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Pretraining boosts out-of-domain robustness for pose estimation.

, , , , , , и . WACV, стр. 1858-1867. IEEE, (2021)

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Steffen Schneider

Steffen Schneider

Steffen Schneider

Steffen Schneider

Steffen Schneider

 

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Pretraining boosts out-of-domain robustness for pose estimation., , , , , , и . WACV, стр. 1858-1867. IEEE, (2021)Comparing Local and Central Differential Privacy Using Membership Inference Attacks., , , , и . DBSec, том 12840 из Lecture Notes in Computer Science, стр. 22-42. Springer, (2021)wav2vec: Unsupervised Pre-Training for Speech Recognition., , , и . INTERSPEECH, стр. 3465-3469. ISCA, (2019)vq-wav2vec: Self-Supervised Learning of Discrete Speech Representations., , и . ICLR, OpenReview.net, (2020)Räumungsszenarien bei Großveranstaltungen: Modellierung einer Datenbasis für Planung und Forschung., , , и . GI Jahrestagung (2), том P-176 из LNI, стр. 168-173. GI, (2010)Contrastive Learning Inverts the Data Generating Process., , , , и . ICML, том 139 из Proceedings of Machine Learning Research, стр. 12979-12990. PMLR, (2021)Improving robustness against common corruptions by covariate shift adaptation., , , , , и . NeurIPS, (2020)Taxonomy of IT support for training emergency response & management., , и . ISCRAM, ISCRAM Association, (2014)Bildung mit und uber KI in der Schule: Umsetzung einer partizipativen Unterrichtsplattform., , , , , и . DELFI Workshops, стр. 21. Gesellschaft für Informatik e.V., (2024)Unsupervised Object Learning via Common Fate., , , , , , , , и . CLeaR, том 213 из Proceedings of Machine Learning Research, стр. 281-327. PMLR, (2023)