visinf/INSID3

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

The code for "InstructSAM: Segment Any Instance with Any Instructions"

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.

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

[ICCV 2025 Oral] CorrCLIP & [IJCV 2026] CorrCLIPv2

[TIP 2025] Self-Calibrated CLIP for Training-Free Open-Vocabulary Segmentation

Multi-Class Few-Shot Semantic Segmentation with Visual Prompts

[CVPR'26 Findings] Source code for "RADSeg Unleashing Parameter and Compute Efficient Zero-Shot Open-Vocabulary Segmentation Using Agglomerative Models"

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.