{"total":98,"rows":[{"id":"2204.13132","title":"HRDA: Context-Aware High-Resolution Domain-Adaptive Semantic Segmentation","created":"2022-04-27","cited_by_count":164,"area":null},{"id":"2103.08896","title":"Anti-Adversarially Manipulated Attributions for Weakly and Semi-Supervised Semantic Segmentation","created":"2021-03-16","cited_by_count":134,"area":null},{"id":"2206.07045","title":"ReCo: Retrieve and Co-segment for Zero-shot Transfer","created":"2022-06-14","cited_by_count":117,"area":null},{"id":"2106.14133","title":"Semi-supervised Semantic Segmentation with Directional Context-aware Consistency","created":"2021-06-27","cited_by_count":112,"area":null},{"id":"2103.08907","title":"BBAM: Bounding Box Attribution Map for Weakly Supervised Semantic and Instance Segmentation","created":"2021-03-16","cited_by_count":105,"area":null},{"id":"2103.14581","title":"Non-Salient Region Object Mining for Weakly Supervised Semantic Segmentation","created":"2021-03-26","cited_by_count":95,"area":null},{"id":"2107.11787","title":"Leveraging Auxiliary Tasks with Affinity Learning for Weakly Supervised Semantic Segmentation","created":"2021-07-25","cited_by_count":77,"area":null},{"id":"2203.00962","title":"Class Re-Activation Maps for Weakly-Supervised Semantic Segmentation","created":"2022-03-02","cited_by_count":75,"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":"2203.09653","title":"Regional Semantic Contrast and Aggregation for Weakly Supervised Semantic Segmentation","created":"2022-03-17","cited_by_count":64,"area":null},{"id":"2305.08196","title":"A Comprehensive Survey on Segment Anything Model for Vision and Beyond","created":"2023-05-14","cited_by_count":64,"area":null},{"id":"2110.03740","title":"Adaptive Early-Learning Correction for Segmentation from Noisy Annotations","created":"2021-10-07","cited_by_count":62,"area":null},{"id":"2105.06464","title":"DiscoBox: Weakly Supervised Instance Segmentation and Semantic Correspondence from Box Supervision","created":"2021-05-13","cited_by_count":59,"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":"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":"2106.04054","title":"Affinity Attention Graph Neural Network for Weakly Supervised Semantic Segmentation","created":"2021-06-08","cited_by_count":47,"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":"2105.00957","title":"Universal Weakly Supervised Segmentation by Pixel-to-Segment Contrastive Learning","created":"2021-05-03","cited_by_count":43,"area":null},{"id":"2104.00905","title":"Background-Aware Pooling and Noise-Aware Loss for Weakly-Supervised Semantic Segmentation","created":"2021-04-02","cited_by_count":41,"area":null},{"id":"2104.13243","title":"Every Annotation Counts: Multi-label Deep Supervision for Medical Image Segmentation","created":"2021-04-27","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":"2104.06394","title":"All you need are a few pixels: semantic segmentation with PixelPick","created":"2021-04-13","cited_by_count":31,"area":null},{"id":"2108.07682","title":"Fully Convolutional Networks for Panoptic Segmentation with Point-based Supervision","created":"2021-08-17","cited_by_count":31,"area":null},{"id":"2306.01736","title":"DaTaSeg: Taming a Universal Multi-Dataset Multi-Task Segmentation Model","created":"2023-06-02","cited_by_count":31,"area":null},{"id":"2302.06378","title":"Semantic Image Segmentation: Two Decades of Research","created":"2023-02-13","cited_by_count":27,"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":"2108.01344","title":"Adaptive Affinity Loss and Erroneous Pseudo-Label Refinement for Weakly Supervised Semantic Segmentation","created":"2021-08-03","cited_by_count":22,"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":"2210.13950","title":"Pointly-Supervised Panoptic Segmentation","created":"2022-10-25","cited_by_count":21,"area":null},{"id":"2104.01526","title":"Weakly-supervised Instance Segmentation via Class-agnostic Learning with Salient Images","created":"2021-04-04","cited_by_count":20,"area":null},{"id":"2303.15904","title":"Mask-Free Video Instance Segmentation","created":"2023-03-28","cited_by_count":20,"area":null},{"id":"2102.09896","title":"Scribble-Supervised Semantic Segmentation by Uncertainty Reduction on Neural Representation and Self-Supervision on Neural Eigenspace","created":"2021-02-19","cited_by_count":19,"area":null},{"id":"2103.12886","title":"Weakly Supervised Instance Segmentation for Videos with Temporal Mask