Limitations of Post-Hoc Feature Alignment for Robustness-Reference-Cited by-同舟云学术

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Limitations of Post-Hoc Feature Alignment for Robustness

Published:2021-06 Issue: Volume: Page:
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Container-title:2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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Author:

Burns Collin,Steinhardt Jacob

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9577055/9577056/09578403.pdf?arnumber=9578403

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Multi-source fully test-time adaptation;Neural Networks;2024-08

2. A.I. Robustness: a Human-Centered Perspective on Technological Challenges and Opportunities;ACM Computing Surveys;2024-05-27

3. Cross-Subject Mental Fatigue Detection based on Separable Spatio-Temporal Feature Aggregation;ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2023-06-04

4. Improving Robustness of Vision Transformers by Reducing Sensitivity to Patch Corruptions;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR);2023-06

5. Causality-Inspired Single-Source Domain Generalization for Medical Image Segmentation;IEEE Transactions on Medical Imaging;2023-04

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