The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
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PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations
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PyTorch code and models for the DINOv2 self-supervised learning method.
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Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
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Person Re-ranking (CVPR 2017)
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