activity
20182022
most citedCompound Batch Normalization for Long-tailed Image Classification

7 citations · 10 across the 7 of their papers we have counts for

collaborators

8 papers

cs.CV20227 cited

Compound Batch Normalization for Long-tailed Image Classification

Lechao Cheng, Chaowei Fang, Dingwen Zhang +2

Significant progress has been made in learning image classification neural networks under long-tail data distribution using robust training algorithms such as data re-sampling, re-…

cs.CV20221 cited

Combating Noisy Labels in Long-Tailed Image Classification

Chaowei Fang, Lechao Cheng, Huiyan Qi +1

Most existing methods that cope with noisy labels usually assume that the class distributions are well balanced, which has insufficient capacity to deal with the practical scenario…

cs.LG2022

A Survey of Neural Trees

Haoling Li, Jie Song, Mengqi Xue +4

Neural networks (NNs) and decision trees (DTs) are both popular models of machine learning, yet coming with mutually exclusive advantages and limitations. To bring the best of the…

cs.CV2021

Technical Report: Disentangled Action Parsing Networks for Accurate Part-level Action Parsing

Xuanhan Wang, Xiaojia Chen, Lianli Gao +2

Part-level Action Parsing aims at part state parsing for boosting action recognition in videos. Despite of dramatic progresses in the area of video classification research, a sever…

cs.CV20211 cited

Boundary Knowledge Translation based Reference Semantic Segmentation

Lechao Cheng, Zunlei Feng, Xinchao Wang +3

Given a reference object of an unknown type in an image, human observers can effortlessly find the objects of the same category in another image and precisely tell their visual bou…

cs.CV20211 cited

Edge-competing Pathological Liver Vessel Segmentation with Limited Labels

Zunlei Feng, Zhonghua Wang, Xinchao Wang +5

The microvascular invasion (MVI) is a major prognostic factor in hepatocellular carcinoma, which is one of the malignant tumors with the highest mortality rate. The diagnosis of MV…