Search Results for author: Youngtaek Oh

Found 4 papers, 2 papers with code

Self-Sufficient Framework for Continuous Sign Language Recognition

no code implementations21 Mar 2023 Youngjoon Jang, Youngtaek Oh, Jae Won Cho, Myungchul Kim, Dong-Jin Kim, In So Kweon, Joon Son Chung

The goal of this work is to develop self-sufficient framework for Continuous Sign Language Recognition (CSLR) that addresses key issues of sign language recognition.

Pseudo Label Sign Language Recognition

Signing Outside the Studio: Benchmarking Background Robustness for Continuous Sign Language Recognition

1 code implementation1 Nov 2022 Youngjoon Jang, Youngtaek Oh, Jae Won Cho, Dong-Jin Kim, Joon Son Chung, In So Kweon

Most existing Continuous Sign Language Recognition (CSLR) benchmarks have fixed backgrounds and are filmed in studios with a static monochromatic background.

Benchmarking Disentanglement +1

DASO: Distribution-Aware Semantics-Oriented Pseudo-label for Imbalanced Semi-Supervised Learning

1 code implementation CVPR 2022 Youngtaek Oh, Dong-Jin Kim, In So Kweon

The capability of the traditional semi-supervised learning (SSL) methods is far from real-world application due to severely biased pseudo-labels caused by (1) class imbalance and (2) class distribution mismatch between labeled and unlabeled data.

imbalanced classification Pseudo Label +1

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