A Comprehensive Survey on Test-Time Adaptation Under Distribution Shifts
Author:
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11263-024-02181-w.pdf
Reference402 articles.
1. Agarwal, P., Paudel, D. P., Zaech, J.-N., & Van Gool, L. (2022) Unsupervised robust domain adaptation without source data. In Proceedings of WACV (pp. 2009–2018).
2. Ahmed, S. K. M., Lejbolle, A. R., Panda, R., & Roy-Chowdhury, A. K. (2020). Camera on-boarding for person re-identification using hypothesis transfer learning. In Proceedings of CVPR (pp. 12144–12153).
3. Ahmed, S. K. M., Lohit, S., Peng, K.-C., Jones, M., & Roy-Chowdhury, A. K. (2022). Cross-modal knowledge transfer without task-relevant source data. In Proceedings of ECCV (pp. 111–127).
4. Ahmed, W., Morerio, P., & Murino, V. (2022). Cleaning noisy labels by negative ensemble learning for source-free unsupervised domain adaptation. In Proceedings of WACV (pp. 1616–1625).
5. Ahmed, S. K. M., Raychaudhuri, D. S., Paul, S., Oymak, S., & Roy-Chowdhury, A. K. (2021). Unsupervised multi-source domain adaptation without access to source data. In Proceedings of CVPR (pp. 10103–10112).
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. Improving Acoustic Scene Classification via Self-Supervised and Semi-Supervised Learning with Efficient Audio Transformer;2024 IEEE International Conference on Multimedia and Expo Workshops (ICMEW);2024-07-15
2. Zero-shot classification of small target on sea bottom using model-agnostic meta-learning;The Journal of the Acoustical Society of America;2024-07-01
3. Advancing towards Safe Reinforcement Learning over Sparse Environments with Out-of-Distribution Observations: Detection and Adaptation Strategies;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30
4. COMET: Contrastive Mean Teacher for Online Source-Free Universal Domain Adaptation;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30
5. Online Resource Allocation for Edge Intelligence with Colocated Model Retraining and Inference;IEEE INFOCOM 2024 - IEEE Conference on Computer Communications;2024-05-20
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3