In this paper, we present a simple, flexible and effective vision-langua...
For natural image matting, context information plays a crucial role in
e...
Vision Transformer (ViT) has become a leading tool in various computer v...
A practical long-term tracker typically contains three key properties, i...
Despite the great success of Siamese-based trackers, their performance u...
Generating adversarial examples in a black-box setting retains a signifi...
Unsupervised domain adaptation has attracted growing research attention ...
Most of the existing trackers usually rely on either a multi-scale searc...
In this paper, we propose a residual non-local attention network for
hig...
Consider the lifelong learning paradigm whose objective is to learn a
se...
Convolutional neural network has recently achieved great success for ima...
Convolutional neural network (CNN) depth is of crucial importance for im...
Stochastic gradient methods are dominant in nonconvex optimization espec...
A very deep convolutional neural network (CNN) has recently achieved gre...
In this paper, an effective unconstrained correlation filter called Unco...