Consistency","created":"2021-03-23","cited_by_count":19,"area":null},{"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":"2206.09554","title":"Saliency Guided Inter- and Intra-Class Relation Constraints for Weakly Supervised Semantic Segmentation","created":"2022-06-20","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":"2104.10127","title":"Generative Transformer for Accurate and Reliable Salient Object Detection","created":"2021-04-20","cited_by_count":18,"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":"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":"2111.15210","title":"Point Cloud Instance Segmentation with Semi-supervised Bounding-Box Mining","created":"2021-11-30","cited_by_count":15,"area":null},{"id":"2406.11189","title":"Frozen CLIP: A Strong Backbone for Weakly Supervised Semantic Segmentation","created":"2024-06-17","cited_by_count":15,"area":null},{"id":"2108.13393","title":"Seminar Learning for Click-Level Weakly Supervised Semantic Segmentation","created":"2021-08-30","cited_by_count":14,"area":"distill"},{"id":"2303.17774","title":"Semi-Weakly Supervised Object Kinematic Motion Prediction","created":"2023-03-31","cited_by_count":14,"area":null},{"id":"2208.06449","title":"When CNN Meet with ViT: Towards Semi-Supervised Learning for Multi-Class Medical Image Semantic Segmentation","created":"2022-08-12","cited_by_count":13,"area":null},{"id":"2208.14227","title":"CLUDA : Contrastive Learning in Unsupervised Domain Adaptation for Semantic Segmentation","created":"2022-08-27","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":"2212.07592","title":"Solve the Puzzle of Instance Segmentation in Videos: A Weakly Supervised Framework with Spatio-Temporal Collaboration","created":"2022-12-15","cited_by_count":11,"area":null},{"id":"2103.14572","title":"Sparse Object-level Supervision for Instance Segmentation with Pixel Embeddings","created":"2021-03-26","cited_by_count":10,"area":null},{"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":"2212.03504","title":"LWSIS: LiDAR-guided Weakly Supervised Instance Segmentation for Autonomous Driving","created":"2022-12-07","cited_by_count":9,"area":null},{"id":"2107.13154","title":"Global Aggregation then Local Distribution for Scene Parsing","created":"2021-07-28","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":"2205.04227","title":"Mixed-UNet: Refined Class Activation Mapping for Weakly-Supervised Semantic Segmentation with Multi-scale Inference","created":"2022-05-06","cited_by_count":7,"area":null},{"id":"2303.11678","title":"Full or Weak annotations? An adaptive strategy for budget-constrained annotation campaigns","created":"2023-03-21","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":"2312.10600","title":"How to Efficiently Annotate Images for Best-Performing Deep Learning Based Segmentation Models: An Empirical Study with Weak and Noisy Annotations and Segment Anything Model","created":"2023-12-17","cited_by_count":7,"area":null},{"id":"2305.19879","title":"RaSP: Relation-aware Semantic Prior for Weakly Supervised Incremental Segmentation","created":"2023-05-31","cited_by_count":6,"area":null},{"id":"2308.02162","title":"Learning Referring Video Object Segmentation from Weak Annotation","created":"2023-08-04","cited_by_count":6,"area":null},{"id":"2411.13873","title":"Sli2Vol+: Segmenting 3D Medical Images Based on an Object Estimation Guided Correspondence Flow Network","created":"2024-11-21","cited_by_count":6,"area":null},{"id":"2407.13363","title":"Learning from the Web: Language Drives Weakly-Supervised Incremental Learning for Semantic Segmentation","created":"2024-07-18","cited_by_count":5,"area":null},{"id":"2408.01694","title":"Bayesian Active Learning for Semantic Segmentation","created":"2024-08-03","cited_by_count":5,"area":null},{"id":"2104.07216","title":"Learning structure-aware semantic segmentation with image-level supervision","created":"2021-04-15","cited_by_count":4,"area":null},{"id":"2202.07025","title":"Box Supervised Video Segmentation Proposal Network","created":"2022-02-14","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":"2407.10131","title":"WPS-SAM: Towards Weakly-Supervised Part Segmentation with Foundation Models","created":"2024-07-14","cited_by_count":4,"area":null},{"id":"2106.03987","title":"Weakly Supervised Volumetric Image Segmentation with Deformed Templates","created":"2021-06-07","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":"2312.08916","title":"Progressive Feature Self-reinforcement for Weakly