It is well-known that the performance of well-trained deep neural networ...
Masked autoencoder has demonstrated its effectiveness in self-supervised...
Temporal modeling is crucial for video super-resolution. Most of the vid...
Transformer has demonstrated promising performance in many 2D vision tas...
Domain adaptive semantic segmentation aims to learn a model with the
sup...
Label assignment (LA), which aims to assign each training sample a posit...
Arbitrary style transfer (AST) and domain generalization (DG) are import...
Most existing domain adaptation methods focus on adaptation from only on...