{"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/saliency-detection/papers/2","list_of":"/task/saliency-detection","task":"Saliency 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":2,"pages_in_order":4,"rows_per_page":100,"rows":[101,200],"of":364,"counts":{"archive_papers_tagged":364,"with_a_code_link":137,"where_syntology_ran_a_sample":25,"not_listed_spam_title":0,"listed":364,"listed_where_code_ran":25,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":22,"every_run_a_failure_of_syntologys_instrument":3,"listed_with_a_run_with_no_instrument_failure":22,"listed_every_run_a_failure_of_syntologys_instrument":3,"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/saliency-detection","prev":"/task/saliency-detection","next":"/task/saliency-detection/papers/3","papers":[{"url":"/paper/reproduction-of-lateral-inhibition-inspired","slug":"reproduction-of-lateral-inhibition-inspired","title":"Reproduction of Lateral Inhibition-Inspired Convolutional Neural Network for Visual Attention and Saliency Detection","date":"2020-05-05","arxiv_id":"2005.02184","repositories_listed":1,"syntology":null},{"url":"/paper/gradient-induced-co-saliency-detection","slug":"gradient-induced-co-saliency-detection","title":"Gradient-Induced Co-Saliency Detection","date":"2020-04-28","arxiv_id":"2004.13364","repositories_listed":1,"syntology":null},{"url":"/paper/uc-net-uncertainty-inspired-rgb-d-saliency","slug":"uc-net-uncertainty-inspired-rgb-d-saliency","title":"UC-Net: Uncertainty Inspired RGB-D Saliency Detection via Conditional Variational Autoencoders","date":"2020-04-13","arxiv_id":"2004.05763","repositories_listed":1,"syntology":null},{"url":"/paper/dfnet-discriminative-feature-extraction-and","slug":"dfnet-discriminative-feature-extraction-and","title":"DFNet: Discriminative feature extraction and integration network for salient object detection","date":"2020-04-03","arxiv_id":"2004.01573","repositories_listed":1,"syntology":null},{"url":"/paper/evaluating-salient-object-detection-in","slug":"evaluating-salient-object-detection-in","title":"Evaluating Salient Object Detection in Natural Images with Multiple Objects having Multi-level Saliency","date":"2020-03-19","arxiv_id":"2003.08514","repositories_listed":1,"syntology":null},{"url":"/paper/adaptive-graph-convolutional-network-with","slug":"adaptive-graph-convolutional-network-with","title":"Adaptive Graph Convolutional Network with Attention Graph Clustering for Co-saliency Detection","date":"2020-03-13","arxiv_id":"2003.06167","repositories_listed":1,"syntology":null},{"url":"/paper/revisiting-saliency-metrics-farthest-neighbor","slug":"revisiting-saliency-metrics-farthest-neighbor","title":"Revisiting Saliency Metrics: Farthest-Neighbor Area Under Curve","date":"2020-02-24","arxiv_id":"2002.10540","repositories_listed":1,"syntology":null},{"url":"/paper/emphcmsalgan-rgb-d-salient-object-detection","slug":"emphcmsalgan-rgb-d-salient-object-detection","title":"\\emph{cm}SalGAN: RGB-D Salient Object Detection with Cross-View Generative Adversarial Networks","date":"2019-12-21","arxiv_id":"1912.10280","repositories_listed":1,"syntology":null},{"url":"/paper/salite-a-light-weight-model-for-salient","slug":"salite-a-light-weight-model-for-salient","title":"SaLite : A light-weight model for salient object detection","date":"2019-12-08","arxiv_id":"1912.03641","repositories_listed":1,"syntology":null},{"url":"/paper/memory-oriented-decoder-for-light-field","slug":"memory-oriented-decoder-for-light-field","title":"Memory-oriented Decoder for Light Field Salient Object Detection","date":"2019-12-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/depth-induced-multi-scale-recurrent-attention","slug":"depth-induced-multi-scale-recurrent-attention","title":"Depth-Induced