Fine-Grained Representation Alignment for Zero-Shot Domain Adaptation-Reference-Cited by-同舟云学术

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Fine-Grained Representation Alignment for Zero-Shot Domain Adaptation

Published:2024 Issue: Volume:26 Page:6285-6296
ISSN:1520-9210
Container-title:IEEE Transactions on Multimedia
language:
Short-container-title:IEEE Trans. Multimedia

Author:

Liu Yabo¹^ORCID,Wang Jinghua²^ORCID,Zhong Shenghua³^ORCID,Ma Lianyang⁴^ORCID,Xu Yong¹^ORCID

Affiliation:

1. Shenzhen Key Laboratory of Visual Object Detection and Recognition, Harbin Institute of Technology, Shenzhen, China

2. School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, China

3. Shenzhen University, Shenzhen, China

4. Tencent Technology, Shenzhen, China

Funder

Natural Science Foundation China

Basic and Applied Basic Research Foundation of Guangdong Province

Shenzhen Science and Technology Program

Peng Cheng Laboratory Research Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6046/10384483/10384812.pdf?arnumber=10384812

Reference90 articles.

1. Deep Residual Learning for Image Recognition

2. Adaptive Deep Metric Learning for Affective Image Retrieval and Classification

3. Fine-Grained Image Classification by Class and Image-Specific Decomposition with Multiple Views

4. Dual-Awareness Attention for Few-Shot Object Detection

5. Bal-R2CNN: High Quality Recurrent Object Detection with Balance Optimization

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