Weakly-Supervised Text Instance Segmentation-Reference-Cited by-同舟云学术

Weakly-Supervised Text Instance Segmentation

Published:2023-10-26 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 31st ACM International Conference on Multimedia
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Author:

Zu Xinyan¹^ORCID,Yu Haiyang¹^ORCID,Li Bin¹^ORCID,Xue Xiangyang¹^ORCID

Affiliation:

1. Fudan University, Shanghai, China

Funder

Science and Technology Commission of Shanghai Municipality

National Natural Science Foundation of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3581783.3612243

Reference42 articles.

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2. Nikita Araslanov and Stefan Roth. 2020. Single-stage Semantic Segmentation from Image Labels. In CVPR. 4253--4262. Nikita Araslanov and Stefan Roth. 2020. Single-stage Semantic Segmentation from Image Labels. In CVPR. 4253--4262.

3. Rowel Atienza . 2021. Vision Transformer for Fast and Efficient Scene Text Recognition . In ICDAR. Springer , 319--334. Rowel Atienza. 2021. Vision Transformer for Fast and Efficient Scene Text Recognition. In ICDAR. Springer, 319--334.

4. Ali Furkan Biten Ruben Tito Andres Mafla Lluis Gomez Marcc al Rusinol Ernest Valveny CV Jawahar and Dimosthenis Karatzas. 2019. Scene Text Visual Question Answering. In ICCV. 4291--4301. Ali Furkan Biten Ruben Tito Andres Mafla Lluis Gomez Marcc al Rusinol Ernest Valveny CV Jawahar and Dimosthenis Karatzas. 2019. Scene Text Visual Question Answering. In ICCV. 4291--4301.

5. COCO_TS Dataset: Pixel–Level Annotations Based on Weak Supervision for Scene Text Segmentation

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