{"total":90,"rows":[{"id":"2408.00714","title":"SAM 2: Segment Anything in Images and Videos","created":"2024-08-01","cited_by_count":2863,"area":null},{"id":"2207.07115","title":"XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model","created":"2022-07-14","cited_by_count":439,"area":null},{"id":"2106.05210","title":"Rethinking Space-Time Networks with Improved Memory Coverage for Efficient Video Object Segmentation","created":"2021-06-09","cited_by_count":203,"area":null},{"id":"2310.12982","title":"Putting the Object Back into Video Object Segmentation","created":"2023-10-19","cited_by_count":188,"area":null},{"id":"2104.07658","title":"Self-supervised Video Object Segmentation by Motion Grouping","created":"2021-04-15","cited_by_count":147,"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":"2101.08833","title":"SSTVOS: Sparse Spatiotemporal Transformers for Video Object Segmentation","created":"2021-01-21","cited_by_count":106,"area":null},{"id":"2207.07078","title":"Towards Grand Unification of Object Tracking","created":"2022-07-14","cited_by_count":93,"area":null},{"id":"2410.16268","title":"SAM2Long: Enhancing SAM 2 for Long Video Segmentation with a Training-Free Memory Tree","created":"2024-10-21","cited_by_count":80,"area":null},{"id":"2211.10181","title":"LVOS: A Benchmark for Long-term Video Object Segmentation","created":"2022-11-18","cited_by_count":77,"area":null},{"id":"2109.11404","title":"Hierarchical Memory Matching Network for Video Object Segmentation","created":"2021-09-23","cited_by_count":72,"area":null},{"id":"2102.04604","title":"SwiftNet: Real-time Video Object Segmentation","created":"2021-02-09","cited_by_count":67,"area":null},{"id":"2104.04329","title":"Learning Position and Target Consistency for Memory-based Video Object Segmentation","created":"2021-04-09","cited_by_count":63,"area":null},{"id":"2207.02206","title":"Segmenting Moving Objects via an Object-Centric Layered Representation","created":"2022-07-05","cited_by_count":63,"area":null},{"id":"2108.03679","title":"Joint Inductive and Transductive Learning for Video Object Segmentation","created":"2021-08-08","cited_by_count":61,"area":null},{"id":"2205.03761","title":"Recurrent Dynamic Embedding for Video Object Segmentation","created":"2022-05-08","cited_by_count":52,"area":null},{"id":"2310.06907","title":"Self-supervised Object-Centric Learning for Videos","created":"2023-10-10","cited_by_count":49,"area":null},{"id":"2404.19326","title":"LVOS: A Benchmark for Large-scale Long-term Video Object Segmentation","created":"2024-04-30","cited_by_count":44,"area":null},{"id":"2102.02696","title":"Active Boundary Loss for Semantic Segmentation","created":"2021-02-04","cited_by_count":40,"area":null},{"id":"2208.01924","title":"Per-Clip Video Object Segmentation","created":"2022-08-03","cited_by_count":40,"area":null},{"id":"2203.11191","title":"Robust Visual Tracking by Segmentation","created":"2022-03-21","cited_by_count":38,"area":null},{"id":"2203.14333","title":"Locality-Aware Inter-and Intra-Video Reconstruction for Self-Supervised Correspondence Learning","created":"2022-03-27","cited_by_count":26,"area":null},{"id":"2208.10128","title":"SWEM: Towards Real-Time Video Object Segmentation with Sequential Weighted Expectation-Maximization","created":"2022-08-22","cited_by_count":26,"area":null},{"id":"2210.05567","title":"Global Spectral Filter Memory Network for Video Object Segmentation","created":"2022-10-11","cited_by_count":22,"area":null},{"id":"2304.00571","title":"DropMAE: Learning Representations via Masked Autoencoders with Spatial-Attention Dropout for Temporal Matching Tasks","created":"2023-04-02","cited_by_count":22,"area":null},{"id":"2403.11694","title":"Object Segmentation-Assisted Inter Prediction for Versatile Video Coding","created":"2024-03-18","cited_by_count":22,"area":null},{"id":"2406.08476","title":"RMem: Restricted Memory Banks Improve Video Object Segmentation","created":"2024-06-12","cited_by_count":22,"area":null},{"id":"2104.10386","title":"Guided Interactive Video Object Segmentation Using Reliability-Based Attention Maps","created":"2021-04-21","cited_by_count":21,"area":null},{"id":"2112.09131","title":"HODOR: High-level Object Descriptors for Object Re-segmentation in Video Learned from Static Images","created":"2021-12-16","cited_by_count":21,"area":null},{"id":"2304.06211","title":"Boosting Video Object Segmentation via Space-time Correspondence Learning","created":"2023-04-13","cited_by_count":21,"area":null},{"id":"2501.07256","title":"EdgeTAM: On-Device Track Anything Model","created":"2025-01-13","cited_by_count":21,"area":null},{"id":"2207.10258","title":"Region