Supervised Semantic Segmentation","created":"2023-12-14","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":"2507.06848","title":"Know Your Attention Maps: Class-specific Token Masking for Weakly Supervised Semantic Segmentation","created":"2025-07-09","cited_by_count":3,"area":null},{"id":"2101.00667","title":"Weakly Supervised Multi-Object Tracking and Segmentation","created":"2021-01-03","cited_by_count":2,"area":null},{"id":"2103.05463","title":"Learning Class-Agnostic Pseudo Mask Generation for Box-Supervised Semantic Segmentation","created":"2021-03-09","cited_by_count":2,"area":null},{"id":"2104.13082","title":"Weakly Supervised Volumetric Segmentation via Self-taught Shape Denoising Model","created":"2021-04-27","cited_by_count":2,"area":null},{"id":"2110.05926","title":"Weakly-Supervised Semantic Segmentation by Learning Label Uncertainty","created":"2021-10-12","cited_by_count":2,"area":null},{"id":"2205.03525","title":"Automatic segmentation of meniscus based on MAE self-supervision and point-line weak supervision paradigm","created":"2022-05-07","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":"2401.11738","title":"MetaSeg: Content-Aware Meta-Net for Omni-Supervised Semantic Segmentation","created":"2024-01-22","cited_by_count":2,"area":null},{"id":"2411.01819","title":"Free-Mask: A Novel Paradigm of Integration Between the Segmentation Diffusion Model and Image Editing","created":"2024-11-04","cited_by_count":2,"area":"diffusion"},{"id":"2507.02743","title":"Prompt learning with bounding box constraints for medical image segmentation","created":"2025-07-03","cited_by_count":2,"area":null},{"id":"2108.11727","title":"An Underwater Image Semantic Segmentation Method Focusing on Boundaries and a Real Underwater Scene Semantic Segmentation Dataset","created":"2021-08-26","cited_by_count":1,"area":null},{"id":"2110.10335","title":"Simpler Does It: Generating Semantic Labels with Objectness Guidance","created":"2021-10-20","cited_by_count":1,"area":null},{"id":"2211.10931","title":"Attention-based Class Activation Diffusion for Weakly-Supervised Semantic Segmentation","created":"2022-11-20","cited_by_count":1,"area":null},{"id":"2309.14117","title":"Small Objects Matters in Weakly-supervised Semantic Segmentation","created":"2023-09-25","cited_by_count":1,"area":null},{"id":"2412.16859","title":"Adversarially Domain-adaptive Latent Diffusion for Unsupervised Semantic Segmentation","created":"2024-12-22","cited_by_count":1,"area":"diffusion"},{"id":"2502.01455","title":"Temporal-consistent CAMs for Weakly Supervised Video Segmentation in Waste Sorting","created":"2025-02-03","cited_by_count":1,"area":null},{"id":"2504.21491","title":"ClassWise-CRF: Category-Specific Fusion for Enhanced Semantic Segmentation of Remote Sensing Imagery","created":"2025-04-30","cited_by_count":1,"area":null},{"id":"2508.10256","title":"Deep Learning for Crack Detection: A Review of Learning Paradigms, Generalizability, and Datasets","created":"2025-08-14","cited_by_count":1,"area":null},{"id":"2103.08475","title":"Deep Consensus Learning","created":"2021-03-15","cited_by_count":0,"area":null},{"id":"2108.09433","title":"BoundaryNet: An Attentive Deep Network with Fast Marching Distance Maps for Semi-automatic Layout Annotation","created":"2021-08-21","cited_by_count":0,"area":null},{"id":"2210.02088","title":"WUDA: Unsupervised Domain Adaptation Based on Weak Source Domain Labels","created":"2022-10-05","cited_by_count":0,"area":null},{"id":"2210.12417","title":"SLAMs: Semantic Learning based Activation Map for Weakly Supervised Semantic Segmentation","created":"2022-10-22","cited_by_count":0,"area":null},{"id":"2309.13671","title":"OneSeg: Self-learning and One-shot Learning based Single-slice Annotation for 3D Medical Image Segmentation","created":"2023-09-24","cited_by_count":0,"area":null},{"id":"2405.16628","title":"Competing for pixels: a self-play algorithm for weakly-supervised segmentation","created":"2024-05-26","cited_by_count":0,"area":null},{"id":"2411.17536","title":"Box for Mask and Mask for Box: weak losses for multi-task partially supervised learning","created":"2024-11-26","cited_by_count":0,"area":null},{"id":"2604.11170","title":"Do Instance Priors Help Weakly Supervised Semantic Segmentation?","created":"2026-04-13","cited_by_count":0,"area":null},{"id":"2610.20412","title":"Hybrid supervised instance segmentation by learning label noise suppression","created":"2026-10-14","cited_by_count":0,"area":null}],"next_cursor":null}