{"total":41,"rows":[{"id":"2310.14230","title":"A comprehensive survey on deep active learning in medical image analysis","created":"2023-10-22","cited_by_count":35,"area":null},{"id":"2104.06394","title":"All you need are a few pixels: semantic segmentation with PixelPick","created":"2021-04-13","cited_by_count":31,"area":null},{"id":"2101.09057","title":"DSAL: Deeply Supervised Active Learning from Strong and Weak Labelers for Biomedical Image Segmentation","created":"2021-01-22","cited_by_count":27,"area":null},{"id":"2104.06087","title":"Interpretability-Driven Sample Selection Using Self Supervised Learning For Disease Classification And Segmentation","created":"2021-04-13","cited_by_count":22,"area":null},{"id":"2112.05683","title":"Boosting Active Learning via Improving Test Performance","created":"2021-12-10","cited_by_count":19,"area":null},{"id":"2211.05997","title":"LiDAL: Inter-frame Uncertainty Based Active Learning for 3D LiDAR Semantic Segmentation","created":"2022-11-11","cited_by_count":16,"area":null},{"id":"2205.13340","title":"Deep Active Learning with Noise Stability","created":"2022-05-26","cited_by_count":14,"area":null},{"id":"2309.17342","title":"Towards Free Data Selection with General-Purpose Models","created":"2023-09-29","cited_by_count":10,"area":null},{"id":"2206.11485","title":"Patient Aware Active Learning for Fine-Grained OCT Classification","created":"2022-06-23","cited_by_count":9,"area":null},{"id":"2401.16298","title":"Breaking the Barrier: Selective Uncertainty-based Active Learning for Medical Image Segmentation","created":"2024-01-29","cited_by_count":9,"area":null},{"id":"2205.07021","title":"Self-supervised Assisted Active Learning for Skin Lesion Segmentation","created":"2022-05-14","cited_by_count":7,"area":null},{"id":"2207.00845","title":"Less Is More: A Comparison of Active Learning Strategies for 3D Medical Image Segmentation","created":"2022-07-02","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":"2108.03534","title":"Reducing Annotating Load: Active Learning with Synthetic Images in Surgical Instrument Segmentation","created":"2021-08-07","cited_by_count":6,"area":null},{"id":"2112.05975","title":"CPRAL: Collaborative Panoptic-Regional Active Learning for Semantic Segmentation","created":"2021-12-11","cited_by_count":6,"area":null},{"id":"2112.07963","title":"Towards General and Efficient Active Learning","created":"2021-12-15","cited_by_count":6,"area":null},{"id":"2411.16370","title":"A Review of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentation","created":"2024-11-25","cited_by_count":6,"area":null},{"id":"2302.11075","title":"Deep Active Learning in the Presence of Label Noise: A Survey","created":"2023-02-22","cited_by_count":5,"area":null},{"id":"2305.17520","title":"USIM-DAL: Uncertainty-aware Statistical Image Modeling-based Dense Active Learning for Super-resolution","created":"2023-05-27","cited_by_count":4,"area":null},{"id":"2405.00452","title":"Predictive Accuracy-Based Active Learning for Medical Image Segmentation","created":"2024-05-01","cited_by_count":4,"area":null},{"id":"2301.01531","title":"MoBYv2AL: Self-supervised Active Learning for Image Classification","created":"2023-01-04","cited_by_count":3,"area":null},{"id":"2307.10745","title":"EdgeAL: An Edge Estimation Based Active Learning Approach for OCT Segmentation","created":"2023-07-20","cited_by_count":3,"area":null},{"id":"2409.04952","title":"Deep Bayesian Active Learning-to-Rank with Relative Annotation for Estimation of Ulcerative Colitis Severity","created":"2024-09-08","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":"2202.09002","title":"An Active and Contrastive Learning Framework for Fine-Grained Off-Road Semantic Segmentation","created":"2022-02-18","cited_by_count":2,"area":null},{"id":"2211.10244","title":"Knowing What to Label for Few Shot Microscopy Image Cell Segmentation","created":"2022-11-18","cited_by_count":2,"area":null},{"id":"2307.05587","title":"Active Learning for Video Classification with Frame Level Queries","created":"2023-07-10","cited_by_count":2,"area":null},{"id":"2410.15605","title":"Deep Active Learning with Manifold-preserving Trajectory Sampling","created":"2024-10-21","cited_by_count":2,"area":null},{"id":"2411.05939","title":"GCI-ViTAL: Gradual Confidence Improvement with Vision Transformers for Active Learning on Label Noise","created":"2024-11-08","cited_by_count":2,"area":null},{"id":"2501.19227","title":"Integrating Semi-Supervised and Active Learning for Semantic Segmentation","created":"2025-01-31","cited_by_count":2,"area":null},{"id":"2109.14879","title":"Robust Segmentation Models using an Uncertainty Slice Sampling Based Annotation Workflow","created":"2021-09-30","cited_by_count":1,"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":"2211.11607","title":"Semantic Segmentation for Fully Automated Macrofouling Analysis on Coatings after Field Exposure","created":"2022-11-21","cited_by_count":1,"area":null},{"id":"2309.10513","title":"Uncertainty Estimation in Instance Segmentation with Star-convex Shapes","created":"2023-09-19","cited_by_count":1,"area":null},{"id":"2212.14658","title":"Deep Active Learning Using Barlow Twins","created":"2022-12-30","cited_by_count":0,"area":null},{"id":"2308.14904","title":"Maturity-Aware Active Learning for Semantic Segmentation with Hierarchically-Adaptive Sample Assessment","created":"2023-08-28","cited_by_count":0,"area":null},{"id":"2310.16161","title":"MyriadAL: Active Few Shot Learning for Histopathology","created":"2023-10-24","cited_by_count":0,"area":null},{"id":"2401.17086","title":"Active Generation Network of Human Skeleton for Action Recognition","created":"2024-01-30","cited_by_count":0,"area":null},{"id":"2403.15143","title":"Modular Deep Active Learning Framework for Image Annotation: A Technical Report for the Ophthalmo-AI Project","created":"2024-03-22","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":"2610.17808","title":"SPARCL: Spatially Adaptive Regional Coverage for Active Learning in Chest X-ray Analysis","created":"2026-10-13","cited_by_count":0,"area":null}],"next_cursor":null}