Contrastive learning is a major studied topic in metric learning. Howeve...
Correlation based stereo matching has achieved outstanding performance, ...
Deep generative approaches have obtained great success in image inpainti...
Contrastive learning-based video-language representation learning approa...
Feature reuse has been a key technique in light-weight convolutional neu...
Text-Video retrieval is a task of great practical value and has received...
Text logo design heavily relies on the creativity and expertise of
profe...
Recently, the dense correlation volume method achieves state-of-the-art
...
With the advent of convolutional neural networks, stereo matching algori...
We present CLIP2Video network to transfer the image-language pre-trainin...
Wide-angle portraits often enjoy expanded views. However, they contain
p...
Salient object segmentation aims at distinguishing various salient objec...
This paper proposes a novel deep convolutional model, Tri-Points Based L...
As a fine-grained segmentation task, human parsing is still faced with t...
Deep image completion usually fails to harmonically blend the restored i...
This paper introduces an extremely efficient CNN architecture named DFAN...
A Pyramid Attention Network(PAN) is proposed to exploit the impact of gl...