486 citations · 1.1k across the 26 of their papers we have counts for
27 papers
Feature Aggregation and Propagation Network for Camouflaged Object Detection
Tao Zhou, Yi Zhou, Chen Gong +2
Camouflaged object detection (COD) aims to detect/segment camouflaged objects embedded in the environment, which has attracted increasing attention over the past decades. Although…
Towards Harnessing Feature Embedding for Robust Learning with Noisy Labels
Chuang Zhang, Li Shen, Jian Yang +1
The memorization effect of deep neural networks (DNNs) plays a pivotal role in recent label noise learning methods. To exploit this effect, the model prediction-based methods have…
Multi-class Label Noise Learning via Loss Decomposition and Centroid Estimation
Yongliang Ding, Tao Zhou, Chuang Zhang +3
In real-world scenarios, many large-scale datasets often contain inaccurate labels, i.e., noisy labels, which may confuse model training and lead to performance degradation. To ove…
Adaptive Discriminative Regularization for Visual Classification
Qingsong Zhao, Yi Wang, Shuguang Dou +3
How to improve discriminative feature learning is central in classification. Existing works address this problem by explicitly increasing inter-class separability and intra-class s…
Consistency and Diversity induced Human Motion Segmentation
Tao Zhou, Huazhu Fu, Chen Gong +4
Subspace clustering is a classical technique that has been widely used for human motion segmentation and other related tasks. However, existing segmentation methods often cluster d…
Reliable Shot Identification for Complex Event Detection via Visual-Semantic Embedding
Minnan Luo, Xiaojun Chang, Chen Gong
Multimedia event detection is the task of detecting a specific event of interest in an user-generated video on websites. The most fundamental challenge facing this task lies in the…