19 citations · 43 across the 11 of their papers we have counts for
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cs.CV2022
CRCNet: Few-shot Segmentation with Cross-Reference and Region-Global Conditional Networks
Weide Liu, Chi Zhang, Guosheng Lin +1
Few-shot segmentation aims to learn a segmentation model that can be generalized to novel classes with only a few training images. In this paper, we propose a Cross-Reference and L…
cs.MM2022
Distilling Knowledge from Object Classification to Aesthetics Assessment
Jingwen Hou, Henghui Ding, Weisi Lin +2
In this work, we point out that the major dilemma of image aesthetics assessment (IAA) comes from the abstract nature of aesthetic labels. That is, a vast variety of distinct conte…
cs.CV2022
Long-tailed Recognition by Learning from Latent Categories
Weide Liu, Zhonghua Wu, Yiming Wang +4
In this work, we address the challenging task of long-tailed image recognition. Previous long-tailed recognition methods commonly focus on the data augmentation or re-balancing str…