Search Results for author: Arun D Prabhu

Found 5 papers, 1 papers with code

On-Device Spatial Attention based Sequence Learning Approach for Scene Text Script Identification

no code implementations1 Dec 2021 Rutika Moharir, Arun D Prabhu, Sukumar Moharana, Gopi Ramena, Rachit S Munjal

Combining the spatial attention mechanism with the residue convolutional blocks, we are able to enhance the performance of the baseline CNN to build an end-to-end trainable network for script identification.

Optical Character Recognition (OCR)

STRIDE : Scene Text Recognition In-Device

no code implementations17 May 2021 Rachit S Munjal, Arun D Prabhu, Nikhil Arora, Sukumar Moharana, Gopi Ramena

We deploy the system on-device with an inference speed of 2. 44 ms per word on the Exynos 990 chipset device and achieve an accuracy of 88. 4\% on ICDAR-13 dataset.

Optical Character Recognition Optical Character Recognition (OCR) +1

Codeswitched Sentence Creation using Dependency Parsing

1 code implementation5 Dec 2020 Dhruval Jain, Arun D Prabhu, Shubham Vatsal, Gopi Ramena, Naresh Purre

Codeswitching has become one of the most common occurrences across multilingual speakers of the world, especially in countries like India which encompasses around 23 official languages with the number of bilingual speakers being around 300 million.

Dependency Parsing Sentence

On-Device Sentence Similarity for SMS Dataset

no code implementations4 Dec 2020 Arun D Prabhu, Nikhil Arora, Shubham Vatsal, Gopi Ramena, Sukumar Moharana, Naresh Purre

Determining the sentence similarity between Short Message Service (SMS) texts/sentences plays a significant role in mobile device industry.

Keyword Extraction POS +4

On-Device Text Image Super Resolution

no code implementations20 Nov 2020 Dhruval Jain, Arun D Prabhu, Gopi Ramena, Manoj Goyal, Debi Prasanna Mohanty, Sukumar Moharana, Naresh Purre

Recent research on super-resolution (SR) has witnessed major developments with the advancements of deep convolutional neural networks.

Cloud Computing Image Super-Resolution +1

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