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20142023
most citedTextBoxes: A Fast Text Detector with a Single Deep Neural Network

445 citations · 771 across the 24 of their papers we have counts for

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15 papers · 1 filter

cs.CV2025

MonkeyOCR: Document Parsing with a Structure-Recognition-Relation Triplet Paradigm

Zhang Li, Yuliang Liu, Qiang Liu +8

We introduce MonkeyOCR, a document parsing model that advances the state of the art by leveraging a Structure-Recognition-Relation (SRR) triplet paradigm. This design simplifies wh…

cs.CV202314 cited

Side Adapter Network for Open-Vocabulary Semantic Segmentation

Mengde Xu, Zheng Zhang, Fangyun Wei +2

This paper presents a new framework for open-vocabulary semantic segmentation with the pre-trained vision-language model, named Side Adapter Network (SAN). Our approach models the…

cs.CV20233 cited

CAPE: Camera View Position Embedding for Multi-View 3D Object Detection

Kaixin Xiong, Shi Gong, Xiaoqing Ye +5

In this paper, we address the problem of detecting 3D objects from multi-view images. Current query-based methods rely on global 3D position embeddings (PE) to learn the geometric…

cs.CV20222 cited

Toward Understanding WordArt: Corner-Guided Transformer for Scene Text Recognition

Xudong Xie, Ling Fu, Zhifei Zhang +2

Artistic text recognition is an extremely challenging task with a wide range of applications. However, current scene text recognition methods mainly focus on irregular text while h…

cs.CV20224 cited

Optimal Boxes: Boosting End-to-End Scene Text Recognition by Adjusting Annotated Bounding Boxes via Reinforcement Learning

Jingqun Tang, Wenming Qian, Luchuan Song +3

Text detection and recognition are essential components of a modern OCR system. Most OCR approaches attempt to obtain accurate bounding boxes of text at the detection stage, which…

cs.CV20224 cited

When Counting Meets HMER: Counting-Aware Network for Handwritten Mathematical Expression Recognition

Bohan Li, Ye Yuan, Dingkang Liang +5

Recently, most handwritten mathematical expression recognition (HMER) methods adopt the encoder-decoder networks, which directly predict the markup sequences from formula images wi…