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.
Like facebookresearch/segment-anything, 0 likes 0 Bookmark facebookresearch/segment-anything, 0 bookmarks 0 [CVPR 2026 Oral] "INSID3: Training-Free In-Context Segmentation with DINOv3"
Like visinf/INSID3, 0 likes 0 Bookmark visinf/INSID3, 0 bookmarks 0 The code for "InstructSAM: Segment Any Instance with Any Instructions"
Like ZJU4EmbodiedAI/InstructSAM, 0 likes 0 Bookmark ZJU4EmbodiedAI/InstructSAM, 0 bookmarks 0 Multi-Class Few-Shot Semantic Segmentation with Visual Prompts
Like pasqualedem/LabelAnything, 0 likes 0 Bookmark pasqualedem/LabelAnything, 0 bookmarks 0 EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything
Like yformer/EfficientSAM, 0 likes 0 Bookmark yformer/EfficientSAM, 0 bookmarks 0 The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Like facebookresearch/sam2, 0 likes 0 Bookmark facebookresearch/sam2, 0 bookmarks 0 Official code "Taming SAM3 under Distribution Shift: ConceptBank for Support-Assisted Open-Vocabulary Segmentation"
Like PGSmall/ConceptBank, 0 likes 0 Bookmark PGSmall/ConceptBank, 0 bookmarks 0 [NeurIPS 2023] Official implementation of the paper "Segment Everything Everywhere All at Once"
Like UX-Decoder/Segment-Everything-Everywhere-All-At-Once, 0 likes 0 Bookmark UX-Decoder/Segment-Everything-Everywhere-All-At-Once, 0 bookmarks 0 Code for "Deep Snake for Real-Time Instance Segmentation" CVPR 2020 oral
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