"Performance/power assessment of CNN packages on embedded automotive platforms","date":"2023-10-12","arxiv_id":"2310.08401","repositories_listed":0,"syntology":null},{"url":null,"slug":"heuristic-vision-pre-training-with-self","title":"Heuristic Vision Pre-Training with Self-Supervised and Supervised Multi-Task Learning","date":"2023-10-11","arxiv_id":"2310.07510","repositories_listed":0,"syntology":null},{"url":null,"slug":"impact-of-label-types-on-training-swin-models","title":"Impact of Label Types on Training SWIN Models with Overhead Imagery","date":"2023-10-11","arxiv_id":"2310.07572","repositories_listed":0,"syntology":null},{"url":null,"slug":"langnav-language-as-a-perceptual","title":"LangNav: Language as a Perceptual Representation for Navigation","date":"2023-10-11","arxiv_id":"2310.07889","repositories_listed":0,"syntology":null},{"url":null,"slug":"pep-a-point-enhanced-painting-method-for","title":"PeP: a Point enhanced Painting method for unified point cloud tasks","date":"2023-10-11","arxiv_id":"2310.07591","repositories_listed":0,"syntology":null},{"url":null,"slug":"3ds-slam-a-3d-object-detection-based-semantic","title":"3DS-SLAM: A 3D Object Detection based Semantic SLAM towards Dynamic Indoor Environments","date":"2023-10-10","arxiv_id":"2310.06385","repositories_listed":0,"syntology":null},{"url":null,"slug":"advanced-efficient-strategy-for-detection-of","title":"Advanced Efficient Strategy for Detection of Dark Objects Based on Spiking Network with Multi-Box Detection","date":"2023-10-10","arxiv_id":"2310.06370","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-learning-for-automatic-detection-and","title":"Deep Learning for Automatic Detection and Facial Recognition in Japanese Macaques: Illuminating Social Networks","date":"2023-10-10","arxiv_id":"2310.06489","repositories_listed":0,"syntology":null},{"url":null,"slug":"fire-detection-from-image-and-video-using","title":"Fire Detection From Image and Video Using YOLOv5","date":"2023-10-10","arxiv_id":"2310.06351","repositories_listed":0,"syntology":null},{"url":null,"slug":"focus-on-local-regions-for-query-based-object","title":"Focus on Local Regions for Query-based Object Detection","date":"2023-10-10","arxiv_id":"2310.06470","repositories_listed":0,"syntology":null},{"url":null,"slug":"precise-payload-delivery-via-unmanned-aerial","title":"Precise Payload Delivery via Unmanned Aerial Vehicles: An Approach Using Object Detection Algorithms","date":"2023-10-10","arxiv_id":"2310.06329","repositories_listed":0,"syntology":null},{"url":null,"slug":"solution-for-smart-101-challenge-of-iccv","title":"Solution for SMART-101 Challenge of ICCV Multi-modal Algorithmic Reasoning Task 2023","date":"2023-10-10","arxiv_id":"2310.06440","repositories_listed":0,"syntology":null},{"url":null,"slug":"anyview-generalizable-indoor-3d-object","title":"Anyview: Generalizable Indoor 3D Object Detection with Variable Frames","date":"2023-10-09","arxiv_id":"2310.05346","repositories_listed":0,"syntology":null},{"url":null,"slug":"cobevfusion-cooperative-perception-with-lidar","title":"CoBEVFusion: Cooperative Perception with LiDAR-Camera Bird's-Eye View Fusion","date":"2023-10-09","arxiv_id":"2310.06008","repositories_listed":0,"syntology":null},{"url":null,"slug":"danet-enhancing-small-object-detection","title":"DANet: Enhancing Small Object Detection through an Efficient Deformable Attention Network","date":"2023-10-09","arxiv_id":"2310.05768","repositories_listed":0,"syntology":null},{"url":null,"slug":"hierarchical-side-tuning-for-vision","title":"Hierarchical Side-Tuning for Vision Transformers","date":"2023-10-09","arxiv_id":"2310.05393","repositories_listed":0,"syntology":null},{"url":null,"slug":"joint-object-detection-and-re-identification","title":"Joint object detection and re-identification for 3D obstacle multi-camera systems","date":"2023-10-09","arxiv_id":"2310.05785","repositories_listed":0,"syntology":null},{"url":null,"slug":"rotation-matters-generalized-monocular-3d","title":"Rotation