5 citations · 6 across the 4 of their papers we have counts for
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cs.CV2024
SPACE: SPAtial-aware Consistency rEgularization for anomaly detection in Industrial applications
Daehwan Kim, Hyungmin Kim, Daun Jeong +2
In this paper, we propose SPACE, a novel anomaly detection methodology that integrates a Feature Encoder (FE) into the structure of the Student-Teacher method. The proposed method…
cs.CV2022★ 5 cited
ConMatch: Semi-Supervised Learning with Confidence-Guided Consistency Regularization
Jiwon Kim, Youngjo Min, Daehwan Kim +4
We present a novel semi-supervised learning framework that intelligently leverages the consistency regularization between the model's predictions from two strongly-augmented views…
cs.CV2022★ 1 cited
Semi-Supervised Learning of Semantic Correspondence with Pseudo-Labels
Jiwon Kim, Kwangrok Ryoo, Junyoung Seo +4
Establishing dense correspondences across semantically similar images remains a challenging task due to the significant intra-class variations and background clutters. Traditionall…