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20192023
most citedDEER: Detection-agnostic End-to-End Recognizer for Scene Text Spotting

6 citations · 11 across the 4 of their papers we have counts for

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5 papers · 1 filter

cs.CV20232 cited

TRACE: Table Reconstruction Aligned to Corner and Edges

Youngmin Baek, Daehyun Nam, Jaeheung Surh +2

A table is an object that captures structured and informative content within a document, and recognizing a table in an image is challenging due to the complexity and variety of tab…

cs.CV20231 cited

Towards Unified Scene Text Spotting based on Sequence Generation

Taeho Kil, Seonghyeon Kim, Sukmin Seo +2

Sequence generation models have recently made significant progress in unifying various vision tasks. Although some auto-regressive models have demonstrated promising results in end…

cs.CV20226 cited

DEER: Detection-agnostic End-to-End Recognizer for Scene Text Spotting

Seonghyeon Kim, Seung Shin, Yoonsik Kim +6

Recent end-to-end scene text spotters have achieved great improvement in recognizing arbitrary-shaped text instances. Common approaches for text spotting use region of interest poo…

cs.CV20202 cited

Few-shot Compositional Font Generation with Dual Memory

Junbum Cha, Sanghyuk Chun, Gayoung Lee +3

Generating a new font library is a very labor-intensive and time-consuming job for glyph-rich scripts. Despite the remarkable success of existing font generation methods, they have…

cs.CV2019

On Recognizing Texts of Arbitrary Shapes with 2D Self-Attention

Junyeop Lee, Sungrae Park, Jeonghun Baek +3

Scene text recognition (STR) is the task of recognizing character sequences in natural scenes. While there have been great advances in STR methods, current methods still fail to re…