Cut and Learn for Unsupervised 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. Paper: https://arxiv.org/pdf/2301.11320.pdf Github: https://github.com/facebookresearch/CutLER Demo: colab.research.google.com/drive/1…gSr3HOBb 👉@computer_science_and_programming