A New Bottom-Up Path Augmentation Attention Network for Script Identification in Scene Images
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-70549-6_14
Reference39 articles.
1. Bhunia, A.K., Konwer, A., Bhunia, A.K., Bhowmick, A., Roy, P.P., Pal, U.: Script identification in natural scene image and video frames using an attention based convolutional-LSTM network. Pattern Recogn. 85, 172–184 (2019)
2. Lecture Notes in Computer Science;M Bušta,2019
3. Cheng, C., Huang, Q., Bai, X., Feng, B., Liu, W.: Patch aggregator for scene text script identification. In: 2019 International Conference on Document Analysis and Recognition (ICDAR), pp. 1077–1083. IEEE (2019)
4. Communications in Computer and Information Science;K Dutta,2021
5. Ghosh, M., Mukherjee, H., Obaidullah, S.M., Santosh, K., Das, N., Roy, K.: LWSINet: a deep learning-based approach towards video script identification. Multimedia Tools Appl. 80(19), 29095–29128 (2021)
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