{"total":134,"rows":[{"id":"2303.11681","title":"DiffuMask: Synthesizing Images with Pixel-level Annotations for Semantic Segmentation Using Diffusion Models","created":"2023-03-21","cited_by_count":162,"area":"diffusion"},{"id":"2203.02891","title":"Multi-class Token Transformer for Weakly Supervised Semantic Segmentation","created":"2022-03-06","cited_by_count":138,"area":null},{"id":"2108.00401","title":"Advances in adversarial attacks and defenses in computer vision: A survey","created":"2021-08-01","cited_by_count":127,"area":null},{"id":"2203.02664","title":"Learning Affinity from Attention: End-to-End Weakly-Supervised Semantic Segmentation with Transformers","created":"2022-03-05","cited_by_count":118,"area":null},{"id":"2212.09506","title":"CLIP is Also an Efficient Segmenter: A Text-Driven Approach for Weakly Supervised Semantic Segmentation","created":"2022-12-16","cited_by_count":118,"area":null},{"id":"2111.12903","title":"Perturbed and Strict Mean Teachers for Semi-supervised Semantic Segmentation","created":"2021-11-25","cited_by_count":113,"area":null},{"id":"2106.03149","title":"Large-scale Unsupervised Semantic Segmentation","created":"2021-06-06","cited_by_count":101,"area":null},{"id":"2203.02909","title":"Self-supervised Image-specific Prototype Exploration for Weakly Supervised Semantic Segmentation","created":"2022-03-06","cited_by_count":87,"area":null},{"id":"2110.07110","title":"Weakly Supervised Semantic Segmentation by Pixel-to-Prototype Contrast","created":"2021-10-14","cited_by_count":85,"area":null},{"id":"2309.02773","title":"Diffusion Model is Secretly a Training-free Open Vocabulary Semantic Segmenter","created":"2023-09-06","cited_by_count":76,"area":"diffusion"},{"id":"2203.00962","title":"Class Re-Activation Maps for Weakly-Supervised Semantic Segmentation","created":"2022-03-02","cited_by_count":75,"area":null},{"id":"2203.02668","title":"Cross Language Image Matching for Weakly Supervised Semantic Segmentation","created":"2022-03-05","cited_by_count":72,"area":null},{"id":"2110.06530","title":"Reducing Information Bottleneck for Weakly Supervised Semantic Segmentation","created":"2021-10-13","cited_by_count":65,"area":null},{"id":"2203.03860","title":"Weakly Supervised Semantic Segmentation using Out-of-Distribution Data","created":"2022-03-08","cited_by_count":58,"area":null},{"id":"2204.03206","title":"L2G: A Simple Local-to-Global Knowledge Transfer Framework for Weakly Supervised Semantic Segmentation","created":"2022-04-07","cited_by_count":57,"area":null},{"id":"2305.05803","title":"Segment Anything Model (SAM) Enhanced Pseudo Labels for Weakly Supervised Semantic Segmentation","created":"2023-05-09","cited_by_count":53,"area":null},{"id":"2201.08657","title":"Enhancing Pseudo Label Quality for Semi-Supervised Domain-Generalized Medical Image Segmentation","created":"2022-01-21","cited_by_count":51,"area":null},{"id":"2303.14042","title":"Class-Incremental Exemplar Compression for Class-Incremental Learning","created":"2023-03-24","cited_by_count":50,"area":null},{"id":"2207.01223","title":"A Survey on Label-efficient Deep Image Segmentation: Bridging the Gap between Weak Supervision and Dense Prediction","created":"2022-07-04","cited_by_count":46,"area":null},{"id":"2210.17400","title":"Max Pooling with Vision Transformers reconciles class and shape in weakly supervised semantic segmentation","created":"2022-10-31","cited_by_count":41,"area":null},{"id":"2203.16045","title":"Threshold Matters in WSSS: Manipulating the Activation for the Robust and Accurate Segmentation Model Against Thresholds","created":"2022-03-30","cited_by_count":37,"area":null},{"id":"2209.07761","title":"Expansion and Shrinkage of Localization for Weakly-Supervised Semantic Segmentation","created":"2022-09-16","cited_by_count":37,"area":null},{"id":"2312.03585","title":"Foundation Model Assisted Weakly Supervised Semantic Segmentation","created":"2023-12-06","cited_by_count":33,"area":null},{"id":"2303.10334","title":"Extracting Class Activation Maps from Non-Discriminative Features as well","created":"2023-03-18","cited_by_count":30,"area":null},{"id":"2112.08996","title":"Activation Modulation and Recalibration Scheme for Weakly Supervised Semantic Segmentation","created":"2021-12-16","cited_by_count":29,"area":null},{"id":"2208.08789","title":"Towards Label-efficient Automatic Diagnosis