BTS: A Bi-lingual Benchmark for Text Segmentation in the Wild

Author:

Xu Xixi1,Qi Zhongang1,Ma Jianqi2,Zhang Honglun1,Shan Ying1,Qie Xiaohu3

Affiliation:

1. ARC Lab

2. The Hong Kong Polytechnic University

3. Tencent PCG

Publisher

IEEE

Reference73 articles.

1. EAST: An Efficient and Accurate Scene Text Detector

2. Psanet: Point-wise spatial attention network for scene parsing;zhao;European Conference on Computer Vision,0

3. Pyramid scene parsing network;zhao;IEEE Computer Society,2016

4. Ssd: Single shot multibox detector;liu;European Conference on Computer Vision,0

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1. Adaptive Scaling and Refined Pyramid Feature Fusion Network for Scene Text Segmentation;Lecture Notes in Computer Science;2024

2. Efficient Scene Text Segmentation via Gate Mechanism and Multi-Scale Feature Fusion;2023 3rd International Conference on Electronic Information Engineering and Computer Communication (EIECC);2023-12-22

3. DELIGHT-Net: DEep and LIGHTweight network to segment Indian text at word level from wild scenic images;International Journal of Multimedia Information Retrieval;2023-08-24

4. TextFormer: Component-aware Text Segmentation with Transformer;2023 IEEE International Conference on Multimedia and Expo (ICME);2023-07

5. Looking from a Higher-Level Perspective: Attention and Recognition Enhanced Multi-scale Scene Text Segmentation;Computer Vision – ACCV 2022;2023

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