Matters: Generalized Monocular 3D Object Detection for Various Camera Systems","date":"2023-10-09","arxiv_id":"2310.05366","repositories_listed":0,"syntology":null},{"url":null,"slug":"simplr-a-simple-and-plain-transformer-for","title":"SimPLR: A Simple and Plain Transformer for Scaling-Efficient Object Detection and Segmentation","date":"2023-10-09","arxiv_id":"2310.05920","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-fair-and-comprehensive-comparisons-1","title":"Towards Fair and Comprehensive Comparisons for Image-Based 3D Object Detection","date":"2023-10-09","arxiv_id":"2310.05447","repositories_listed":0,"syntology":null},{"url":null,"slug":"uavs-and-neural-networks-for-search-and","title":"UAVs and Neural Networks for search and rescue missions","date":"2023-10-09","arxiv_id":"2310.05512","repositories_listed":0,"syntology":null},{"url":null,"slug":"detecting-abnormal-health-conditions-in-smart","title":"Detecting Abnormal Health Conditions in Smart Home Using a Drone","date":"2023-10-08","arxiv_id":"2310.05012","repositories_listed":0,"syntology":null},{"url":null,"slug":"enhancing-representations-through","title":"Enhancing Representations through Heterogeneous Self-Supervised Learning","date":"2023-10-08","arxiv_id":"2310.05108","repositories_listed":0,"syntology":null},{"url":null,"slug":"activate-and-reject-towards-safe-domain-1","title":"Activate and Reject: Towards Safe Domain Generalization under Category Shift","date":"2023-10-07","arxiv_id":"2310.04724","repositories_listed":0,"syntology":null},{"url":null,"slug":"dynamicbev-leveraging-dynamic-queries-and","title":"QE-BEV: Query Evolution for Bird's Eye View Object Detection in Varied Contexts","date":"2023-10-07","arxiv_id":"2310.05989","repositories_listed":0,"syntology":null},{"url":null,"slug":"fully-sparse-long-range-3d-object-detection","title":"Towards Long-Range 3D Object Detection for Autonomous Vehicles","date":"2023-10-07","arxiv_id":"2310.04800","repositories_listed":0,"syntology":null},{"url":null,"slug":"cupre-cross-domain-unsupervised-pre-training","title":"CUPre: Cross-domain Unsupervised Pre-training for Few-Shot Cell Segmentation","date":"2023-10-06","arxiv_id":"2310.03981","repositories_listed":0,"syntology":null},{"url":null,"slug":"dense-random-texture-detection-using-beta","title":"Dense Random Texture Detection using Beta Distribution Statistics","date":"2023-10-06","arxiv_id":"2310.04111","repositories_listed":0,"syntology":null},{"url":null,"slug":"parking-spot-classification-based-on-surround","title":"Parking Spot Classification based on surround view camera system","date":"2023-10-05","arxiv_id":"2310.12997","repositories_listed":0,"syntology":null},{"url":null,"slug":"real-time-multi-modal-object-detection-and","title":"Real-time Multi-modal Object Detection and Tracking on Edge for Regulatory Compliance Monitoring","date":"2023-10-05","arxiv_id":"2310.03333","repositories_listed":0,"syntology":null},{"url":null,"slug":"swin-tempo-temporal-aware-lung-nodule","title":"Swin-Tempo: Temporal-Aware Lung Nodule Detection in CT Scans as Video Sequences Using Swin Transformer-Enhanced UNet","date":"2023-10-05","arxiv_id":"2310.03365","repositories_listed":0,"syntology":null},{"url":null,"slug":"marinedet-towards-open-marine-object","title":"MarineDet: Towards Open-Marine Object Detection","date":"2023-10-03","arxiv_id":"2310.01931","repositories_listed":0,"syntology":null},{"url":null,"slug":"oneadapt-fast-adaptation-for-deep-learning","title":"OneAdapt: Fast Configuration Adaptation for Video Analytics Applications via Backpropagation","date":"2023-10-03","arxiv_id":"2310.02422","repositories_listed":0,"syntology":null},{"url":null,"slug":"every-dataset-counts-scaling-up-monocular-3d","title":"Every Dataset Counts: Scaling up Monocular 3D Object Detection with Joint Datasets