Multi-Scale Recurrent Attention Network for Saliency Detection","date":"2019-10-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/joint-learning-of-saliency-detection-and","slug":"joint-learning-of-saliency-detection-and","title":"Joint Learning of Saliency Detection and Weakly Supervised Semantic Segmentation","date":"2019-09-09","arxiv_id":"1909.04161","repositories_listed":1,"syntology":null},{"url":"/paper/towards-high-resolution-salient-object","slug":"towards-high-resolution-salient-object","title":"Towards High-Resolution Salient Object Detection","date":"2019-08-20","arxiv_id":"1908.07274","repositories_listed":1,"syntology":null},{"url":"/paper/tased-net-temporally-aggregating-spatial","slug":"tased-net-temporally-aggregating-spatial","title":"TASED-Net: Temporally-Aggregating Spatial Encoder-Decoder Network for Video Saliency Detection","date":"2019-08-15","arxiv_id":"1908.05786","repositories_listed":1,"syntology":{"n":2,"n_ran":0,"n_constructed":0,"n_ran_checked":0,"n_instrument":0,"n_unverified":2,"n_honours":0,"n_violates":0,"n_no_contract":0,"n_pointer_only":0,"phrase":"0 ran · 2 unverified","sample_list":"/paper/tased-net-temporally-aggregating-spatial#ran","syntology_url":"https://syntology.ai/paper/1908.05786","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1908.05786"}},"official":{"repos":["kylemin/TASED-Net"],"state":"official: harvested, nothing ran","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":2,"ran_from_kinds":[]}}},{"url":"/paper/gravitational-laws-of-focus-of-attention","slug":"gravitational-laws-of-focus-of-attention","title":"Gravitational Laws of Focus of Attention","date":"2019-06-04","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/a-mutual-learning-method-for-salient-object","slug":"a-mutual-learning-method-for-salient-object","title":"A Mutual Learning Method for Salient Object Detection With Intertwined Multi-Supervision","date":"2019-06-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/deepco3-deep-instance-co-segmentation-by-co","slug":"deepco3-deep-instance-co-segmentation-by-co","title":"DeepCO3: Deep Instance Co-Segmentation by Co-Peak Search and Co-Saliency Detection","date":"2019-06-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/saliency-detection-based-on-structural","slug":"saliency-detection-based-on-structural","title":"Saliency detection based on structural dissimilarity induced by image quality assessment model","date":"2019-05-24","arxiv_id":"1905.10150","repositories_listed":1,"syntology":null},{"url":"/paper/rgb-t-image-saliency-detection-via","slug":"rgb-t-image-saliency-detection-via","title":"RGB-T Image Saliency Detection via Collaborative Graph Learning","date":"2019-05-16","arxiv_id":"1905.06741","repositories_listed":1,"syntology":null},{"url":"/paper/multi-source-weak-supervision-for-saliency","slug":"multi-source-weak-supervision-for-saliency","title":"Multi-source weak supervision for saliency detection","date":"2019-04-01","arxiv_id":"1904.00566","repositories_listed":1,"syntology":null},{"url":"/paper/salient-object-detection-on-hyperspectral","slug":"salient-object-detection-on-hyperspectral","title":"Salient object detection on hyperspectral images using features learned from unsupervised segmentation task","date":"2019-02-28","arxiv_id":"1902.10993","repositories_listed":1,"syntology":null},{"url":"/paper/mining-objects-fully-unsupervised-object","slug":"mining-objects-fully-unsupervised-object","title":"Object Discovery From a Single Unlabeled Image by Mining Frequent Itemset With Multi-scale Features","date":"2019-02-26","arxiv_id":"1902.09968","repositories_listed":1,"syntology":null},{"url":"/paper/improving-landmark-recognition-using-saliency","slug":"improving-landmark-recognition-using-saliency","title":"Improving