Aware Video Object Segmentation with Deep Motion Modeling","created":"2022-07-21","cited_by_count":19,"area":null},{"id":"2303.12079","title":"OmniTracker: Unifying Object Tracking by Tracking-with-Detection","created":"2023-03-21","cited_by_count":19,"area":null},{"id":"2311.04414","title":"Learning the What and How of Annotation in Video Object Segmentation","created":"2023-11-08","cited_by_count":19,"area":null},{"id":"2309.12303","title":"PanoVOS: Bridging Non-panoramic and Panoramic Views with Transformer for Video Segmentation","created":"2023-09-21","cited_by_count":18,"area":null},{"id":"2109.13499","title":"Modelling Neighbor Relation in Joint Space-Time Graph for Video Correspondence Learning","created":"2021-09-28","cited_by_count":16,"area":null},{"id":"2303.10100","title":"Unified Mask Embedding and Correspondence Learning for Self-Supervised Video Segmentation","created":"2023-03-17","cited_by_count":16,"area":null},{"id":"2209.09341","title":"A Simple and Powerful Global Optimization for Unsupervised Video Object Segmentation","created":"2022-09-19","cited_by_count":15,"area":null},{"id":"2210.00221","title":"Motion-inductive Self-supervised Object Discovery in Videos","created":"2022-10-01","cited_by_count":14,"area":null},{"id":"2403.19407","title":"Temporally Consistent Referring Video Object Segmentation with Hybrid Memory","created":"2024-03-28","cited_by_count":14,"area":null},{"id":"2207.02088","title":"SiamMask: A Framework for Fast Online Object Tracking and Segmentation","created":"2022-07-05","cited_by_count":13,"area":null},{"id":"2209.07778","title":"Spatial-then-Temporal Self-Supervised Learning for Video Correspondence","created":"2022-09-16","cited_by_count":13,"area":null},{"id":"2107.12569","title":"Self-Supervised Video Object Segmentation by Motion-Aware Mask Propagation","created":"2021-07-27","cited_by_count":11,"area":null},{"id":"2110.01644","title":"Pixel-Level Bijective Matching for Video Object Segmentation","created":"2021-10-04","cited_by_count":11,"area":null},{"id":"2107.12192","title":"Accelerating Video Object Segmentation with Compressed Video","created":"2021-07-26","cited_by_count":10,"area":null},{"id":"2311.17893","title":"Betrayed by Attention: A Simple yet Effective Approach for Self-supervised Video Object Segmentation","created":"2023-11-29","cited_by_count":10,"area":null},{"id":"2404.06860","title":"Monocular 3D lane detection for Autonomous Driving: Recent Achievements, Challenges, and Outlooks","created":"2024-04-10","cited_by_count":9,"area":null},{"id":"2101.02196","title":"Generating Masks from Boxes by Mining Spatio-Temporal Consistencies in Videos","created":"2021-01-06","cited_by_count":8,"area":null},{"id":"2202.14000","title":"Resolving label uncertainty with implicit posterior models","created":"2022-02-28","cited_by_count":8,"area":null},{"id":"2506.01304","title":"SAM-I2V: Upgrading SAM to Support Promptable Video Segmentation with Less than 0.2% Training Cost","created":"2025-06-02","cited_by_count":8,"area":null},{"id":"2111.14646","title":"MUNet: Motion Uncertainty-aware Semi-supervised Video Object Segmentation","created":"2021-11-29","cited_by_count":7,"area":null},{"id":"2303.12078","title":"Two-shot Video Object Segmentation","created":"2023-03-21","cited_by_count":7,"area":null},{"id":"2409.19342","title":"X-Prompt: Multi-modal Visual Prompt for Video Object Segmentation","created":"2024-09-28","cited_by_count":7,"area":null},{"id":"2411.02818","title":"LiVOS: Light Video Object Segmentation with Gated Linear Matching","created":"2024-11-05","cited_by_count":7,"area":null},{"id":"2403.08682","title":"OneVOS: Unifying Video Object Segmentation with All-in-One Transformer Framework","created":"2024-03-13","cited_by_count":6,"area":null},{"id":"2308.13266","title":"Integrating Boxes and Masks: A Multi-Object Framework for Unified Visual Tracking and Segmentation","created":"2023-08-25","cited_by_count":5,"area":null},{"id":"2402.05917","title":"Point-VOS: Pointing Up Video Object Segmentation","created":"2024-02-08","cited_by_count":5,"area":null},{"id":"2202.07025","title":"Box Supervised Video Segmentation Proposal Network","created":"2022-02-14","cited_by_count":4,"area":null},{"id":"2308.03040","title":"Learning Fine-Grained Features for Pixel-wise Video Correspondences","created":"2023-08-06","cited_by_count":4,"area":null},{"id":"2408.00169","title":"Strike the Balance: On-the-Fly Uncertainty based User Interactions for Long-Term Video Object Segmentation","created":"2024-07-31","cited_by_count":4,"area":null},{"id":"2601.08831","title":"3AM: 