Training","date":"2023-10-02","arxiv_id":"2310.00920","repositories_listed":0,"syntology":null},{"url":null,"slug":"ls-vos-identifying-outliers-in-3d-object","title":"LS-VOS: Identifying Outliers in 3D Object Detections Using Latent Space Virtual Outlier Synthesis","date":"2023-10-02","arxiv_id":"2310.00952","repositories_listed":0,"syntology":null},{"url":null,"slug":"pixel-aligned-recurrent-queries-for-multi-1","title":"Pixel-Aligned Recurrent Queries for Multi-View 3D Object Detection","date":"2023-10-02","arxiv_id":"2310.01401","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-robust-3d-object-detection-in-rainy","title":"Towards Robust 3D Object Detection In Rainy Conditions","date":"2023-10-02","arxiv_id":"2310.00944","repositories_listed":0,"syntology":null},{"url":null,"slug":"you-do-not-need-additional-priors-in","title":"You Do Not Need Additional Priors in Camouflage Object Detection","date":"2023-10-01","arxiv_id":"2310.00702","repositories_listed":0,"syntology":null},{"url":null,"slug":"ai-dentify-deep-learning-for-proximal-caries","title":"AI-Dentify: Deep learning for proximal caries detection on bitewing x-ray -- HUNT4 Oral Health Study","date":"2023-09-30","arxiv_id":"2310.00354","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-active-learning-with-noisy-oracle-in","title":"Deep Active Learning with Noisy Oracle in Object Detection","date":"2023-09-30","arxiv_id":"2310.00372","repositories_listed":0,"syntology":null},{"url":null,"slug":"monogae-roadside-monocular-3d-object","title":"MonoGAE: Roadside Monocular 3D Object Detection with Ground-Aware Embeddings","date":"2023-09-30","arxiv_id":"2310.00400","repositories_listed":0,"syntology":null},{"url":null,"slug":"rbf-weighted-hyper-involution-for-rgb-d","title":"RBF Weighted Hyper-Involution for RGB-D Object Detection","date":"2023-09-30","arxiv_id":"2310.00342","repositories_listed":0,"syntology":null},{"url":null,"slug":"imagery-dataset-for-condition-monitoring-of","title":"Imagery Dataset for Condition Monitoring of Synthetic Fibre Ropes","date":"2023-09-29","arxiv_id":"2309.17058","repositories_listed":0,"syntology":null},{"url":"/paper/score-submodular-combinatorial-representation","slug":"score-submodular-combinatorial-representation","title":"SCoRe: Submodular Combinatorial Representation Learning","date":"2023-09-29","arxiv_id":"2310.00165","repositories_listed":0,"syntology":{"n":1,"n_ran":1,"n_constructed":1,"n_ran_checked":1,"n_instrument":0,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":1,"n_pointer_only":1,"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","sample_list":"/paper/score-submodular-combinatorial-representation#ran","syntology_url":"https://syntology.ai/paper/2310.00165","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2310.00165"}},"official":null}},{"url":null,"slug":"bevheight-toward-robust-visual-centric-3d","title":"BEVHeight++: Toward Robust Visual Centric 3D Object Detection","date":"2023-09-28","arxiv_id":"2309.16179","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-learning-based-systems-for-crater","title":"Deep Learning based Systems for Crater Detection: A Review","date":"2023-09-28","arxiv_id":"2310.07727","repositories_listed":0,"syntology":null},{"url":null,"slug":"lef-late-to-early-temporal-fusion-for-lidar","title":"LEF: Late-to-Early Temporal Fusion for LiDAR 3D Object Detection","date":"2023-09-28","arxiv_id":"2309.16870","repositories_listed":0,"syntology":null},{"url":null,"slug":"prompt-enhanced-self-supervised","title":"CtxMIM: Context-Enhanced Masked Image Modeling for Remote Sensing Image Understanding","date":"2023-09-28","arxiv_id":"2310.00022","repositories_listed":0,"syntology":null},{"url":null,"slug":"simulation-based-safety-assurance-for-an-avp","title":"Simulation-based Safety Assurance for an AVP System incorporating Learning-Enabled Components","date":"2023-09-28","arxiv_id":"2311.03362","repositories_listed":0,"syntology":null},{"url":null,"slug":"tensor-factorization-for-leveraging-cross","title":"Tensor