Hansang Cho

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 15

Top Topics

Visual Inspection

Manifold Regularization

Labeled Instances

Unlabeled Samples

Top Venues

Eng. Appl. Artif. Intell.

Publications

Hyeongdong Ban, Daehwan Kim, Hyungmin Kim, Hansang Cho
Enhancing Anomaly Detection Performance in Manufacturing Industry through Improved Alignment Algorithms. ICEIC (2024)
Hyungmin Kim, Donghun Kim, Pyunghwan Ahn, Sungho Suh, Hansang Cho, Junmo Kim
ContextMix: A context-aware data augmentation method for industrial visual inspection systems. Eng. Appl. Artif. Intell. 131 (2024)
Hyungmin Kim, Donghun Kim, Pyunghwan Ahn, Sungho Suh, Hansang Cho, Junmo Kim
ContextMix: A context-aware data augmentation method for industrial visual inspection systems. CoRR (2024)
Jiayue Wang, Hyuk-Jae Lee, Hansang Cho, Byungsoo Kang, Hyunmin Jung
Tri-Directional Decoder for Edge Discontinuity Classification. ISCAS (2024)
Hyungmin Kim, Sungho Suh, Sunghyun Baek, Daehwan Kim, Daun Jeong, Hansang Cho, Junmo Kim
AI-KD: Adversarial learning and Implicit regularization for self-Knowledge Distillation. Knowl. Based Syst. 293 (2024)
Subin Choi, Hyungmin Kim, Hansang Cho
Defect Detection in the Manufacturing Domain Using Product Design Data and Self-Knowledge Distillation. ICEIC (2024)
Hyungmin Kim, Sungho Suh, Daehwan Kim, Daun Jeong, Hansang Cho, Junmo Kim
Proxy Anchor-based Unsupervised Learning for Continuous Generalized Category Discovery. ICCV (2023)
Hyungmin Kim, Sungho Suh, Daehwan Kim, Daun Jeong, Hansang Cho, Junmo Kim
Proxy Anchor-based Unsupervised Learning for Continuous Generalized Category Discovery. CoRR (2023)
Daehwan Kim, Daun Jeong, Hyungmin Kim, Kibong Chong, Seungryong Kim, Hansang Cho
Spatial Contrastive Learning for Anomaly Detection and Localization. IEEE Access 10 (2022)
Jiwon Kim, Kwangrok Ryoo, Junyoung Seo, Gyuseong Lee, Daehwan Kim, Hansang Cho, Seungryong Kim
Semi-Supervised Learning of Semantic Correspondence with Pseudo-Labels. CoRR (2022)
Daehwan Kim, Kwangrok Ryoo, Hansang Cho, Seungryong Kim
SplitNet: Learnable Clean-Noisy Label Splitting for Learning with Noisy Labels. CoRR (2022)
Hyungmin Kim, Sungho Suh, Sunghyun Baek, Daehwan Kim, Daun Jeong, Hansang Cho, Junmo Kim
AI-KD: Adversarial learning and Implicit regularization for self-Knowledge Distillation. CoRR (2022)
Jiwon Kim, Kwangrok Ryoo, Junyoung Seo, Gyuseong Lee, Daehwan Kim, Hansang Cho, Seungryong Kim
Semi-Supervised Learning of Semantic Correspondence with Pseudo-Labels. CVPR (2022)
Jiwon Kim, Kwangrok Ryoo, Gyuseong Lee, Seokju Cho, Junyoung Seo, Daehwan Kim, Hansang Cho, Seungryong Kim
AggMatch: Aggregating Pseudo Labels for Semi-Supervised Learning. CoRR (2022)
Sungho Suh, Hansang Cho, Donglok Kim
Robust Registration Method of 3D Point Cloud Data. ICPRAM (2016)