and Analysis: A Comprehensive Survey of Advanced Deep Learning-based Weakly-supervised, Semi-supervised and Self-supervised Techniques in Histopathological Image Analysis","created":"2022-08-18","cited_by_count":29,"area":null},{"id":"2305.01275","title":"Segment Anything is A Good Pseudo-label Generator for Weakly Supervised Semantic Segmentation","created":"2023-05-02","cited_by_count":27,"area":null},{"id":"2203.07239","title":"TransCAM: Transformer Attention-based CAM Refinement for Weakly Supervised Semantic Segmentation","created":"2022-03-14","cited_by_count":26,"area":null},{"id":"2211.12268","title":"Out-of-Candidate Rectification for Weakly Supervised Semantic Segmentation","created":"2022-11-22","cited_by_count":26,"area":null},{"id":"2204.00220","title":"Bridging the Gap between Classification and Localization for Weakly Supervised Object Localization","created":"2022-04-01","cited_by_count":25,"area":null},{"id":"2307.03407","title":"Distilling Self-Supervised Vision Transformers for Weakly-Supervised Few-Shot Classification & Segmentation","created":"2023-07-07","cited_by_count":24,"area":null},{"id":"2402.02029","title":"ScribFormer: Transformer Makes CNN Work Better for Scribble-based Medical Image Segmentation","created":"2024-02-03","cited_by_count":24,"area":null},{"id":"2304.01184","title":"WeakTr: Exploring Plain Vision Transformer for Weakly-supervised Semantic Segmentation","created":"2023-04-03","cited_by_count":22,"area":null},{"id":"2308.03005","title":"MCTformer+: Multi-Class Token Transformer for Weakly Supervised Semantic Segmentation","created":"2023-08-06","cited_by_count":22,"area":null},{"id":"2303.15062","title":"The Devil is in the Points: Weakly Semi-Supervised Instance Segmentation via Point-Guided Mask Representation","created":"2023-03-27","cited_by_count":21,"area":null},{"id":"2502.06756","title":"SAMRefiner: Taming Segment Anything Model for Universal Mask Refinement","created":"2025-02-10","cited_by_count":20,"area":null},{"id":"2112.09459","title":"Weakly Supervised Semantic Segmentation via Alternative Self-Dual Teaching","created":"2021-12-17","cited_by_count":19,"area":"distill"},{"id":"2202.04812","title":"Weakly-Supervised Semantic Segmentation with Visual Words Learning and Hybrid Pooling","created":"2022-02-10","cited_by_count":19,"area":null},{"id":"2305.01586","title":"An Alternative to WSSS? An Empirical Study of the Segment Anything Model (SAM) on Weakly-Supervised Semantic Segmentation Problems","created":"2023-05-02","cited_by_count":19,"area":null},{"id":"2310.13026","title":"Weakly-Supervised Semantic Segmentation with Image-Level Labels: from Traditional Models to Foundation Models","created":"2023-10-19","cited_by_count":19,"area":null},{"id":"2401.11719","title":"SFC: Shared Feature Calibration in Weakly Supervised Semantic Segmentation","created":"2024-01-22","cited_by_count":19,"area":null},{"id":"2401.11122","title":"Spatial Structure Constraints for Weakly Supervised Semantic Segmentation","created":"2024-01-20","cited_by_count":17,"area":null},{"id":"2411.13836","title":"CLIPer: Hierarchically Improving Spatial Representation of CLIP for Open-Vocabulary Semantic Segmentation","created":"2024-11-21","cited_by_count":17,"area":null},{"id":"2503.12068","title":"Prototype-Based Image Prompting for Weakly Supervised Histopathological Image Segmentation","created":"2025-03-15","cited_by_count":17,"area":null},{"id":"2309.04109","title":"From Text to Mask: Localizing Entities Using the Attention of Text-to-Image Diffusion Models","created":"2023-09-08","cited_by_count":16,"area":"diffusion"},{"id":"2403.07630","title":"Hunting Attributes: Context Prototype-Aware Learning for Weakly Supervised Semantic Segmentation","created":"2024-03-12","cited_by_count":16,"area":null},{"id":"2206.06665","title":"Online Easy Example Mining for Weakly-supervised Gland Segmentation from Histology Images","created":"2022-06-14","cited_by_count":15,"area":null},{"id":"2209.07828","title":"Weakly Supervised Semantic Segmentation via Progressive Patch Learning","created":"2022-09-16","cited_by_count":15,"area":null},{"id":"2303.13090","title":"Orthogonal Annotation Benefits Barely-supervised Medical Image Segmentation","created":"2023-03-23","cited_by_count":15,"area":null},{"id":"2407.10649","title":"Adaptive Patch Contrast for Weakly Supervised Semantic