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ReConPatch : Contrastive Patch Representation Learning for Industrial Anomaly Detection


May 26, 2023
Jeeho Hyun, Sangyun Kim, Giyoung Jeon, Seung Hwan Kim, Kyunghoon Bae, Byung Jun Kang

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* 10 pages, 4 figures 

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Significantly improving zero-shot X-ray pathology classification via fine-tuning pre-trained image-text encoders


Dec 14, 2022
Jongseong Jang, Daeun Kyung, Seung Hwan Kim, Honglak Lee, Kyunghoon Bae, Edward Choi

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Large-Scale Bidirectional Training for Zero-Shot Image Captioning


Nov 15, 2022
Taehoon Kim, Mark Marsden, Pyunghwan Ahn, Sangyun Kim, Sihaeng Lee, Alessandra Sala, Seung Hwan Kim

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* Arxiv Preprint. Work in progress 

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UniCLIP: Unified Framework for Contrastive Language-Image Pre-training


Sep 27, 2022
Janghyeon Lee, Jongsuk Kim, Hyounguk Shon, Bumsoo Kim, Seung Hwan Kim, Honglak Lee, Junmo Kim

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* Neural Information Processing Systems (NeurIPS) 2022 

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DLCFT: Deep Linear Continual Fine-Tuning for General Incremental Learning


Aug 17, 2022
Hyounguk Shon, Janghyeon Lee, Seung Hwan Kim, Junmo Kim

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* European Conference on Computer Vision (ECCV) 2022 

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Rich CNN-Transformer Feature Aggregation Networks for Super-Resolution


Mar 16, 2022
Jinsu Yoo, Taehoon Kim, Sihaeng Lee, Seung Hwan Kim, Honglak Lee, Tae Hyun Kim

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* 19 pages, 11 figures, preprint 

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L-Verse: Bidirectional Generation Between Image and Text


Dec 03, 2021
Taehoon Kim, Gwangmo Song, Sihaeng Lee, Sangyun Kim, Yewon Seo, Soonyoung Lee, Seung Hwan Kim, Honglak Lee, Kyunghoon Bae

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