Landmark Recognition using Saliency detection and Feature classification","date":"2018-11-30","arxiv_id":"1811.12748","repositories_listed":1,"syntology":null},{"url":"/paper/surface-defect-saliency-of-magnetic-tile","slug":"surface-defect-saliency-of-magnetic-tile","title":"Surface Defect Saliency of Magnetic Tile","date":"2018-08-24","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/learning-to-promote-saliency-detectors","slug":"learning-to-promote-saliency-detectors","title":"Learning to Promote Saliency Detectors","date":"2018-06-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/menet-a-metric-expression-network-for-salient","slug":"menet-a-metric-expression-network-for-salient","title":"Ro-SOS: Metric Expression Network (MEnet) for Robust Salient Object Segmentation","date":"2018-05-15","arxiv_id":"1805.05638","repositories_listed":1,"syntology":null},{"url":"/paper/unsupervised-image-saliency-detection-with","slug":"unsupervised-image-saliency-detection-with","title":"Unsupervised image saliency detection with Gestalt-laws guided optimization and visual attention based refinement","date":"2018-02-14","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/variational-laws-of-visual-attention-for","slug":"variational-laws-of-visual-attention-for","title":"Variational Laws of Visual Attention for Dynamic Scenes","date":"2017-12-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/personalized-saliency-and-its-prediction","slug":"personalized-saliency-and-its-prediction","title":"Personalized Saliency and its Prediction","date":"2017-10-09","arxiv_id":"1710.03011","repositories_listed":1,"syntology":null},{"url":"/paper/a-stagewise-refinement-model-for-detecting","slug":"a-stagewise-refinement-model-for-detecting","title":"A Stagewise Refinement Model for Detecting Salient Objects in Images","date":"2017-10-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/deep-edge-aware-saliency-detection","slug":"deep-edge-aware-saliency-detection","title":"Deep Edge-Aware Saliency Detection","date":"2017-08-15","arxiv_id":"1708.04366","repositories_listed":1,"syntology":null},{"url":"/paper/learning-uncertain-convolutional-features-for","slug":"learning-uncertain-convolutional-features-for","title":"Learning Uncertain Convolutional Features for Accurate Saliency Detection","date":"2017-08-07","arxiv_id":"1708.02031","repositories_listed":1,"syntology":null},{"url":"/paper/hierarchical-cellular-automata-for-visual","slug":"hierarchical-cellular-automata-for-visual","title":"Hierarchical Cellular Automata for Visual Saliency","date":"2017-05-26","arxiv_id":"1705.09425","repositories_listed":1,"syntology":null},{"url":"/paper/saliency-detection-by-forward-and-backward","slug":"saliency-detection-by-forward-and-backward","title":"Saliency Detection by Forward and Backward Cues in Deep-CNNs","date":"2017-03-01","arxiv_id":"1703.00152","repositories_listed":1,"syntology":null},{"url":"/paper/supervised-saliency-map-driven-segmentation","slug":"supervised-saliency-map-driven-segmentation","title":"Supervised Saliency Map Driven Segmentation of the Lesions in Dermoscopic Images","date":"2017-02-28","arxiv_id":"1703.00087","repositories_listed":1,"syntology":null},{"url":"/paper/a-unified-rgb-t-saliency-detection-benchmark","slug":"a-unified-rgb-t-saliency-detection-benchmark","title":"A Unified RGB-T Saliency Detection Benchmark: Dataset, Baselines, Analysis and A Novel Approach","date":"2017-01-11","arxiv_id":"1701.02829","repositories_listed":1,"syntology":null},{"url":"/paper/quantitative-analysis-of-automatic-image","slug":"quantitative-analysis-of-automatic-image","title":"Quantitative Analysis of Automatic