Segmentation","created":"2024-07-15","cited_by_count":15,"area":null},{"id":"2303.07806","title":"USAGE: A Unified Seed Area Generation Paradigm for Weakly Supervised Semantic Segmentation","created":"2023-03-14","cited_by_count":14,"area":null},{"id":"2402.18467","title":"Separate and Conquer: Decoupling Co-occurrence via Decomposition and Representation for Weakly Supervised Semantic Segmentation","created":"2024-02-28","cited_by_count":14,"area":null},{"id":"2304.09913","title":"MARS: Model-agnostic Biased Object Removal without Additional Supervision for Weakly-Supervised Semantic Segmentation","created":"2023-04-19","cited_by_count":13,"area":null},{"id":"2204.04890","title":"Anti-Adversarially Manipulated Attributions for Weakly Supervised Semantic Segmentation and Object Localization","created":"2022-04-11","cited_by_count":12,"area":null},{"id":"2403.01909","title":"Semi-Supervised Semantic Segmentation Based on Pseudo-Labels: A Survey","created":"2024-03-04","cited_by_count":12,"area":null},{"id":"2207.05358","title":"eX-ViT: A Novel eXplainable Vision Transformer for Weakly Supervised Semantic Segmentation","created":"2022-07-12","cited_by_count":11,"area":null},{"id":"2208.01838","title":"Re-Attention Transformer for Weakly Supervised Object Localization","created":"2022-08-03","cited_by_count":11,"area":null},{"id":"2304.01804","title":"Bridging the Gap between Model Explanations in Partially Annotated Multi-label Classification","created":"2023-04-04","cited_by_count":11,"area":null},{"id":"2310.09828","title":"Top-K Pooling with Patch Contrastive Learning for Weakly-Supervised Semantic Segmentation","created":"2023-10-15","cited_by_count":10,"area":null},{"id":"2402.16013","title":"Semi-supervised Open-World Object Detection","created":"2024-02-25","cited_by_count":10,"area":null},{"id":"2409.03209","title":"iSeg: An Iterative Refinement-based Framework for Training-free Segmentation","created":"2024-09-05","cited_by_count":10,"area":"diffusion"},{"id":"2110.14309","title":"Inferring the Class Conditional Response Map for Weakly Supervised Semantic Segmentation","created":"2021-10-27","cited_by_count":9,"area":null},{"id":"2306.03630","title":"Mutual Information Regularization for Weakly-supervised RGB-D Salient Object Detection","created":"2023-06-06","cited_by_count":9,"area":null},{"id":"2112.02841","title":"GETAM: Gradient-weighted Element-wise Transformer Attention Map for Weakly-supervised Semantic segmentation","created":"2021-12-06","cited_by_count":8,"area":null},{"id":"2306.02314","title":"Using Unreliable Pseudo-Labels for Label-Efficient Semantic Segmentation","created":"2023-06-04","cited_by_count":8,"area":null},{"id":"2407.02768","title":"Knowledge Transfer with Simulated Inter-Image Erasing for Weakly Supervised Semantic Segmentation","created":"2024-07-03","cited_by_count":8,"area":null},{"id":"2503.20826","title":"Exploring CLIP's Dense Knowledge for Weakly Supervised Semantic Segmentation","created":"2025-03-26","cited_by_count":8,"area":null},{"id":"2110.01519","title":"Weak-shot Semantic Segmentation by Transferring Semantic Affinity and Boundary","created":"2021-10-04","cited_by_count":7,"area":null},{"id":"2203.13505","title":"Contrastive learning of Class-agnostic Activation Map for Weakly Supervised Object Localization and Semantic Segmentation","created":"2022-03-25","cited_by_count":7,"area":null},{"id":"2307.16256","title":"3D Medical Image Segmentation with Sparse Annotation via Cross-Teaching between 3D and 2D Networks","created":"2023-07-30","cited_by_count":7,"area":null},{"id":"2311.06654","title":"Unsupervised and semi-supervised co-salient object detection via segmentation frequency statistics","created":"2023-11-11","cited_by_count":7,"area":null},{"id":"2108.01296","title":"Dynamic Feature Regularized Loss for Weakly Supervised Semantic Segmentation","created":"2021-08-03","cited_by_count":6,"area":null},{"id":"2208.04286","title":"Exploiting Shape Cues for Weakly Supervised Semantic Segmentation","created":"2022-08-08","cited_by_count":6,"area":null},{"id":"2310.03614","title":"Adversarial Machine Learning for Social Good: Reframing the Adversary as an Ally","created":"2023-10-05","cited_by_count":6,"area":null},{"id":"2401.09883","title":"Question-Answer Cross Language Image Matching for Weakly Supervised Semantic