Unsupervised domain adaptation (UDA) aims to learn a model trained on so...
3D point cloud registration is a fundamental problem in computer vision ...
Multiple Instance Learning (MIL) is widely used in analyzing
histopathol...
Recently, the pre-training paradigm combining Transformer and masked lan...
Image fusion is a technique to integrate information from multiple sourc...
In this paper, we propose TransMEF, a transformer-based multi-exposure i...
Deep neural networks have achieved promising performance in supervised p...
3D point cloud registration is a fundamental problem in computer vision ...
We propose an unsupervised image fusion architecture for multiple applic...