Stars
Prompt Learning for Vision-Language Models (IJCV'22, CVPR'22)
[ICCV 2023] CLIP-Driven Universal Model; Rank first in MSD Competition.
CLIP: Connecting Text and Image (Learning Transferable Visual Models From Natural Language Supervision)
[ICCV2021] Official PyTorch implementation of Segmenter: Transformer for Semantic Segmentation
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
A Survey on CLIP in Medical Imaging
Official implementation of "Decoupling Continual Semantic Segmentation". Novel framework separating class-aware detection from class-agnostic segmentation for effective continual learning.
Awsome of VLM-CL. Continual Learning for VLMs: A Survey and Taxonomy Beyond Forgetting
🔥🔥🔥[AAAI 2026 Oral] Official Implementation of Robust-R1: Degradation-Aware Reasoning for Robust Visual Understanding
This is the official PyTorch implementation of our work: "PRIME: Prototype-Driven Class Incremental Learning for Medical Image Segmentation" published at ACMMM 2025.
[EMNLP 2025 Demo] PDF scientific paper translation with preserved formats - 基于 AI 完整保留排版的 PDF 文档全文双语翻译，支持 Google/DeepL/Ollama/OpenAI 等服务，提供 CLI/GUI/MCP/Docker/Zotero
📄 Semi-Supervised Semantic Segmentation with Cross-Consistency Training (CVPR 2020).
Test-time Adaptation, Test-time Training and Source-free Domain Adaptation
Collection of awesome test-time (domain/batch/instance) adaptation methods
Some Conferences' accepted paper lists (including AI, ML, Robotic)
[ECCVW 2022] The codes for the work "Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation"
Deeplabv3 plus 3D version (in pytorch)
Mask3D predicts accurate 3D semantic instances achieving state-of-the-art on ScanNet, ScanNet200, S3DIS and STPLS3D.
A list of papers and codes about Incremental/Continual Semantic Segmentation
Implementation of Learning without Forgetting paper
Code for the article "A Lifelong Learning Approach to Brain MR Segmentation Across Scanners and Protocols"