Image Cropping Algorithms: A Dataset and Comparative Study","date":"2017-01-05","arxiv_id":"1701.01480","repositories_listed":1,"syntology":null},{"url":null,"slug":"feature-hallucination-for-self-supervised","title":"Feature Hallucination for Self-supervised Action Recognition","date":"2025-06-25","arxiv_id":"2506.20342","repositories_listed":0,"syntology":null},{"url":null,"slug":"low-rate-semantic-communication-with-codebook","title":"Low-Rate Semantic Communication with Codebook-based Conditional Generative Models","date":"2025-04-07","arxiv_id":"2504.04977","repositories_listed":0,"syntology":null},{"url":null,"slug":"collaborative-temporal-consistency-learning","title":"Collaborative Temporal Consistency Learning for Point-supervised Natural Language Video Localization","date":"2025-03-22","arxiv_id":"2503.17651","repositories_listed":0,"syntology":null},{"url":null,"slug":"agsenet-a-robust-road-ponding-detection","title":"AGSENet: A Robust Road Ponding Detection Method for Proactive Traffic Safety","date":"2024-10-22","arxiv_id":"2410.16999","repositories_listed":0,"syntology":null},{"url":null,"slug":"vista-a-visual-and-textual-attention-dataset","title":"VISTA: A Visual and Textual Attention Dataset for Interpreting Multimodal Models","date":"2024-10-06","arxiv_id":"2410.04609","repositories_listed":0,"syntology":null},{"url":null,"slug":"evaluating-saliency-scores-in-point-clouds-of","title":"Evaluating saliency scores in point clouds of natural environments by learning surface anomalies","date":"2024-08-26","arxiv_id":"2408.14421","repositories_listed":0,"syntology":null},{"url":null,"slug":"saliency-detection-in-educational-videos","title":"Saliency Detection in Educational Videos: Analyzing the Performance of Current Models, Identifying Limitations and Advancement Directions","date":"2024-08-08","arxiv_id":"2408.04515","repositories_listed":0,"syntology":null},{"url":null,"slug":"ahmf-adaptive-hybrid-memory-fusion-model-for","title":"AHMF: Adaptive Hybrid-Memory-Fusion Model for Driver Attention Prediction","date":"2024-07-24","arxiv_id":"2407.17442","repositories_listed":0,"syntology":null},{"url":null,"slug":"gsbiqa-green-saliency-guided-blind-image","title":"GSBIQA: Green Saliency-guided Blind Image Quality Assessment Method","date":"2024-07-08","arxiv_id":"2407.05590","repositories_listed":0,"syntology":null},{"url":null,"slug":"smcl-saliency-masked-contrastive-learning-for","title":"SMCL: Saliency Masked Contrastive Learning for Long-tailed Recognition","date":"2024-06-04","arxiv_id":"2406.02223","repositories_listed":0,"syntology":null},{"url":null,"slug":"rgb-guided-tof-imaging-system-a-survey-of","title":"RGB Guided ToF Imaging System: A Survey of Deep Learning-based Methods","date":"2024-05-16","arxiv_id":"2405.10357","repositories_listed":0,"syntology":null},{"url":null,"slug":"salfau-net-saliency-fusion-attention-u-net","title":"SalFAU-Net: Saliency Fusion Attention U-Net for Salient Object Detection","date":"2024-05-05","arxiv_id":"2405.02906","repositories_listed":0,"syntology":null},{"url":null,"slug":"sragan-saliency-regularized-and-attended","title":"SRAGAN: Saliency Regularized and Attended Generative Adversarial Network for Chinese Ink-wash Painting Generation","date":"2024-04-24","arxiv_id":"2404.15743","repositories_listed":0,"syntology":null},{"url":null,"slug":"greensaliency-a-lightweight-and-efficient","title":"GreenSaliency: A Lightweight and Efficient Image Saliency Detection Method","date":"2024-03-30","arxiv_id":"2404.00253","repositories_listed":0,"syntology":null},{"url":null,"slug":"cosalpure-learning-concept-from-group-images","title":"CosalPure: Learning Concept from Group Images for Robust Co-Saliency