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Test-time Adaptation, Test-time Training and Source-free Domain Adaptation
Collection of awesome test-time (domain/batch/instance) adaptation methods
[EMNLP'24] MedAdapter: Efficient Test-Time Adaptation of Large Language Models Towards Medical Reasoning
Recipes to scale inference-time compute of open models
An easy way to apply LoRA to CLIP. Implementation of the paper "Low-Rank Few-Shot Adaptation of Vision-Language Models" (CLIP-LoRA) [CVPRW 2024].
Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
[ECCV 2024] official code for "Long-CLIP: Unlocking the Long-Text Capability of CLIP"
Official implementation of "MediCLIP: Adapting CLIP for Few-shot Medical Image Anomaly Detection (MICCAI 2024 Early Accept)"
EVA Series: Visual Representation Fantasies from BAAI
[NeurIPS 2023] Release LMV-Med pre-trained models
Official repository of "SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory"
Machine Learning and Computer Vision Engineer - Technical Interview Questions
Curated list of data science interview questions and answers
[MedIA Journal] An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites
An Efficient, High-Quality 3D Segmentation for Medical Image Analysis with Constrained Computational Resources
[MICCAI 2023] DAE-Former: Dual Attention-guided Efficient Transformer for Medical Image Segmentation
This is the official repository for the paper "3D TransUNet: Advancing Medical Image Segmentation through Vision Transformers"
[MICCAI2022] This is an official PyTorch implementation for A Robust Volumetric Transformer for Accurate 3D Tumor Segmentation
SegMamba: Long-range Sequential Modeling Mamba For 3D Medical Image Segmentation
EfficientFormerV2 [ICCV 2023] & EfficientFormer [NeurIPs 2022]
Official PyTorch implementation of SegFormer