Self-supervised methods have shown remarkable progress in learning high-...
Transformers have become the primary backbone of the computer vision
com...
In this paper, we consider the task of unsupervised object discovery in
...
In this paper, we propose a novel learning scheme for self-supervised vi...
Contrastive learning has shown promising potential in self-supervised
sp...
Deep neural networks are capable of learning powerful representations to...
In light of the success of contrastive learning in the image domain, cur...
The crux of self-supervised video representation learning is to build ge...
We study the black-box attacks on graph neural networks (GNNs) under a n...