Segmentation","created":"2024-01-18","cited_by_count":6,"area":null},{"id":"2407.11216","title":"Finding Meaning in Points: Weakly Supervised Semantic Segmentation for Event Cameras","created":"2024-07-15","cited_by_count":6,"area":null},{"id":"2410.01341","title":"Cognition Transferring and Decoupling for Text-supervised Egocentric Semantic Segmentation","created":"2024-10-02","cited_by_count":6,"area":null},{"id":"2112.05351","title":"Exploring Pixel-level Self-supervision for Weakly Supervised Semantic Segmentation","created":"2021-12-10","cited_by_count":5,"area":null},{"id":"2209.15211","title":"Dual Progressive Transformations for Weakly Supervised Semantic Segmentation","created":"2022-09-30","cited_by_count":4,"area":null},{"id":"2404.08195","title":"Tackling Ambiguity from Perspective of Uncertainty Inference and Affinity Diversification for Weakly Supervised Semantic Segmentation","created":"2024-04-12","cited_by_count":4,"area":null},{"id":"2405.18148","title":"Learning to Detour: Shortcut Mitigating Augmentation for Weakly Supervised Semantic Segmentation","created":"2024-05-28","cited_by_count":4,"area":null},{"id":"2406.15755","title":"Fine-grained Background Representation for Weakly Supervised Semantic Segmentation","created":"2024-06-22","cited_by_count":4,"area":null},{"id":"2407.10131","title":"WPS-SAM: Towards Weakly-Supervised Part Segmentation with Foundation Models","created":"2024-07-14","cited_by_count":4,"area":null},{"id":"2409.15801","title":"DIAL: Dense Image-text ALignment for Weakly Supervised Semantic Segmentation","created":"2024-09-24","cited_by_count":4,"area":null},{"id":"2412.03968","title":"Exact: Exploring Space-Time Perceptive Clues for Weakly Supervised Satellite Image Time Series Semantic Segmentation","created":"2024-12-05","cited_by_count":4,"area":null},{"id":"2502.15885","title":"DOEI: Dual Optimization of Embedding Information for Attention-Enhanced Class Activation Maps","created":"2025-02-21","cited_by_count":4,"area":null},{"id":"2111.07593","title":"Weakly-Supervised Dense Action Anticipation","created":"2021-11-15","cited_by_count":3,"area":null},{"id":"2112.14019","title":"Semi-supervised Salient Object Detection with Effective Confidence Estimation","created":"2021-12-28","cited_by_count":3,"area":null},{"id":"2304.14601","title":"Improve Video Representation with Temporal Adversarial Augmentation","created":"2023-04-28","cited_by_count":3,"area":null},{"id":"2305.03112","title":"Calibrating Undisciplined Over-Smoothing in Transformer for Weakly Supervised Semantic Segmentation","created":"2023-05-04","cited_by_count":3,"area":null},{"id":"2307.00097","title":"Prompting classes: Exploring the Power of Prompt Class Learning in Weakly Supervised Semantic Segmentation","created":"2023-06-30","cited_by_count":3,"area":null},{"id":"2308.04321","title":"All-pairs Consistency Learning for Weakly Supervised Semantic Segmentation","created":"2023-08-08","cited_by_count":3,"area":null},{"id":"2402.17891","title":"Weakly Supervised Co-training with Swapping Assignments for Semantic Segmentation","created":"2024-02-27","cited_by_count":3,"area":null},{"id":"2403.01156","title":"Auxiliary Tasks Enhanced Dual-affinity Learning for Weakly Supervised Semantic Segmentation","created":"2024-03-02","cited_by_count":3,"area":null},{"id":"2404.00380","title":"DHR: Dual Features-Driven Hierarchical Rebalancing in Inter- and Intra-Class Regions for Weakly-Supervised Semantic Segmentation","created":"2024-03-30","cited_by_count":3,"area":null},{"id":"2404.00921","title":"Towards Label-Efficient Human Matting: A Simple Baseline for Weakly Semi-Supervised Trimap-Free Human Matting","created":"2024-04-01","cited_by_count":3,"area":null},{"id":"2205.01233","title":"One Weird Trick to Improve Your Semi-Weakly Supervised Semantic Segmentation Model","created":"2022-05-02","cited_by_count":2,"area":null},{"id":"2210.14618","title":"SemFormer: Semantic Guided Activation Transformer for Weakly Supervised Semantic Segmentation","created":"2022-10-26","cited_by_count":2,"area":null},{"id":"2303.02449","title":"Exploit CAM by itself: Complementary Learning System for Weakly Supervised Semantic Segmentation","created":"2023-03-04","cited_by_count":2,"area":null},{"id":"2305.08491","title":"Masked Collaborative Contrast for Weakly Supervised Semantic Segmentation","created":"2023-05-15","cited_by_count":2,"area":null}],"next_cursor":"100"}