Factorization for Leveraging Cross-Modal Knowledge in Data-Constrained Infrared Object Detection","date":"2023-09-28","arxiv_id":"2309.16592","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-study-on-tiny-yolo-for-resource-constrained","title":"A Study on Tiny YOLO for Resource Constrained Xray Threat Detection","date":"2023-09-27","arxiv_id":"2309.15601","repositories_listed":0,"syntology":null},{"url":null,"slug":"cross-dataset-experimental-study-of-radar","title":"Cross-Dataset Experimental Study of Radar-Camera Fusion in Bird's-Eye View","date":"2023-09-27","arxiv_id":"2309.15465","repositories_listed":0,"syntology":null},{"url":null,"slug":"highly-efficient-snns-for-high-speed-object","title":"Highly Efficient SNNs for High-speed Object Detection","date":"2023-09-27","arxiv_id":"2309.15883","repositories_listed":0,"syntology":null},{"url":null,"slug":"joint-yodnet-a-light-weight-object-detector","title":"Joint-YODNet: A Light-weight Object Detector for UAVs to Achieve Above 100fps","date":"2023-09-27","arxiv_id":"2309.15782","repositories_listed":0,"syntology":null},{"url":null,"slug":"low-latency-of-object-detection-for-spikng","title":"Low Latency of object detection for spikng neural network","date":"2023-09-27","arxiv_id":"2309.15555","repositories_listed":0,"syntology":null},{"url":null,"slug":"donnav2-lightweight-neural-architecture","title":"DONNAv2 -- Lightweight Neural Architecture Search for Vision tasks","date":"2023-09-26","arxiv_id":"2309.14670","repositories_listed":0,"syntology":null},{"url":null,"slug":"zico-bc-a-bias-corrected-zero-shot-nas-for","title":"ZiCo-BC: A Bias Corrected Zero-Shot NAS for Vision Tasks","date":"2023-09-26","arxiv_id":"2309.14666","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-sam-based-solution-for-hierarchical","title":"A SAM-based Solution for Hierarchical Panoptic Segmentation of Crops and Weeds Competition","date":"2023-09-24","arxiv_id":"2309.13578","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-learning-based-connector-detection-for","title":"Deep Learning-Based Connector Detection for Robotized Assembly of Automotive Wire Harnesses","date":"2023-09-24","arxiv_id":"2309.13746","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-unified-scheme-of-resnet-and-softmax","title":"A Unified Scheme of ResNet and Softmax","date":"2023-09-23","arxiv_id":"2309.13482","repositories_listed":0,"syntology":null},{"url":null,"slug":"algorithms-for-object-detection-in","title":"Algorithms for Object Detection in Substations","date":"2023-09-23","arxiv_id":"2311.07577","repositories_listed":0,"syntology":null},{"url":null,"slug":"class-attendance-system-in-education-with","title":"Class Attendance System in Education with Deep Learning Method","date":"2023-09-23","arxiv_id":"2309.13317","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-modal-domain-adaptation-for-reg-via","title":"Multi-modal Domain Adaptation for REG via Relation Transfer","date":"2023-09-23","arxiv_id":"2309.13247","repositories_listed":0,"syntology":null},{"url":null,"slug":"randomize-to-generalize-domain-randomization","title":"Randomize to Generalize: Domain Randomization for Runway FOD Detection","date":"2023-09-23","arxiv_id":"2309.13264","repositories_listed":0,"syntology":null},{"url":null,"slug":"rtrack-accelerating-convergence-for-visual","title":"RTrack: Accelerating Convergence for Visual Object Tracking via Pseudo-Boxes Exploration","date":"2023-09-23","arxiv_id":"2309.13257","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-real-time-multi-task-learning-system-for","title":"A Real-Time Multi-Task Learning System for Joint Detection of Face, Facial Landmark and Head Pose","date":"2023-09-21","arxiv_id":"2309.11773","repositories_listed":0,"syntology":null},{"url":null,"slug":"deyov3-detr-with-yolo-for-real-time-object","title":"DEYOv3: DETR with YOLO for Real-time Object