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Beijing Jiaotong University
- Beijing
Starred repositories
A visual object tracking paper list, articles related to visual object tracking have been documented.
🧑🚀 全世界最好的LLM资料总结 | Summary of the world's best LLM resources.
EHRXQA: A Multi-Modal Question Answering Dataset for Electronic Health Records with Chest X-ray Images
Medical Graph RAG: Graph RAG for the Medical Data
[NAACL 2024 Findings] Source code for our paper"Hierarchical Attention Graph for Scientific Document Summarization in Global and Local Level"
Awesome-LLM-RAG: a curated list of advanced retrieval augmented generation (RAG) in Large Language Models
"4DGen: Grounded 4D Content Generation with Spatial-temporal Consistency", Yuyang Yin*, Dejia Xu*, Zhangyang Wang, Yao Zhao, Yunchao Wei
[AAAI2024] Official implementation of SurgicalSAM
Adapting Segment Anything Model for Medical Image Segmentation
A curated list of foundation models for vision and language tasks in medical imaging
Curated papers on Large Language Models in Healthcare and Medical domain
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
Knowledge Graphs Meet Multi-Modal Learning: A Comprehensive Survey
Awesome-Biomolecule-Language-Cross-Modeling: a curated list of resources for paper "Leveraging Biomolecule and Natural Language through Multi-Modal Learning: A Survey"
[CVPR2024] The code of "UniPT: Universal Parallel Tuning for Transfer Learning with Efficient Parameter and Memory"
Collection of awesome parameter-efficient fine-tuning resources.
Effortless data labeling with AI support from Segment Anything and other awesome models.
Awesome papers about generative Information Extraction (IE) using Large Language Models (LLMs)
PyTorch code for the CVPR'23 paper: "CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning"
🛰️ Official repository of paper "RemoteCLIP: A Vision Language Foundation Model for Remote Sensing" (IEEE TGRS)