Detection","date":"2024-03-27","arxiv_id":"2403.18554","repositories_listed":0,"syntology":null},{"url":null,"slug":"extracting-human-attention-through","title":"Extracting Human Attention through Crowdsourced Patch Labeling","date":"2024-03-22","arxiv_id":"2403.15013","repositories_listed":0,"syntology":null},{"url":null,"slug":"auxiliary-tasks-enhanced-dual-affinity","title":"Auxiliary Tasks Enhanced Dual-affinity Learning for Weakly Supervised Semantic Segmentation","date":"2024-03-02","arxiv_id":"2403.01156","repositories_listed":0,"syntology":null},{"url":null,"slug":"enhancing-protein-predictive-models-via","title":"Enhancing Protein Predictive Models via Proteins Data Augmentation: A Benchmark and New Directions","date":"2024-03-01","arxiv_id":"2403.00875","repositories_listed":0,"syntology":null},{"url":null,"slug":"joint-attention-guided-feature-fusion-network","title":"Joint Attention-Guided Feature Fusion Network for Saliency Detection of Surface Defects","date":"2024-02-05","arxiv_id":"2402.02797","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-saliency-enhanced-feature-fusion-based","title":"A Saliency Enhanced Feature Fusion based multiscale RGB-D Salient Object Detection Network","date":"2024-01-22","arxiv_id":"2401.11914","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-volumetric-saliency-guided-image","title":"A Volumetric Saliency Guided Image Summarization for RGB-D Indoor Scene Classification","date":"2024-01-19","arxiv_id":"2401.16227","repositories_listed":0,"syntology":null},{"url":null,"slug":"heap-unsupervised-object-discovery-and","title":"HEAP: Unsupervised Object Discovery and Localization with Contrastive Grouping","date":"2023-12-29","arxiv_id":"2312.17492","repositories_listed":0,"syntology":null},{"url":null,"slug":"viewport-prediction-for-volumetric-video","title":"Viewport Prediction for Volumetric Video Streaming by Exploring Video Saliency and Trajectory Information","date":"2023-11-28","arxiv_id":"2311.16462","repositories_listed":0,"syntology":null},{"url":null,"slug":"all-in-one-rgb-rgb-d-and-rgb-t-salient-object","title":"All in One: RGB, RGB-D, and RGB-T Salient Object Detection","date":"2023-11-23","arxiv_id":"2311.14746","repositories_listed":0,"syntology":null},{"url":"/paper/mitigate-domain-shift-by-primary-auxiliary","slug":"mitigate-domain-shift-by-primary-auxiliary","title":"Mitigate Domain Shift by Primary-Auxiliary Objectives Association for Generalizing Person ReID","date":"2023-10-24","arxiv_id":"2310.15913","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":"global-context-aggregation-network-for","title":"Global Context Aggregation Network for Lightweight Saliency Detection of Surface Defects","date":"2023-09-22","arxiv_id":"2309.12641","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-modal-hybrid-learning-and-sequential","title":"Multi-Modal Hybrid Learning and Sequential Training for RGB-T Saliency Detection","date":"2023-09-13","arxiv_id":"2309.07297","repositories_listed":0,"syntology":null},{"url":null,"slug":"visual-saliency-detection-in-advanced-driver","title":"Visual Saliency Detection in Advanced Driver Assistance Systems","date":"2023-07-26","arxiv_id":"2308.03770","repositories_listed":0,"syntology":null},{"url":"/paper/residual-spatial-fusion-network-for-rgb","slug":"residual-spatial-fusion-network-for-rgb","title":"Residual Spatial Fusion Network for RGB-Thermal Semantic Segmentation","date":"2023-06-17","arxiv_id":"2306.10364","repositories_listed":0,"syntology":null},{"url":null,"slug":"saliency-guided-mutual-learning-network-for","title":"Robust Saliency-Aware Distillation for Few-shot Fine-grained Visual Recognition","date":"2023-05-12","arxiv_id":"2305.07180","repositories_listed":0,"syntology":null},{"url":null,"slug":"sketch2saliency-learning-to-detect-salient","title":"Sketch2Saliency: