Search Results for author: Seung Hwan Kim

Found 6 papers, 3 papers with code

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

no code implementations27 Sep 2022 Janghyeon Lee, Jongsuk Kim, Hyounguk Shon, Bumsoo Kim, Seung Hwan Kim, Honglak Lee, Junmo Kim

Pre-training vision-language models with contrastive objectives has shown promising results that are both scalable to large uncurated datasets and transferable to many downstream applications.

Factors that affect the technological transition of firms toward the industry 4.0 technologies

no code implementations6 Sep 2022 Seung Hwan Kim, Jeong hwan Jeon, Anwar Aridi, Bogang Jun

Using the technology space of firms, we can identify firms that successfully develop a new industry 4. 0 technology and examine whether their accumulated capabilities in their previous technology domains positively affect their technological diversification and which factors play a critical role in their transition towards industry 4. 0.

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

no code implementations17 Aug 2022 Hyounguk Shon, Janghyeon Lee, Seung Hwan Kim, Junmo Kim

We show that this allows us to design a linear model where quadratic parameter regularization method is placed as the optimal continual learning policy, and at the same time enjoying the high performance of neural networks.

class-incremental learning Image Classification +1

Enriched CNN-Transformer Feature Aggregation Networks for Super-Resolution

1 code implementation15 Mar 2022 Jinsu Yoo, TaeHoon Kim, Sihaeng Lee, Seung Hwan Kim, Honglak Lee, Tae Hyun Kim

Recent transformer-based super-resolution (SR) methods have achieved promising results against conventional CNN-based methods.

Image Restoration Super-Resolution

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