Robust Test-Time Adaptation in Dynamic Scenarios-Reference-Cited by-同舟云学术

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Robust Test-Time Adaptation in Dynamic Scenarios

Published:2023-06 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
language:
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Author:

Yuan Longhui¹,Xie Binhui¹,Li Shuang¹

Affiliation:

1. School of Computer Science and Technology, Beijing Institute of Technology

Funder

National Key R&D Program of China

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10203037/10203050/10204405.pdf?arnumber=10204405

Reference85 articles.

1. An image is worth 16×16 words: Transformers for image recognition at scale;dosovitskiy;ICLRE,0

2. Pytorch: An imperative style, high-performance deep learning library;paszke;NeurIPS,0

3. Robustbench: a standardized adversarial robustness benchmark;croce;NeurIPS,0

4. A Survey on Transfer Learning

5. Test-time adaptation for visual document understanding;ebrahimi;CoRR,2022

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1. Towards Test Time Domain Adaptation via Negative Label Smoothing;Neurocomputing;2024-10

2. Advancing Model Generalization in Continuous Cyclic Test-Time Adaptation with Matrix Perturbation Noise;Mathematics;2024-09-10

3. Enabling Collaborative Test-Time Adaptation in Dynamic Environment via Federated Learning;Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2024-08-24

4. Cloud-Edge Test-Time Adaptation for Cross-Domain Online Machinery Fault Diagnosis via Customized Contrastive Learning;Advanced Engineering Informatics;2024-08

5. A Comprehensive Survey on Test-Time Adaptation Under Distribution Shifts;International Journal of Computer Vision;2024-07-18

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