{"total":14,"rows":[{"id":"2302.01872","title":"MOSE: A New Dataset for Video Object Segmentation in Complex Scenes","created":"2023-02-03","cited_by_count":234,"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":"2108.03151","title":"Full-Duplex Strategy for Video Object Segmentation","created":"2021-08-06","cited_by_count":78,"area":null},{"id":"2311.10091","title":"Adaptive Shells for Efficient Neural Radiance Field Rendering","created":"2023-11-16","cited_by_count":69,"area":null},{"id":"2508.05630","title":"MOSEv2: A More Challenging Dataset for Video Object Segmentation in Complex Scenes","created":"2025-08-07","cited_by_count":62,"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":"2101.06545","title":"VideoClick: Video Object Segmentation with a Single Click","created":"2021-01-16","cited_by_count":8,"area":null},{"id":"2109.03784","title":"A Survey on Machine Learning Techniques for Auto Labeling of Video, Audio, and Text Data","created":"2021-09-08","cited_by_count":6,"area":null},{"id":"2108.03821","title":"Video Annotation for Visual Tracking via Selection and Refinement","created":"2021-08-09","cited_by_count":5,"area":null},{"id":"2203.01784","title":"Revisiting Click-based Interactive Video Object Segmentation","created":"2022-03-03","cited_by_count":5,"area":null},{"id":"2205.11563","title":"Accelerating the creation of instance segmentation training sets through bounding box annotation","created":"2022-05-23","cited_by_count":1,"area":null},{"id":"2403.06130","title":"ClickVOS: Click Video Object Segmentation","created":"2024-03-10","cited_by_count":1,"area":null},{"id":"2311.02734","title":"ISAR: A Benchmark for Single- and Few-Shot Object Instance Segmentation and Re-Identification","created":"2023-11-05","cited_by_count":0,"area":null},{"id":"2405.03643","title":"Collecting Consistently High Quality Object Tracks with Minimal Human Involvement by Using Self-Supervised Learning to Detect Tracker Errors","created":"2024-05-06","cited_by_count":0,"area":null}],"next_cursor":null}