Concept-wise Fine-tuning Matters in Preventing Negative Transfer-Reference-Cited by-同舟云学术

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Concept-wise Fine-tuning Matters in Preventing Negative Transfer

Published:2023-10-01 Issue: Volume:8 Page:18707-18717
ISSN:
Container-title:2023 IEEE/CVF International Conference on Computer Vision (ICCV)
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Author:

Yang Yunqiao¹,Huang Long-Kai²,Wei Ying¹

Affiliation:

1. City University of Hong Kong

2. Tencent AI Lab

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10376473/10376477/10377320.pdf?arnumber=10377320

Reference63 articles.

1. Deep variational information bottleneck;Alemi

2. Earth mover distance over high-dimensional spaces;Andoni;SODA,2008

3. Invariant risk minimization;Arjovsky,2019

4. Unsupervised learning of visual features by contrasting cluster assignments;Caron;NeurIPS,2020

5. Rethinking atrous convolution for semantic image segmentation;Chen,2017

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