Learning to Detect Salient Objects from Human Drawings","date":"2023-03-20","arxiv_id":"2303.11502","repositories_listed":0,"syntology":null},{"url":null,"slug":"spectrum-inspired-low-light-image-translation","title":"Spectrum-inspired Low-light Image Translation for Saliency Detection","date":"2023-03-17","arxiv_id":"2303.10145","repositories_listed":0,"syntology":null},{"url":null,"slug":"self-attention-in-vision-transformers","title":"Self-attention in Vision Transformers Performs Perceptual Grouping, Not Attention","date":"2023-03-02","arxiv_id":"2303.01542","repositories_listed":0,"syntology":null},{"url":null,"slug":"saliency-detection-and-quantization-index","title":"HDR image watermarking using saliency detection and quantization index modulation","date":"2023-02-22","arxiv_id":"2302.11361","repositories_listed":0,"syntology":null},{"url":null,"slug":"hidanet-rgb-d-salient-object-detection-via","title":"HiDAnet: RGB-D Salient Object Detection via Hierarchical Depth Awareness","date":"2023-01-18","arxiv_id":"2301.07405","repositories_listed":0,"syntology":null},{"url":null,"slug":"rethinking-lightweight-salient-object","title":"Rethinking Lightweight Salient Object Detection via Network Depth-Width Tradeoff","date":"2023-01-17","arxiv_id":"2301.06679","repositories_listed":0,"syntology":null},{"url":null,"slug":"co-salient-object-detection-with-uncertainty","title":"Co-Salient Object Detection With Uncertainty-Aware Group Exchange-Masking","date":"2023-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"point-cloud-quality-assessment-using-3d","title":"Point Cloud Quality Assessment using 3D Saliency Maps","date":"2022-09-30","arxiv_id":"2209.15475","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-stable-co-saliency-detection-and","title":"Towards Stable Co-saliency Detection and Object Co-segmentation","date":"2022-09-25","arxiv_id":"2209.12138","repositories_listed":0,"syntology":null},{"url":"/paper/tokencut-segmenting-objects-in-images-and","slug":"tokencut-segmenting-objects-in-images-and","title":"TokenCut: Segmenting Objects in Images and Videos with Self-supervised Transformer and Normalized Cut","date":"2022-09-01","arxiv_id":"2209.00383","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-unified-two-stage-group-semantics","title":"A Unified Two-Stage Group Semantics Propagation and Contrastive Learning Network for Co-Saliency Detection","date":"2022-08-13","arxiv_id":"2208.06615","repositories_listed":0,"syntology":null},{"url":null,"slug":"siatrans-siamese-transformer-network-for-rgb","title":"SiaTrans: Siamese Transformer Network for RGB-D Salient Object Detection with Depth Image Classification","date":"2022-07-09","arxiv_id":"2207.04224","repositories_listed":0,"syntology":null},{"url":null,"slug":"salient-object-detection-via-bounding-box","title":"Salient Object Detection via Bounding-box Supervision","date":"2022-05-11","arxiv_id":"2205.05245","repositories_listed":0,"syntology":null},{"url":null,"slug":"saliency-map-using-features-derived-from","title":"Saliency map using features derived from spiking neural networks of primate visual cortex","date":"2022-05-02","arxiv_id":"2205.01159","repositories_listed":0,"syntology":null},{"url":null,"slug":"unsupervised-motor-imagery-saliency-detection","title":"Unsupervised Motor Imagery Saliency Detection Based on Self-Attention Mechanism","date":"2022-04-19","arxiv_id":"2204.08633","repositories_listed":0,"syntology":null},{"url":null,"slug":"fast-hybrid-image-retargeting","title":"Fast Hybrid Image Retargeting","date":"2022-03-25","arxiv_id":"2203.13595","repositories_listed":0,"syntology":null},{"url":null,"slug":"saliency-driven-versatile-video-coding-for","title":"Saliency-Driven