{"total":47,"rows":[{"id":"2108.09331","title":"Influence Selection for Active Learning","created":"2021-08-20","cited_by_count":84,"area":null},{"id":"2103.16130","title":"Active Learning for Deep Object Detection via Probabilistic Modeling","created":"2021-03-30","cited_by_count":79,"area":null},{"id":"2204.07965","title":"Entropy-based Active Learning for Object Detection with Progressive Diversity Constraint","created":"2022-04-17","cited_by_count":53,"area":null},{"id":"2104.14235","title":"Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety","created":"2021-04-29","cited_by_count":35,"area":null},{"id":"2103.10374","title":"Consistency-based Active Learning for Object Detection","created":"2021-03-18","cited_by_count":32,"area":null},{"id":"2108.08012","title":"Multi-Anchor Active Domain Adaptation for Semantic Segmentation","created":"2021-08-18","cited_by_count":29,"area":null},{"id":"2106.11921","title":"Not All Labels Are Equal: Rationalizing The Labeling Costs for Training Object Detection","created":"2021-06-22","cited_by_count":27,"area":null},{"id":"2112.00166","title":"TALISMAN: Targeted Active Learning for Object Detection with Rare Classes and Slices using Submodular Mutual Information","created":"2021-11-30","cited_by_count":27,"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":"2207.12112","title":"Active Learning Strategies for Weakly-supervised Object Detection","created":"2022-07-25","cited_by_count":17,"area":null},{"id":"2203.10730","title":"Semantic Segmentation with Active Semi-Supervised Learning","created":"2022-03-21","cited_by_count":16,"area":null},{"id":"2205.07708","title":"Exploring Diversity-based Active Learning for 3D Object Detection in Autonomous Driving","created":"2022-05-16","cited_by_count":16,"area":null},{"id":"2207.11493","title":"Active Pointly-Supervised Instance Segmentation","created":"2022-07-23","cited_by_count":15,"area":null},{"id":"2303.13089","title":"Box-Level Active Detection","created":"2023-03-23","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":"2306.12398","title":"Multi-Task Consistency for Active Learning","created":"2023-06-21","cited_by_count":9,"area":null},{"id":"2109.11547","title":"Bayesian Active Learning for Sim-to-Real Robotic Perception","created":"2021-09-23","cited_by_count":8,"area":null},{"id":"2309.07914","title":"ALWOD: Active Learning for Weakly-Supervised Object Detection","created":"2023-09-14","cited_by_count":8,"area":null},{"id":"2207.13339","title":"ALBench: A Framework for Evaluating Active Learning in Object Detection","created":"2022-07-27","cited_by_count":7,"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":"2409.13860","title":"SSE: Multimodal Semantic Data Selection and Enrichment for Industrial-scale Data Assimilation","created":"2024-09-20","cited_by_count":7,"area":null},{"id":"2106.10836","title":"Active Learning for Deep Neural Networks on Edge Devices","created":"2021-06-21","cited_by_count":6,"area":null},{"id":"2301.07354","title":"MADAv2: Advanced Multi-Anchor Based Active Domain Adaptation Segmentation","created":"2023-01-18","cited_by_count":5,"area":null},{"id":"2104.02973","title":"Active learning using weakly supervised signals for quality inspection","created":"2021-04-07","cited_by_count":4,"area":null},{"id":"2307.08414","title":"Active Learning for Object Detection with Non-Redundant Informative Sampling","created":"2023-07-17","cited_by_count":4,"area":null},{"id":"2212.02804","title":"MUS-CDB: Mixed Uncertainty Sampling with Class Distribution Balancing for Active Annotation in Aerial Object Detection","created":"2022-12-06","cited_by_count":3,"area":null},{"id":"2508.19906","title":"Streamlining the Development of Active Learning Methods in Real-World Object Detection","created":"2025-08-27","cited_by_count":3,"area":null},{"id":"2108.09186","title":"Region-level Active Detector Learning","created":"2021-08-20","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":"2208.08220","title":"Towards an Error-free Deep Occupancy Detector for Smart Camera Parking System","created":"2022-08-17","cited_by_count":1,"area":null},{"id":"2308.08476","title":"Classification Committee for Active Deep Object Detection","created":"2023-08-16","cited_by_count":1,"area":null},{"id":"2309.16139","title":"Two-Step Active Learning for Instance Segmentation with Uncertainty and Diversity Sampling","created":"2023-09-28","cited_by_count":1,"area":null},{"id":"2403.14800","title":"Deep Active Learning: A Reality Check","created":"2024-03-21","cited_by_count":1,"area":null},{"id":"2409.05425","title":"Distribution Discrepancy and Feature Heterogeneity for Active 3D Object Detection","created":"2024-09-09","cited_by_count":1,"area":null},{"id":"2409.18561","title":"AL-GTD: Deep Active Learning for Gaze Target Detection","created":"2024-09-27","cited_by_count":1,"area":null},{"id":"2410.03918","title":"STONE: A Submodular Optimization Framework for Active 3D Object Detection","created":"2024-10-04","cited_by_count":1,"area":null},{"id":"2505.00511","title":"Inconsistency-based Active Learning for LiDAR Object Detection","created":"2025-05-01","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":"2603.10828","title":"BALD-SAM: Disagreement-based Active Prompting in Interactive Segmentation","created":"2026-03-11","cited_by_count":1,"area":null},{"id":"2303.12760","title":"Uncertainty Aware Active Learning for Reconfiguration of Pre-trained Deep Object-Detection Networks for New Target Domains","created":"2023-03-22","cited_by_count":0,"area":null},{"id":"2303.16637","title":"MuRAL: Multi-Scale Region-based Active Learning for Object Detection","created":"2023-03-29","cited_by_count":0,"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":"2505.00507","title":"HeAL3D: Heuristical-enhanced Active Learning for 3D Object Detection","created":"2025-05-01","cited_by_count":0,"area":null},{"id":"2602.05250","title":"Active Label Cleaning for Reliable Detection of Electron Dense Deposits in Transmission Electron Microscopy Images","created":"2026-02-05","cited_by_count":0,"area":null},{"id":"2605.12303","title":"From Model Uncertainty to Human Attention: Localization-Aware Visual Cues for Scalable Annotation Review","created":"2026-05-12","cited_by_count":0,"area":null},{"id":"2608.17224","title":"Probing Association Instability with Track-State Perturbations for Clip-Level Active Learning in Query-Propagation Multi-Object Tracking","created":"2026-08-18","cited_by_count":0,"area":null},{"id":"2609.20248","title":"Distance to Class Prototypes: Active Learning for Object Detection","created":"2026-07-28","cited_by_count":0,"area":null}],"next_cursor":null}