Transfer Learning Features
Transfer Learning Features is a feature representation method that leverages pre-trained model knowledge from a source task to enhance feature extraction and model performance in a target task through parameter transfer and adaptation.
165
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11.5K
Citations
739
Authors
324
Institutions
Publications per year
2017–2026
151
Parents
165
Transfer Feature Learning with Joint Distribution Adaptation
Mingsheng Long, Jianmin Wang, Guiguang Ding et al. · 2013 · 2K citations
A Novel Transfer Learning Based Approach for Pneumonia Detection in Chest X-ray Images
V. S. Chouhan, Sanjay Kumar Singh, Aditya Khamparia et al. · Applied Sciences · 2020 · 740 citations · Full text
What makes ImageNet good for transfer learning?
Minyoung Huh, Pulkit Agrawal, Alexei A. Efros · arXiv (Cornell University) · 2016 · 308 citations · Full text
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Princess Nourah bint Abdulrahman University, Saudi Arabia
2 publications · 146 citations
2
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Princess Nourah bint Abdulrahman University
Riyadh, Saudi Arabia
6 h-index
10 publications
411 citations
Tsinghua University
Beijing, China
5 h-index
14 publications
9.3K citations
HITEC University
Rawalpindi, Pakistan
4 h-index
10 publications
476 citations

Amrita Vishwa Vidyapeetham
Coimbatore, India
4 h-index
13 publications
608 citations
COMSATS University Islamabad
Islamabad, Pakistan
3 h-index
10 publications
294 citations
Tongji University
Shanghai, China
3 h-index
5 publications
159 citations
King Khalid University
Abhā, Saudi Arabia
3 h-index
3 publications
140 citations

Nanjing University of Aeronautics and Astronautics
Nanjing, China
3 h-index
8 publications
282 citations
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7 publications · 541 citations
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4 publications · 149 citations
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CMC · 4 publications · 143 citations
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3 publications · 85 citations
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3 publications · 112 citations
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