This repo aims to include materials (papers, codes, slides) about SAM2 (segment anything in images and videos), a vision foundation model released by Meta AI . We are continuously improving the project. Welcome to PR the works (papers, repos) that are missed.
- SAM2 [code, demo, Explaination]
- SAM [code, demo, Explaination)
- Survey
- Medical Video or 3D Segmentation
- Medical Image Segmentation
- Video Object Segmentation
- Video Camouflage Object Detection
- Image Camouflage Object Detection
- Remote Sensing
- 3D Mesh or Point Cloud Segmentation
- Segment Anything for Videos: A Systematic Survey [code]
- Unleashing the Potential of SAM2 for Biomedical Images and Videos: A Survey [code]
- Segment anything in medical images and videos: Benchmark and deployment [code]
- SAM 2 in Robotic Surgery: An Empirical Evaluation for Robustness and Generalization in Surgical Video Segmentation [code]
- A Short Review and Evaluation of SAM2's Performance in 3D CT Image Segmentation [code]
- Is SAM 2 Better than SAM in Medical Image Segmentation? [code]
- Performance and Non-adversarial Robustness of the Segment Anything Model 2 in Surgical Video Segmentation [code]
- Novel adaptation of video segmentation to 3D MRI: efficient zero-shot knee segmentation with SAM2 [code]
- SAM2-PATH: A better segment anything model for semantic segmentation in digital pathology [code]
- SAM & SAM 2 in 3D Slicer: SegmentWithSAM Extension for Annotating Medical Images [code]
- Medical SAM 2: Segment Medical Images As Video Via Segment Anything Model 2 [code]
- Interactive 3D Medical Image Segmentation [code]
- Biomedical sam 2: Segment anything in biomedical images and videos [code]
- Polyp SAM 2: Advancing Zero shot Polyp Segmentation in Colorectal Cancer Detection [code]
- Surgical SAM 2: Real-time Segment Anything in Surgical Video by Efficient Frame Pruning [code]
- SAM2-UNet: Segment Anything 2 Makes Strong Encoder for Natural and Medical Image Segmentation [code]
- SAM2-Adapter: Evaluating & Adapting Segment Anything 2 in Downstream Tasks: Camouflage, Shadow, Medical Image Segmentation, and More [code]
- Retrieval-augmented Few-shot Medical Image Segmentation with Foundation Models [code]
- Video Object Segmentation via SAM 2: The 4th Solution for LSVOS Challenge VOS Track [code]
- The 2nd Solution for LSVOS Challenge RVOS Track: Spatial-temporal Refinement for Consistent Semantic Segmentation [code]
- LSVOS Challenge 3rd Place Report: SAM2 and Cutie based VOS [code]