Joint-Guided Distillation Binary Neural Network via Dynamic Channel-Wise Diversity Enhancement for Object Detection-Reference-Cited by-同舟云学术

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Joint-Guided Distillation Binary Neural Network via Dynamic Channel-Wise Diversity Enhancement for Object Detection

Published:2024-01 Issue:1 Volume:34 Page:448-460
ISSN:1051-8215
Container-title:IEEE Transactions on Circuits and Systems for Video Technology
language:
Short-container-title:IEEE Trans. Circuits Syst. Video Technol.

Author:

Xie Yefan¹^ORCID,Hou Xuan¹,Guo Yanwei¹,Wang Xiuying²^ORCID,Zheng Jiangbin¹^ORCID

Affiliation:

1. School of Computer Science, the National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology and the Shaanxi Provincial Key Laboratory of Speech Image Information Processing, Northwestern Polytechnical University, Shaanxi, Xi'an, China

2. School of Computer Science, The University of Sydney, Darlington, Sydney, NSW, Australia

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Media Technology

Link

http://xplorestaging.ieee.org/ielx7/76/10382161/10153086.pdf?arnumber=10153086

Reference64 articles.

1. MS2Net: Multi-Scale and Multi-Stage Feature Fusion for Blurred Image Super-Resolution

2. Using Fuzzy Logic to Learn Abstract Policies in Large-Scale Multiagent Reinforcement Learning

3. Weakly-Supervised Part-Attention and Mentored Networks for Vehicle Re-Identification

4. Mass segmentation for whole mammograms via attentive multi-task learning framework

5. Cross-Collaborative Fusion-Encoder Network for Robust RGB-Thermal Salient Object Detection

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