open-world detection

OW-DAR: Dual-Granularity Adaptive Reconstruction-Error Modeling for Open-World Object Detection AAAI 2026 OW-Rep: Open World Object Detection with Instance Representation Learning WACV 2026 Prompt-Free Unknown Label Generation for Open World Detection in Remote Sensing CVPR 2026 Decoupled PROB: Decoupled Query Initialization Tasks and Objectness-Class Learning for Open World Object Detection WACV 2025 Finding Dino: A Plug-and-Play Framework for Zero-Shot Detection of Out-of-Distribution Objects using Prototypes WACV 2025 Learning Counterfactually Decoupled Attention for Open-World Model Attribution ICCV 2025 AIDE: An Automatic Data Engine for Object Detection in Autonomous Driving CVPR 2024 Hyperbolic Learning with Synthetic Captions for Open-World Detection CVPR 2024 OW-VISCapTor: Abstractors for Open-World Video Instance Segmentation and Captioning NeurIPS 2024 Recognize Any Regions NeurIPS 2024 Semi-supervised Open-World Object Detection AAAI 2024 Tunable Hybrid Proposal Networks for the Open World WACV 2024 CapDet: Unifying Dense Captioning and Open-World Detection Pretraining CVPR 2023 CAT: LoCalization and IdentificAtion Cascade Detection Transformer for Open-World Object Detection CVPR 2023 Detecting Everything in the Open World: Towards Universal Object Detection CVPR 2023 Object Detection in Real Open Environment IJCAI 2023 Random Boxes Are Open-world Object Detectors ICCV 2023 Unknown Sniffer for Object Detection: Don't Turn a Blind Eye to Unknown Objects CVPR 2023 Video OWL-ViT: Temporally-consistent Open-world Localization in Video ICCV 2023 DetCLIP: Dictionary-Enriched Visual-Concept Paralleled Pre-training for Open-world Detection NeurIPS 2022 Learngene: From Open-World to Your Learning Task AAAI 2022 Opening Up Open World Tracking CVPR 2022 OW-DETR: Open-World Detection Transformer CVPR 2022