Temporally-aware Convolutional Block Attention Module for Video Text Detection-Reference-Cited by-同舟云学术

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Temporally-aware Convolutional Block Attention Module for Video Text Detection

Published:2021-10-17 Issue: Volume: Page:
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Container-title:2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
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Author:

Fujitake Masato,Ge Hongpeng

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9658572/9658575/09658799.pdf?arnumber=9658799

Reference30 articles.

1. EAST: An Efficient and Accurate Scene Text Detector

2. Spatio-Temporal Attention Model for Foreground Detection in Cross-Scene Surveillance Videos

3. FOTS: Fast Oriented Text Spotting with a Unified Network

4. Snoopertrack: Text detection and tracking for outdoor videos

5. Pytorch: An imperative style, high-performance deep learning library;paszke;NIPS,2019

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1. Video text rediscovery: Predicting and tracking text across complex scenes;Computational Intelligence;2024-06

2. RL-LOGO: Deep Reinforcement Learning Localization for Logo Recognition;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

3. DTrOCR: Decoder-only Transformer for Optical Character Recognition;2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV);2024-01-03

4. JSTR: Judgment Improves Scene Text Recognition;Lecture Notes in Networks and Systems;2024

5. DiffusionSTR: Diffusion Model for Scene Text Recognition;2023 IEEE International Conference on Image Processing (ICIP);2023-10-08

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