3egment Anything with Geometric Consistency in Videos","created":"2026-01-13","cited_by_count":4,"area":null},{"id":"2111.10531","title":"FAMINet: Learning Real-time Semi-supervised Video Object Segmentation with Steepest Optimized Optical Flow","created":"2021-11-20","cited_by_count":3,"area":null},{"id":"2208.02305","title":"Unsupervised Flow Refinement near Motion Boundaries","created":"2022-08-03","cited_by_count":3,"area":null},{"id":"2302.14362","title":"One-Shot Video Inpainting","created":"2023-02-28","cited_by_count":3,"area":null},{"id":"2403.17937","title":"Efficient Video Object Segmentation via Modulated Cross-Attention Memory","created":"2024-03-26","cited_by_count":3,"area":null},{"id":"2511.04678","title":"Tracking and Understanding Object Transformations","created":"2025-11-06","cited_by_count":3,"area":null},{"id":"2310.15115","title":"SpVOS: Efficient Video Object Segmentation with Triple Sparse Convolution","created":"2023-10-23","cited_by_count":2,"area":null},{"id":"2107.04279","title":"Fast Pixel-Matching for Video Object Segmentation","created":"2021-07-09","cited_by_count":1,"area":null},{"id":"2109.06474","title":"Space Time Recurrent Memory Network","created":"2021-09-14","cited_by_count":1,"area":null},{"id":"2110.14773","title":"SiamPolar: Semi-supervised Realtime Video Object Segmentation with Polar Representation","created":"2021-10-27","cited_by_count":1,"area":null},{"id":"2111.14160","title":"Learning To Segment Dominant Object Motion From Watching Videos","created":"2021-11-28","cited_by_count":1,"area":null},{"id":"2208.10662","title":"How to Track and Segment Fish without Human Annotations: A Self-Supervised Deep Learning Approach","created":"2022-08-23","cited_by_count":1,"area":null},{"id":"2305.12823","title":"READMem: Robust Embedding Association for a Diverse Memory in Unconstrained Video Object Segmentation","created":"2023-05-22","cited_by_count":1,"area":null},{"id":"2511.22950","title":"RobotSeg: A Model and Dataset for Segmenting Robots in Image and Video","created":"2025-11-28","cited_by_count":1,"area":null},{"id":"2601.00988","title":"Few-Shot Video Object Segmentation in X-Ray Angiography Using Local Matching and Spatio-Temporal Consistency Loss","created":"2026-01-02","cited_by_count":1,"area":null},{"id":"2204.06626","title":"Adaptive Memory Management for Video Object Segmentation","created":"2022-04-13","cited_by_count":0,"area":null},{"id":"2204.10846","title":"Self-Supervised Video Object Segmentation via Cutout Prediction and Tagging","created":"2022-04-22","cited_by_count":0,"area":null},{"id":"2205.01197","title":"Boosting Video Object Segmentation based on Scale Inconsistency","created":"2022-05-02","cited_by_count":0,"area":null},{"id":"2206.00182","title":"Differentiable Soft-Masked Attention","created":"2022-06-01","cited_by_count":0,"area":null},{"id":"2208.04026","title":"Two-Stream Networks for Object Segmentation in Videos","created":"2022-08-08","cited_by_count":0,"area":null},{"id":"2209.03139","title":"Pixel-Level Equalized Matching for Video Object Segmentation","created":"2022-09-04","cited_by_count":0,"area":null},{"id":"2210.16795","title":"Two-Level Temporal Relation Model for Online Video Instance Segmentation","created":"2022-10-30","cited_by_count":0,"area":null},{"id":"2212.08058","title":"Learning a Fast 3D Spectral Approach to Object Segmentation and Tracking over Space and Time","created":"2022-12-15","cited_by_count":0,"area":null},{"id":"2404.13505","title":"Dynamic in Static: Hybrid Visual Correspondence for Self-Supervised Video Object Segmentation","created":"2024-04-21","cited_by_count":0,"area":null},{"id":"2405.14010","title":"One-shot Training for Video Object Segmentation","created":"2024-05-22","cited_by_count":0,"area":null},{"id":"2406.05131","title":"A Semi-Self-Supervised Approach for Dense-Pattern Video Object Segmentation","created":"2024-06-07","cited_by_count":0,"area":null},{"id":"2503.12026","title":"Leveraging Motion Information for Better Self-Supervised Video Correspondence Learning","created":"2025-03-15","cited_by_count":0,"area":null},{"id":"2603.17813","title":"M2P: Improving Visual Foundation Models with Mask-to-Point Weakly-Supervised Learning for Dense Point Tracking","created":"2026-03-18","cited_by_count":0,"area":null},{"id":"2607.07230","title":"`Attention-Guided Cross-Temporal Clustering for Self-Supervised Video Object Segmentation","created":"2026-07-08","cited_by_count":0,"area":null},{"id":"2607.19743","title":"Efficient Tracking and Understanding Object Transformations","created":"2026-07-22","cited_by_count":0,"area":null}],"next_cursor":null}