{"total":19,"rows":[{"id":"2108.09331","title":"Influence Selection for Active Learning","created":"2021-08-20","cited_by_count":84,"area":null},{"id":"2104.02324","title":"Multiple instance active learning for object detection","created":"2021-04-06","cited_by_count":77,"area":null},{"id":"2211.11612","title":"Plug and Play Active Learning for Object Detection","created":"2022-11-21","cited_by_count":28,"area":null},{"id":"2301.09249","title":"Exploring Active 3D Object Detection from a Generalization Perspective","created":"2023-01-23","cited_by_count":26,"area":null},{"id":"2112.05683","title":"Boosting Active Learning via Improving Test Performance","created":"2021-12-10","cited_by_count":19,"area":null},{"id":"2205.13340","title":"Deep Active Learning with Noise Stability","created":"2022-05-26","cited_by_count":14,"area":null},{"id":"2112.11573","title":"Anomaly Clustering: Grouping Images into Coherent Clusters of Anomaly Types","created":"2021-12-21","cited_by_count":13,"area":null},{"id":"2307.07942","title":"KECOR: Kernel Coding Rate Maximization for Active 3D Object Detection","created":"2023-07-16","cited_by_count":13,"area":null},{"id":"2110.02277","title":"Scaling up instance annotation via label propagation","created":"2021-10-05","cited_by_count":9,"area":null},{"id":"2211.14819","title":"Deep Active Learning for Computer Vision: Past and Future","created":"2022-11-27","cited_by_count":7,"area":null},{"id":"2405.18078","title":"Edge-guided and Class-balanced Active Learning for Semantic Segmentation of Aerial Images","created":"2024-05-28","cited_by_count":4,"area":null},{"id":"2102.12040","title":"Active Learning to Classify Macromolecular Structures in situ for Less Supervision in Cryo-Electron Tomography","created":"2021-02-24","cited_by_count":2,"area":null},{"id":"2312.16931","title":"DeLR: Active Learning for Detection with Decoupled Localization and Recognition Query","created":"2023-12-28","cited_by_count":2,"area":null},{"id":"2301.02761","title":"Active Learning Guided by Efficient Surrogate Learners","created":"2023-01-07","cited_by_count":1,"area":null},{"id":"2509.20003","title":"Table Detection with Active Learning","created":"2025-09-24","cited_by_count":1,"area":null},{"id":"2310.10391","title":"Open-CRB: Towards Open World Active Learning for 3D Object Detection","created":"2023-10-16","cited_by_count":0,"area":null},{"id":"2509.15805","title":"Boosting Active Learning with Knowledge Transfer","created":"2025-09-19","cited_by_count":0,"area":null},{"id":"2601.01695","title":"Learnability-Driven Submodular Optimization for Active Roadside 3D Detection","created":"2026-01-04","cited_by_count":0,"area":null},{"id":"2605.18623","title":"An Approximation Algorithm for Graph Label Selection","created":"2026-05-18","cited_by_count":0,"area":null}],"next_cursor":null}