ZJU4EmbodiedAI/InstructSAM

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.

Official code for "No time to train! Training-Free Reference-Based Instance Segmentation"

EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything

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.

[CVPR2024] The code for "Osprey: Pixel Understanding with Visual Instruction Tuning"

[NeurIPS 2023] Official implementation of the paper "Segment Everything Everywhere All at Once"

Multi-Class Few-Shot Semantic Segmentation with Visual Prompts

The repository provides code for running inference and finetuning with the Meta Segment Anything Model 3 (SAM 3), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

[ECCV 2024] The official code of paper "Open-Vocabulary SAM".