Deep neural networks are vulnerable to adversarial examples, dictating t...
Diffusion model based language-guided image editing has achieved great
s...
Recent object detection approaches rely on pretrained vision-language mo...
Recently, diffusion frameworks have achieved comparable performance with...
Image harmonization is a critical task in computer vision, which aims to...
Recently, various multimodal networks for Visually-Rich Document
Underst...
Zero-shot learning has been actively studied for image classification ta...
Existing semantic segmentation models heavily rely on dense pixel-wise
a...
Semantic segmentation has achieved significant progress but is still
cha...