activity
20152022
most citedScene Text Detection via Holistic, Multi-Channel Prediction

212 citations · 413 across the 19 of their papers we have counts for

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31 papers · 1 filter

cs.CV20222 cited

Multi-Granularity Prediction for Scene Text Recognition

Peng Wang, Cheng Da, Cong Yao

Scene text recognition (STR) has been an active research topic in computer vision for years. To tackle this challenging problem, numerous innovative methods have been successively…

cs.CV20221 cited

Vision-Language Pre-Training for Boosting Scene Text Detectors

Sibo Song, Jianqiang Wan, Zhibo Yang +4

Recently, vision-language joint representation learning has proven to be highly effective in various scenarios. In this paper, we specifically adapt vision-language joint learning…

cs.CV202212 cited

Real-Time Scene Text Detection with Differentiable Binarization and Adaptive Scale Fusion

Minghui Liao, Zhisheng Zou, Zhaoyi Wan +2

Recently, segmentation-based scene text detection methods have drawn extensive attention in the scene text detection field, because of their superiority in detecting the text insta…

cs.CV20212 cited

ARTS: Eliminating Inconsistency between Text Detection and Recognition with Auto-Rectification Text Spotter

Humen Zhong, Jun Tang, Wenhai Wang +3

Recent approaches for end-to-end text spotting have achieved promising results. However, most of the current spotters were plagued by the inconsistency problem between text detecti…

cs.CV20215 cited

Facial Attribute Transformers for Precise and Robust Makeup Transfer

Zhaoyi Wan, Haoran Chen, Jielei Zhang +3

In this paper, we address the problem of makeup transfer, which aims at transplanting the makeup from the reference face to the source face while preserving the identity of the sou…

cs.CV20214 cited

MOST: A Multi-Oriented Scene Text Detector with Localization Refinement

Minghang He, Minghui Liao, Zhibo Yang +6

Over the past few years, the field of scene text detection has progressed rapidly that modern text detectors are able to hunt text in various challenging scenarios. However, they m…