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researcher

Seunghyun Lee

Inha University

10 papers hereh-index 121.3k citations45 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author5
  • middle author5

Across the 10 of 10 papers where every author was matched, so the position is known.

fields
  • cs.LG4
  • cs.CV3
  • cond-mat.mes-hall1
  • cond-mat.mtrl-sci1
  • stat.ME1
affiliations
  • Inha University
HomepageORCID 0000-0001-7139-1764
same name
  • Seunghyun Lee — 9 papers, h 7
  • Seunghyun Lee — 9 papers, h 2
  • Seunghyun Lee — 8 papers, h 11
  • Seunghyun Lee — 7 papers, h 10
  • Seunghyun Lee — 5 papers, h 4
  • Seunghyun Lee — 4 papers, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20122023
most citedVision Transformer for Small-Size Datasets

122 citations · 289 across the 9 of their papers we have counts for

collaborators
Showing cs.CVShow all

3 papers · 1 filter

cs.CV2022★ 12 cited

CFA: Coupled-hypersphere-based Feature Adaptation for Target-Oriented Anomaly Localization

Sungwook Lee, Seunghyun Lee, Byung Cheol Song

For a long time, anomaly localization has been widely used in industries. Previous studies focused on approximating the distribution of normal features without adaptation to a targ…

cs.CV2021★ 122 cited

Vision Transformer for Small-Size Datasets

Seung Hoon Lee, Seunghyun Lee, Byung Cheol Song

Recently, the Vision Transformer (ViT), which applied the transformer structure to the image classification task, has outperformed convolutional neural networks. However, the high…

cs.CV2021

Contextual Gradient Scaling for Few-Shot Learning

Sanghyuk Lee, Seunghyun Lee, Byung Cheol Song

Model-agnostic meta-learning (MAML) is a well-known optimization-based meta-learning algorithm that works well in various computer vision tasks, e.g., few-shot classification. MAML…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.