{"total":35,"rows":[{"id":"2112.01071","title":"Extract Free Dense Labels from CLIP","created":"2021-12-02","cited_by_count":583,"area":null},{"id":"2105.00097","title":"Self-supervised Augmentation Consistency for Adapting Semantic Segmentation","created":"2021-04-30","cited_by_count":149,"area":null},{"id":"2107.01153","title":"A Survey on Deep Learning Technique for Video Segmentation","created":"2021-07-02","cited_by_count":132,"area":null},{"id":"2104.07256","title":"A Simple Baseline for Semi-supervised Semantic Segmentation with Strong Data Augmentation","created":"2021-04-15","cited_by_count":79,"area":null},{"id":"2107.11279","title":"Re-distributing Biased Pseudo Labels for Semi-supervised Semantic Segmentation: A Baseline Investigation","created":"2021-07-23","cited_by_count":78,"area":null},{"id":"2101.11796","title":"DOC2PPT: Automatic Presentation Slides Generation from Scientific Documents","created":"2021-01-28","cited_by_count":70,"area":null},{"id":"2204.02078","title":"Semi-supervised Semantic Segmentation with Error Localization Network","created":"2022-04-05","cited_by_count":57,"area":null},{"id":"2207.05027","title":"Unsupervised Semantic Segmentation with Self-supervised Object-centric Representations","created":"2022-07-11","cited_by_count":54,"area":null},{"id":"2103.01306","title":"Scalable Scene Flow from Point Clouds in the Real World","created":"2021-03-01","cited_by_count":50,"area":null},{"id":"2104.05239","title":"Look Closer to Segment Better: Boundary Patch Refinement for Instance Segmentation","created":"2021-04-12","cited_by_count":43,"area":null},{"id":"2112.02582","title":"PolyphonicFormer: Unified Query Learning for Depth-aware Video Panoptic Segmentation","created":"2021-12-05","cited_by_count":36,"area":null},{"id":"2103.02093","title":"Pseudo-labeling for Scalable 3D Object Detection","created":"2021-03-02","cited_by_count":32,"area":null},{"id":"2110.12369","title":"AuxAdapt: Stable and Efficient Test-Time Adaptation for Temporally Consistent Video Semantic Segmentation","created":"2021-10-24","cited_by_count":31,"area":null},{"id":"2111.14562","title":"Instance-wise Occlusion and Depth Orders in Natural Scenes","created":"2021-11-29","cited_by_count":31,"area":null},{"id":"2207.14012","title":"Video Mask Transfiner for High-Quality Video Instance Segmentation","created":"2022-07-28","cited_by_count":28,"area":null},{"id":"2203.14448","title":"Decoupled Multi-task Learning with Cyclical Self-Regulation for Face Parsing","created":"2022-03-28","cited_by_count":26,"area":null},{"id":"2112.05006","title":"Exploring Event-driven Dynamic Context for Accident Scene Segmentation","created":"2021-12-09","cited_by_count":23,"area":null},{"id":"2107.11004","title":"Domain Adaptive Video Segmentation via Temporal Consistency Regularization","created":"2021-07-23","cited_by_count":21,"area":null},{"id":"2110.08589","title":"Pseudo-label refinement using superpixels for semi-supervised brain tumour segmentation","created":"2021-10-16","cited_by_count":16,"area":null},{"id":"2104.03658","title":"DSC-PoseNet: Learning 6DoF Object Pose Estimation via Dual-scale Consistency","created":"2021-04-08","cited_by_count":14,"area":null},{"id":"2206.00468","title":"PanopticDepth: A Unified Framework for Depth-aware Panoptic Segmentation","created":"2022-06-01","cited_by_count":14,"area":null},{"id":"2106.00609","title":"Robust Mutual Learning for Semi-supervised Semantic Segmentation","created":"2021-06-01","cited_by_count":13,"area":null},{"id":"2207.04044","title":"kMaX-DeepLab: k-means Mask Transformer","created":"2022-07-08","cited_by_count":12,"area":null},{"id":"2207.02372","title":"Domain Adaptive Video Segmentation via Temporal Pseudo Supervision","created":"2022-07-06","cited_by_count":11,"area":null},{"id":"2212.07911","title":"Urban Scene Semantic Segmentation with Low-Cost Coarse Annotation","created":"2022-12-15","cited_by_count":11,"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":"2210.07577","title":"MonoDVPS: A Self-Supervised Monocular Depth Estimation Approach to Depth-aware Video Panoptic Segmentation","created":"2022-10-14","cited_by_count":7,"area":null},{"id":"2210.13428","title":"PseudoAugment: Learning to Use Unlabeled Data for Data Augmentation in Point Clouds","created":"2022-10-24","cited_by_count":7,"area":null},{"id":"2101.10156","title":"Mask-based Data Augmentation for Semi-supervised Semantic Segmentation","created":"2021-01-25","cited_by_count":6,"area":null},{"id":"2102.01586","title":"U-LanD: Uncertainty-Driven Video Landmark Detection","created":"2021-02-02","cited_by_count":6,"area":null},{"id":"2106.07075","title":"Revisiting consistency for semi-supervised semantic segmentation","created":"2021-06-13","cited_by_count":4,"area":null},{"id":"2110.10639","title":"Semi-supervised Domain Adaptation for Semantic Segmentation","created":"2021-10-20","cited_by_count":4,"area":null},{"id":"2210.03546","title":"Time-Space Transformers for Video Panoptic Segmentation","created":"2022-10-07","cited_by_count":2,"area":null},{"id":"2203.12683","title":"Revisiting Multi-Scale Feature Fusion for Semantic Segmentation","created":"2022-03-23","cited_by_count":1,"area":null},{"id":"2208.06303","title":"Triple-View Feature Learning for Medical Image Segmentation","created":"2022-08-12","cited_by_count":1,"area":null}],"next_cursor":null}