Stars
The official code repository for the ECCV 2024 accepted paper "Representing Topological Self-Similarity Using Fractal Feature Maps for Accurate Segmentation of Tubular Structures".
sagieppel / fine-tune-train_segment_anything_2_in_60_lines_of_code
Forked from facebookresearch/sam2The repository provides code for training/fine tune the Meta Segment Anything Model 2 (SAM 2)
[AAAI 25] FAMNet: Frequency-aware Matching Network for Cross-domain Few-shot Medical Image Segmentation
This is a repository for the ICLR2023 accepted paper -- Medical Image Understanding with Pretrained Vision Language Models: A Comprehensive Study.
This is the official repo for "Self-Prompting Large Vision Models for Few-Shot Medical Image Segmentation"
The official repository for DeSAM: Decoupled Segment Anything Model for Generalizable Medical Image Segmentation.
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
Official Repository for "Domain-Guided Weight Modulation for Semi-Supervised Domain Generalization" - (WACV-25)
Software in C and data files for the popular GloVe model for distributed word representations, a.k.a. word vectors or embeddings
[CVPR2024] MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical Image Segmentation Based on 3D Masked Autoencoding and Pseudo-Labeling
CVPR M^3-UDA: A New Benchmark for Unsupervised Domain Adaptive Fetal Cardiac Structure Detection
Pytorch Implementation for CVPR 2024 paper: Learn to Rectify the Bias of CLIP for Unsupervised Semantic Segmentation
Code for ICML 2020 "Graph Optimal Transport for Cross-Domain Alignment"
[CVPR' 22 ORAL] SIGMA: Semantic-complete Graph Matching for Domain Adaptative Object Detection
The official repository for "One Model to Rule them All: Towards Universal Segmentation for Medical Images with Text Prompts"
Language-Driven Semantic Segmentation
[ECCV'24] Textual Query-Driven Mask Transformer for Domain Generalized Segmentation
This repository contains the pytorch code for our CVPRW 2024 paper "Test-Time Adaptation with SaLIP: A Cascade of SAM and CLIP for Zero-shot Medical Image Segmentation".
A Survey on CLIP in Medical Imaging