activity
20182022
most citedGroup Fisher Pruning for Practical Network Compression

25 citations · 55 across the 5 of their papers we have counts for

collaborators

12 papers

cs.CV20223 cited

Revisiting Domain Generalized Stereo Matching Networks from a Feature Consistency Perspective

Jiawei Zhang, Xiang Wang, Xiao Bai +7

Despite recent stereo matching networks achieving impressive performance given sufficient training data, they suffer from domain shifts and generalize poorly to unseen domains. We…

cs.CV2021

Pseudo-mask Matters in Weakly-supervised Semantic Segmentation

Yi Li, Zhanghui Kuang, Liyang Liu +2

Most weakly supervised semantic segmentation (WSSS) methods follow the pipeline that generates pseudo-masks initially and trains the segmentation model with the pseudo-masks in ful…

cs.CV202125 cited

Group Fisher Pruning for Practical Network Compression

Liyang Liu, Shilong Zhang, Zhanghui Kuang +7

Network compression has been widely studied since it is able to reduce the memory and computation cost during inference. However, previous methods seldom deal with complicated stru…

cs.CV202013 cited

Slender Object Detection: Diagnoses and Improvements

Zhaoyi Wan, Yimin Chen, Sutao Deng +3

In this paper, we are concerned with the detection of a particular type of objects with extreme aspect ratios, namely \textbf{slender objects}. In real-world scenarios, slender obj…

cs.CV2019

Adaptive Unimodal Cost Volume Filtering for Deep Stereo Matching

Youmin Zhang, Yimin Chen, Xiao Bai +4

State-of-the-art deep learning based stereo matching approaches treat disparity estimation as a regression problem, where loss function is directly defined on true disparities and…

cs.CV2019

Fashion Retrieval via Graph Reasoning Networks on a Similarity Pyramid

Zhanghui Kuang, Yiming Gao, Guanbin Li +4

Matching clothing images from customers and online shopping stores has rich applications in E-commerce. Existing algorithms encoded an image as a global feature vector and performe…