{"total":25,"rows":[{"id":"2108.12995","title":"Pseudo-mask Matters in Weakly-supervised Semantic Segmentation","created":"2021-08-30","cited_by_count":48,"area":null},{"id":"2212.06826","title":"Look Before You Match: Instance Understanding Matters in Video Object Segmentation","created":"2022-12-13","cited_by_count":34,"area":null},{"id":"2301.12276","title":"ProtoSeg: Interpretable Semantic Segmentation with Prototypical Parts","created":"2023-01-28","cited_by_count":33,"area":null},{"id":"2302.06378","title":"Semantic Image Segmentation: Two Decades of Research","created":"2023-02-13","cited_by_count":27,"area":null},{"id":"2203.16195","title":"On the Road to Online Adaptation for Semantic Image Segmentation","created":"2022-03-30","cited_by_count":23,"area":null},{"id":"2503.19777","title":"LPOSS: Label Propagation Over Patches and Pixels for Open-vocabulary Semantic Segmentation","created":"2025-03-25","cited_by_count":21,"area":null},{"id":"2112.03241","title":"Unsupervised Domain Adaptation for Semantic Image Segmentation: a Comprehensive Survey","created":"2021-12-06","cited_by_count":19,"area":null},{"id":"2110.14759","title":"Regularized Frank-Wolfe for Dense CRFs: Generalizing Mean Field and Beyond","created":"2021-10-27","cited_by_count":10,"area":null},{"id":"2208.14241","title":"Boosting Night-time Scene Parsing with Learnable Frequency","created":"2022-08-30","cited_by_count":9,"area":null},{"id":"2203.15485","title":"Learning Structured Gaussians to Approximate Deep Ensembles","created":"2022-03-29","cited_by_count":8,"area":null},{"id":"2209.08667","title":"Semantic Segmentation using Neural Ordinary Differential Equations","created":"2022-09-18","cited_by_count":6,"area":null},{"id":"2212.01581","title":"Modeling Label Correlations for Ultra-Fine Entity Typing with Neural Pairwise Conditional Random Field","created":"2022-12-03","cited_by_count":4,"area":null},{"id":"2404.13311","title":"STAT: Towards Generalizable Temporal Action Localization","created":"2024-04-20","cited_by_count":4,"area":null},{"id":"2405.08715","title":"DeVOS: Flow-Guided Deformable Transformer for Video Object Segmentation","created":"2024-05-11","cited_by_count":3,"area":null},{"id":"2402.18495","title":"ROG$_{PL}$: Robust Open-Set Graph Learning via Region-Based Prototype Learning","created":"2024-02-28","cited_by_count":2,"area":null},{"id":"2109.05353","title":"Border-SegGCN: Improving Semantic Segmentation by Refining the Border Outline using Graph Convolutional Network","created":"2021-09-11","cited_by_count":1,"area":null},{"id":"2110.14200","title":"Denoised Non-Local Neural Network for Semantic Segmentation","created":"2021-10-27","cited_by_count":1,"area":null},{"id":"2402.05398","title":"On the Effect of Image Resolution on Semantic Segmentation","created":"2024-02-08","cited_by_count":1,"area":null},{"id":"2405.07031","title":"Global Motion Understanding in Large-Scale Video Object Segmentation","created":"2024-05-11","cited_by_count":1,"area":null},{"id":"2103.04990","title":"Use square root affinity to regress labels in semantic segmentation","created":"2021-03-07","cited_by_count":0,"area":null},{"id":"2402.04618","title":"Multi-Scale Semantic Segmentation with Modified MBConv Blocks","created":"2024-02-07","cited_by_count":0,"area":null},{"id":"2402.06091","title":"Early Fusion of Features for Semantic Segmentation","created":"2024-02-08","cited_by_count":0,"area":null},{"id":"2403.02681","title":"SGD with Partial Hessian for Deep Neural Networks Optimization","created":"2024-03-05","cited_by_count":0,"area":null},{"id":"2403.15194","title":"Your Image is My Video: Reshaping the Receptive Field via Image-To-Video Differentiable AutoAugmentation and Fusion","created":"2024-03-22","cited_by_count":0,"area":null},{"id":"2609.33996","title":"UnfoldCRF: Structured Mask Refinement with Image-Conditioned Latent Regions","created":"2026-09-27","cited_by_count":0,"area":null}],"next_cursor":null}