🌟🌟🌟: Our new work on source-free universal domain adaptation has been accepted by CVPR-2024! The paper "LEAD: Learning Decomposition for Source-free ...

To further test the robustness of the model against background interference, we propose an ImageNet background interference test set, ImageNet-Bg, based on the ImageNet validation set with 48,285 ...

Abstract: As we transition from the 5G epoch, a new horizon beckons with the advent of 6G, seeking a profound fusion with novel communication paradigms and emerging technological trends, bringing once ...