xhu248 / AutoSAMLinks
finetuning SAM with non-promptable decoder on medical images
☆132Updated last year
Alternatives and similar repositories for AutoSAM
Users that are interested in AutoSAM are comparing it to the libraries listed below
Sorting:
- Try to use the SAM-ViT as the backbone to create the learnable prompt for semantic segmentation☆94Updated last year
- [MICCAI 2024] The official repository for DeSAM: Decoupled Segment Anything Model for Generalizable Medical Image Segmentation.☆130Updated 5 months ago
- Pytorch implementation of paper Ladder Fine-tuning approach for SAM integrating complementary network.☆92Updated 2 years ago
- biastuning for SAM on medical datasets☆46Updated last year
- [CVPR 2024 Oral] MemSAM: Taming Segment Anything Model for Echocardiography Video Segmentation.☆164Updated 11 months ago
- This is the official repo for "Self-Prompting Large Vision Models for Few-Shot Medical Image Segmentation"☆93Updated last month
- ☆121Updated last year
- [AAAI2024] Official implementation of SurgicalSAM☆104Updated 6 months ago
- Interactive Medical Image Segmentation☆59Updated 11 months ago
- AutoSAM: Adapting SAM to Medical Images by Overloading the Prompt Encoder☆42Updated last year
- Official website for "Video Polyp Segmentation: A Deep Learning Perspective (MIR 2022)"☆197Updated 3 months ago
- [ArXiv' 24] De-LightSAM: Modality-Decoupled Lightweight SAM for Generalizable Medical Segmentation☆53Updated 2 weeks ago
- ☆57Updated 9 months ago
- the official repository for CVPR 2024 paper "One-Prompt to Segment All Medical Images"☆131Updated last year
- This repository contains the pytorch code for our CVPRW 2024 paper "Test-Time Adaptation with SaLIP: A Cascade of SAM and CLIP for Zero-s…☆43Updated last year
- Official implementation of MedCLIP-SAM (MICCAI 2024)☆106Updated 8 months ago
- ☆172Updated 9 months ago
- [AAAI 2025] Official repository of Generative Medical Segmentation☆63Updated 7 months ago
- [CVPR'23] Instance-specific and Model-adaptive Supervision for Semi-supervised Semantic Segmentation☆40Updated last year
- [TMI 2023] XBound-Former: Toward Cross-scale Boundary Modeling in Transformers