Detection","date":"2023-09-21","arxiv_id":"2309.11851","repositories_listed":0,"syntology":null},{"url":null,"slug":"dualtoken-vit-position-aware-efficient-vision","title":"DualToken-ViT: Position-aware Efficient Vision Transformer with Dual Token Fusion","date":"2023-09-21","arxiv_id":"2309.12424","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-large-scale-dataset-for-audio-language","title":"Auto-ACD: A Large-scale Dataset for Audio-Language Representation Learning","date":"2023-09-20","arxiv_id":"2309.11500","repositories_listed":0,"syntology":null},{"url":null,"slug":"dynamic-tiling-a-model-agnostic-adaptive","title":"Dynamic Tiling: A Model-Agnostic, Adaptive, Scalable, and Inference-Data-Centric Approach for Efficient and Accurate Small Object Detection","date":"2023-09-20","arxiv_id":"2309.11069","repositories_listed":0,"syntology":null},{"url":null,"slug":"sempart-self-supervised-multi-resolution","title":"SEMPART: Self-supervised Multi-resolution Partitioning of Image Semantics","date":"2023-09-20","arxiv_id":"2309.10972","repositories_listed":0,"syntology":null},{"url":null,"slug":"intelligent-debris-mass-estimation-model-for","title":"Intelligent Debris Mass Estimation Model for Autonomous Underwater Vehicle","date":"2023-09-19","arxiv_id":"2309.10617","repositories_listed":0,"syntology":null},{"url":null,"slug":"linemarknet-line-landmark-detection-for-valet","title":"LineMarkNet: Line Landmark Detection for Valet Parking","date":"2023-09-19","arxiv_id":"2309.10475","repositories_listed":0,"syntology":null},{"url":null,"slug":"application-driven-validation-of-posteriors","title":"Application-driven Validation of Posteriors in Inverse Problems","date":"2023-09-18","arxiv_id":"2309.09764","repositories_listed":0,"syntology":null},{"url":null,"slug":"heterogeneous-generative-knowledge","title":"Heterogeneous Generative Knowledge Distillation with Masked Image Modeling","date":"2023-09-18","arxiv_id":"2309.09571","repositories_listed":0,"syntology":null},{"url":null,"slug":"mutual-information-calibrated-conformal","title":"Mutual Information-calibrated Conformal Feature Fusion for Uncertainty-Aware Multimodal 3D Object Detection at the Edge","date":"2023-09-18","arxiv_id":"2309.09593","repositories_listed":0,"syntology":null},{"url":null,"slug":"object2scene-putting-objects-in-context-for","title":"Object2Scene: Putting Objects in Context for Open-Vocabulary 3D Detection","date":"2023-09-18","arxiv_id":"2309.09456","repositories_listed":0,"syntology":null},{"url":null,"slug":"forensic-video-analytic-software","title":"Forensic Video Analytic Software","date":"2023-09-17","arxiv_id":"2401.02960","repositories_listed":0,"syntology":null},{"url":null,"slug":"emerging-approaches-for-thz-array-imaging-a","title":"Emerging Approaches for THz Array Imaging: A Tutorial Review and Software Tool","date":"2023-09-16","arxiv_id":"2309.08844","repositories_listed":0,"syntology":null},{"url":null,"slug":"intellibeehive-an-automated-honey-bee-pollen","title":"IntelliBeeHive: An Automated Honey Bee, Pollen, and Varroa Destructor Monitoring System","date":"2023-09-16","arxiv_id":"2309.08955","repositories_listed":0,"syntology":null},{"url":null,"slug":"robust-backdoor-attacks-on-object-detection","title":"Robust Backdoor Attacks on Object Detection in Real World","date":"2023-09-16","arxiv_id":"2309.08953","repositories_listed":0,"syntology":null},{"url":null,"slug":"semantics-aware-lidar-only-pseudo-point-cloud","title":"Semantics-aware LiDAR-Only Pseudo Point Cloud Generation for 3D Object Detection","date":"2023-09-16","arxiv_id":"2309.08932","repositories_listed":0,"syntology":null},{"url":null,"slug":"da-raw-domain-adaptive-object-detection-for","title":"DA-RAW: Domain Adaptive Object Detection for Real-World Adverse Weather Conditions","date":"2023-09-15","arxiv_id":"2309.08152","repositories_listed":0,"syntology":null}],"record_sha256":"f77be6914fc388ac64ac2f4a6ed53a74b6d8de0a61be7ed7e12561b887eb6206","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}