SequenceMatch Revisiting the design of weak-strong augmentations for Semi-supervised learning

Nguyen, KB

SequenceMatch Revisiting the design of weak-strong augmentations for Semi-supervised learning

https://hdl.handle.net/10779/DRO/DU:29992672

conference contribution

posted on 2025-08-27, 05:37 authored by KB Nguyen

SequenceMatch Revisiting the design of weak-strong augmentations for Semi-supervised learning

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DOI - Is version of https://doi.org/10.1109/WACV57701.2024.00017

Location

Waikoloa, Hawaii

Open access

No

Language

eng

Publication classification

E1.1 Full written paper - refereed

Volume

00

Pagination

96-105

Start date

2024-01-03

End date

2024-01-08

ISBN-13

9798350318920

Title of proceedings

WACV 2024 : Proceedings 2024 IEEE Winter Conference on Applications of Computer Vision

Event

Applications of Computer Vision. Conference (2024 : Waikoloa, Hawaii)

Publisher

IEEE

Place of publication

Piscataway, N.J.

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SequenceMatch Revisiting the design of weak-strong augmentations for Semi-supervised learning

History

Related Materials

Location

Open access

Language

Publication classification

Volume

Pagination

Start date

End date

ISBN-13

Title of proceedings

Event

Publisher

Place of publication

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Keywords

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