{"total":16,"rows":[{"id":"2203.04181","title":"Selective-Supervised Contrastive Learning with Noisy Labels","created":"2022-03-08","cited_by_count":112,"area":null},{"id":"2201.00471","title":"Revisiting Open World Object Detection","created":"2022-01-03","cited_by_count":30,"area":null},{"id":"2205.15445","title":"Continual Object Detection: A review of definitions, strategies, and challenges","created":"2022-05-30","cited_by_count":25,"area":null},{"id":"2307.08249","title":"Random Boxes Are Open-world Object Detectors","created":"2023-07-17","cited_by_count":24,"area":null},{"id":"2303.13769","title":"Unknown Sniffer for Object Detection: Don't Turn a Blind Eye to Unknown Objects","created":"2023-03-24","cited_by_count":23,"area":null},{"id":"2503.14963","title":"Continual Multimodal Contrastive Learning","created":"2025-03-19","cited_by_count":20,"area":null},{"id":"2402.08960","title":"Open-Vocabulary Segmentation with Unpaired Mask-Text Supervision","created":"2024-02-14","cited_by_count":12,"area":null},{"id":"2308.04206","title":"Exploring Transformers for Open-world Instance Segmentation","created":"2023-08-08","cited_by_count":5,"area":null},{"id":"2306.07036","title":"Making Binary Classification from Multiple Unlabeled Datasets Almost Free of Supervision","created":"2023-06-12","cited_by_count":4,"area":null},{"id":"2510.00303","title":"Looking Beyond the Known: Towards a Data Discovery Guided Open-World Object Detection","created":"2025-09-30","cited_by_count":4,"area":null},{"id":"2412.09229","title":"UADet: A Remarkably Simple Yet Effective Uncertainty-Aware Open-Set Object Detection Framework","created":"2024-12-12","cited_by_count":2,"area":null},{"id":"2309.05334","title":"MultIOD: Rehearsal-free Multihead Incremental Object Detector","created":"2023-09-11","cited_by_count":1,"area":null},{"id":"2507.19870","title":"OW-CLIP: Data-Efficient Visual Supervision for Open-World Object Detection via Human-AI Collaboration","created":"2025-07-26","cited_by_count":1,"area":null},{"id":"2203.01531","title":"CAFE: Learning to Condense Dataset by Aligning Features","created":"2022-03-03","cited_by_count":0,"area":null},{"id":"2404.10865","title":"OSR-ViT: A Simple and Modular Framework for Open-Set Object Detection and Discovery","created":"2024-04-16","cited_by_count":0,"area":null},{"id":"2509.12878","title":"Few to Big: Prototype Expansion Network via Diffusion Learner for Point Cloud Few-shot Semantic Segmentation","created":"2025-09-16","cited_by_count":0,"area":null}],"next_cursor":null}