facebookresearch/CutLER

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Cut and Learn for Unsupervised Image & Video Object Detection and Instance Segmentation Cut-and-LEaRn (CutLER) is a simple approach for training object detection and instance segmentation models without human annotations. It outperforms previous SOTA by 2.7 times for AP50 and 2.6 times for AR on 11 benchmarks. Cut and Learn for Unsupervised Object Detection and Instance Segmentation Xudong Wang, Rohit Girdhar, Stella X. Yu, Ishan Misra FAIR, Meta AI; UC Berkeley CVPR 2023 [project page] [arxiv]...