most citedAbs-CAM: A Gradient Optimization Interpretable Approach for Explanation of Convolutional Neural Networks

3 citations · 7 across the 5 of their papers we have counts for

collaborators

6 papers

cs.SD2024

Mobile Recording Device Recognition Based Cross-Scale and Multi-Level Representation Learning

Chunyan Zeng, Yuhao Zhao, Zhifeng Wang

This paper introduces a modeling approach that employs multi-level global processing, encompassing both short-term frame-level and long-term sample-level feature scales. In the ini…

cs.CV20231 cited

Learning Behavior Recognition in Smart Classroom with Multiple Students Based on YOLOv5

Zhifeng Wang, Jialong Yao, Chunyan Zeng +3

Deep learning-based computer vision technology has grown stronger in recent years, and cross-fertilization using computer vision technology has been a popular direction in recent y…

cs.CR20233 cited

Graph Neural Networks Enhanced Smart Contract Vulnerability Detection of Educational Blockchain

Zhifeng Wang, Wanxuan Wu, Chunyan Zeng +3

With the development of blockchain technology, more and more attention has been paid to the intersection of blockchain and education, and various educational evaluation systems and…

cs.SD2022

Spatio-Temporal Representation Learning Enhanced Source Cell-phone Recognition from Speech Recordings

Chunyan Zeng, Shixiong Feng, Zhifeng Wang +3

The existing source cell-phone recognition method lacks the long-term feature characterization of the source device, resulting in inaccurate representation of the source cell-phone…

cs.SD2022

Digital Audio Tampering Detection Based on ENF Spatio-temporal Features Representation Learning

Chunyan Zeng, Shuai Kong, Zhifeng Wang +2

Most digital audio tampering detection methods based on electrical network frequency (ENF) only utilize the static spatial information of ENF, ignoring the variation of ENF in time…

cs.CV20223 cited

Abs-CAM: A Gradient Optimization Interpretable Approach for Explanation of Convolutional Neural Networks

Chunyan Zeng, Kang Yan, Zhifeng Wang +3

The black-box nature of Deep Neural Networks (DNNs) severely hinders its performance improvement and application in specific scenes. In recent years, class activation mapping-based…