3 citations · 5 across the 7 of their papers we have counts for
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cs.CV2023
Harnessing the Power of Multi-Lingual Datasets for Pre-training: Towards Enhancing Text Spotting Performance
Alloy Das, Sanket Biswas, Ayan Banerjee +3
The adaptation capability to a wide range of domains is crucial for scene text spotting models when deployed to real-world conditions. However, existing state-of-the-art (SOTA) app…
cs.CV2023★ 2 cited
Diving into the Depths of Spotting Text in Multi-Domain Noisy Scenes
Alloy Das, Sanket Biswas, Umapada Pal +1
When used in a real-world noisy environment, the capacity to generalize to multiple domains is essential for any autonomous scene text spotting system. However, existing state-of-t…
cs.CV2023★ 3 cited
FASTER: A Font-Agnostic Scene Text Editing and Rendering Framework
Alloy Das, Sanket Biswas, Prasun Roy +5
Scene Text Editing (STE) is a challenging research problem, that primarily aims towards modifying existing texts in an image while preserving the background and the font style of t…