Background subtraction (BGS) aims to extract all moving objects in the v...
Inspired by masked language modeling (MLM) in natural language processin...
Visual tasks vary a lot in their output formats and concerned contents,
...
Previous unsupervised domain adaptation methods did not handle the
cross...
Self-supervised learning (SSL) holds promise in leveraging large amounts...
Structural neural network pruning aims to remove the redundant channels ...
Being able to see into walls is crucial for diagnostics of building heal...
Transformer has achieved great success in computer vision, while how to ...
Transformer has been widely used for self-supervised pre-training in Nat...
To address the problem of long-tail distribution for the large vocabular...
The region-based Convolutional Neural Network (CNN) detectors such as Fa...