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[IEEE TGRS 2024] Learning Land-Cover Changes from Satellite and Map Data via Object-Guided Transformer
Reading list for research topics in multimodal machine learning
An open-source framework for training large multimodal models.
Conditionally run actions based on files modified by PR, feature branch or pushed commits
Prompt Learning for Vision-Language Models (IJCV'22, CVPR'22)
[CVPR'24] UniRepLKNet: A Universal Perception Large-Kernel ConvNet for Audio, Video, Point Cloud, Time-Series and Image Recognition
A Comparative Framework for Multimodal Recommender Systems
An official implementation for "CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip Retrieval"
A review of change detection methods, including codes and open data sets for deep learning. From paper: change detection based on artificial intelligence: state-of-the-art and challenges.
A collection of resources on applications of multi-modal learning in medical imaging.
A Change Detection Repo Standing on the Shoulders of Giants