A New Adjacency Matrix Configuration in GCN-based Models for Skeleton-based Action Recognition

no code implementations • 29 Jun 2022 • Zheng Fang, Xiongwei Zhang, Tieyong Cao, Yunfei Zheng, Meng Sun

Comprehensive experimental results and analysis reveals that 1) the most widely used human natural skeleton structure adjacency matrix is unsuitable in skeleton-based action recognition; 2) The proposed adjacency matrix is superior in model performance, noise robustness and transferability.

Action Recognition Skeleton Based Action Recognition

Unrestricted Adversarial Attacks on ImageNet Competition

1 code implementation • 17 Oct 2021 • Yuefeng Chen, Xiaofeng Mao, Yuan He, Hui Xue, Chao Li, Yinpeng Dong, Qi-An Fu, Xiao Yang, Tianyu Pang, Hang Su, Jun Zhu, Fangcheng Liu, Chao Zhang, Hongyang Zhang, Yichi Zhang, Shilong Liu, Chang Liu, Wenzhao Xiang, Yajie Wang, Huipeng Zhou, Haoran Lyu, Yidan Xu, Zixuan Xu, Taoyu Zhu, Wenjun Li, Xianfeng Gao, Guoqiu Wang, Huanqian Yan, Ying Guo, Chaoning Zhang, Zheng Fang, Yang Wang, Bingyang Fu, Yunfei Zheng, Yekui Wang, Haorong Luo, Zhen Yang

Many works have investigated the adversarial attacks or defenses under the settings where a bounded and imperceptible perturbation can be added to the input.

Adversarial Attack

Error Loss Networks

no code implementations • 7 Jun 2021 • Badong Chen, Yunfei Zheng, Pengju Ren

A novel model called error loss network (ELN) is proposed to build an error loss function for supervised learning.

Broad Learning System Based on Maximum Correntropy Criterion

no code implementations • 24 Dec 2019 • Yunfei Zheng, Badong Chen, Shiyuan Wang, Senior Member, Weiqun Wang, Member, IEEE

As an effective and efficient discriminative learning method, Broad Learning System (BLS) has received increasing attention due to its outstanding performance in various regression and classification problems.

General Classification Incremental Learning +1