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Found 6 papers, 3 papers with code
TRACE: Table Reconstruction Aligned to Corner and Edges
In this work, we analyze the natural characteristics of a table, where a table is composed of cells and each cell is made up of borders consisting of edges.
DEER: Detection-agnostic End-to-End Recognizer for Scene Text Spotting
Since only a single point is required to recognize the text, the proposed method enables text spotting without an arbitrarily-shaped detector or bounding polygon annotations.
Ranked #7 on
Text Spotting
on Total-Text
Character Region Attention For Text Spotting
This architecture is formed by utilizing detection outputs in the recognizer and propagating the recognition loss through the detection stage.
CLEval: Character-Level Evaluation for Text Detection and Recognition Tasks
We believe that our metrics can play a key role in developing and analyzing state-of-the-art text detection and recognition methods.
TedEval: A Fair Evaluation Metric for Scene Text Detectors
Despite the recent success of scene text detection methods, common evaluation metrics fail to provide a fair and reliable comparison among detectors.
Character Region Awareness for Text Detection
Scene text detection methods based on neural networks have emerged recently and have shown promising results.
Ranked #1 on
Scene Text Detection
on ICDAR 2013
(Precision metric)