Versatile Video Coding for Neural Object Detection","date":"2022-03-11","arxiv_id":"2203.05944","repositories_listed":0,"syntology":null},{"url":null,"slug":"3sd-self-supervised-saliency-detection-with","title":"3SD: Self-Supervised Saliency Detection With No Labels","date":"2022-03-09","arxiv_id":"2203.04478","repositories_listed":0,"syntology":null},{"url":null,"slug":"breast-cancer-detection-using","title":"Breast Cancer Detection using Histopathological Images","date":"2022-02-12","arxiv_id":"2202.06109","repositories_listed":0,"syntology":null},{"url":null,"slug":"disentangle-saliency-detection-into-cascaded","title":"Disentangle Saliency Detection into Cascaded Detail Modeling and Body Filling","date":"2022-02-08","arxiv_id":"2202.04112","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-novel-attention-model-for-salient-structure","title":"A novel attention model for salient structure detection in seismic volumes","date":"2022-01-17","arxiv_id":"2201.06174","repositories_listed":0,"syntology":null},{"url":null,"slug":"saliency-constrained-arbitrary-image-style","title":"Arbitrary Handwriting Image Style Transfer","date":"2022-01-14","arxiv_id":"2201.05346","repositories_listed":0,"syntology":null},{"url":null,"slug":"imagesubject-a-large-scale-dataset-for","title":"ImageSubject: A Large-scale Dataset for Subject Detection","date":"2022-01-09","arxiv_id":"2201.03101","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-source-uncertainty-mining-for-deep","title":"Multi-Source Uncertainty Mining for Deep Unsupervised Saliency Detection","date":"2022-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"transformer-based-network-for-rgb-d-saliency","title":"Transformer-based Network for RGB-D Saliency Detection","date":"2021-12-01","arxiv_id":"2112.00582","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-to-detect-instance-level-salient","title":"Learning to Detect Instance-level Salient Objects Using Complementary Image Labels","date":"2021-11-19","arxiv_id":"2111.10137","repositories_listed":0,"syntology":null},{"url":null,"slug":"saliency-detection-with-moving-camera-via","title":"Saliency detection with moving camera via background model completion","date":"2021-10-30","arxiv_id":"2111.01681","repositories_listed":0,"syntology":null},{"url":"/paper/c-4-net-contextual-compression-and","slug":"c-4-net-contextual-compression-and","title":"C$^{4}$Net: Contextual Compression and Complementary Combination Network for Salient Object Detection","date":"2021-10-22","arxiv_id":"2110.11887","repositories_listed":0,"syntology":null},{"url":"/paper/saliency-detection-via-global-context","slug":"saliency-detection-via-global-context","title":"Saliency Detection via Global Context Enhanced Feature Fusion and Edge Weighted Loss","date":"2021-10-13","arxiv_id":"2110.06550","repositories_listed":0,"syntology":null},{"url":null,"slug":"modality-guided-subnetwork-for-salient-object","title":"Modality-Guided Subnetwork for Salient Object Detection","date":"2021-10-10","arxiv_id":"2110.04904","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-background-invariance-improves","title":"Learning Background Invariance Improves Generalization and Robustness in Self-Supervised Learning on ImageNet and Beyond","date":"2021-09-28","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"reinforcement-learning-based-sparse-black-box","title":"Reinforcement Learning Based Sparse Black-box Adversarial Attack on Video Recognition Models","date":"2021-08-29","arxiv_id":"2108.13872","repositories_listed":0,"syntology":null}],"record_sha256":"2a9ae394d21339979b783bdf513ecea5bfe655e766bd3a09efc1fcf734bdcd89","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}