Source-Guided Target Feature Reconstruction for Cross-Domain Classification and Detection-Reference-Cited by-同舟云学术

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Source-Guided Target Feature Reconstruction for Cross-Domain Classification and Detection

Published:2024 Issue: Volume:33 Page:2808-2822
ISSN:1057-7149
Container-title:IEEE Transactions on Image Processing
language:
Short-container-title:IEEE Trans. on Image Process.

Author:

Jiao Yifan¹^ORCID,Yao Hantao²^ORCID,Bao Bing-Kun³^ORCID,Xu Changsheng²^ORCID

Affiliation:

1. School of Communications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China

2. State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China

3. School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing, China

Funder

National Science and Technology Major Project

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

Beijing Natural Science Foundation

Natural Science Research Start-Up Foundation of Recruiting Talents of Nanjing University of Posts and Telecommunications

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/83/10346232/10495745.pdf?arnumber=10495745

Reference83 articles.

1. Progressive Context-Dependent Inference for Object Detection in Remote Sensing Imagery

2. Knowledge Amalgamation for Object Detection With Transformers

3. Spatial Context-Aware Object-Attentional Network for Multi-Label Image Classification

4. Centralized Feature Pyramid for Object Detection

5. Self-ensembling for visual domain adaptation;French

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