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Kwangrok Ryoo

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Universal Noise Annotation: Unveiling the Impact of Noisy annotation on Object Detection

Dec 21, 2023
Kwangrok Ryoo, Yeonsik Jo, Seungjun Lee, Mira Kim, Ahra Jo, Seung Hwan Kim, Seungryong Kim, Soonyoung Lee

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SplitNet: Learnable Clean-Noisy Label Splitting for Learning with Noisy Labels

Nov 20, 2022
Daehwan Kim, Kwangrok Ryoo, Hansang Cho, Seungryong Kim

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3D GAN Inversion with Pose Optimization

Oct 17, 2022
Jaehoon Ko, Kyusun Cho, Daewon Choi, Kwangrok Ryoo, Seungryong Kim

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Towards Flexible Inductive Bias via Progressive Reparameterization Scheduling

Oct 04, 2022
Yunsung Lee, Gyuseong Lee, Kwangrok Ryoo, Hyojun Go, Jihye Park, Seungryong Kim

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ConMatch: Semi-Supervised Learning with Confidence-Guided Consistency Regularization

Aug 18, 2022
Jiwon Kim, Youngjo Min, Daehwan Kim, Gyuseong Lee, Junyoung Seo, Kwangrok Ryoo, Seungryong Kim

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Semi-Supervised Learning of Semantic Correspondence with Pseudo-Labels

Apr 05, 2022
Jiwon Kim, Kwangrok Ryoo, Junyoung Seo, Gyuseong Lee, Daehwan Kim, Hansang Cho, Seungryong Kim

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AggMatch: Aggregating Pseudo Labels for Semi-Supervised Learning

Jan 25, 2022
Jiwon Kim, Kwangrok Ryoo, Gyuseong Lee, Seokju Cho, Junyoung Seo, Daehwan Kim, Hansang Cho, Seungryong Kim

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