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researcher

Seung Shin

3 papers here

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

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CV3

identity via Semantic Scholar / OpenAlex

most citedDEER: Detection-agnostic End-to-End Recognizer for Scene Text Spotting

6 citations · 9 across the 3 of their papers we have counts for

collaborators

2 papers

cs.CV2020★ 3 cited

Character Region Attention For Text Spotting

Youngmin Baek, Seung Shin, Jeonghun Baek +4

A scene text spotter is composed of text detection and recognition modules. Many studies have been conducted to unify these modules into an end-to-end trainable model to achieve be…

cs.CV2020

CLEval: Character-Level Evaluation for Text Detection and Recognition Tasks

Youngmin Baek, Daehyun Nam, Sungrae Park +5

Despite the recent success of text detection and recognition methods, existing evaluation metrics fail to provide a fair and reliable comparison among those methods. In addition, t…

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