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20192021
most citedA Simple Approach to Image Tilt Correction with Self-Attention MobileNet for Smartphones

1 citations · 1 across the 1 of their papers we have counts for

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cs.CV20211 cited

A Simple Approach to Image Tilt Correction with Self-Attention MobileNet for Smartphones

Siddhant Garg, Debi Prasanna Mohanty, Siva Prasad Thota +1

The main contributions of our work are two-fold. First, we present a Self-Attention MobileNet, called SA-MobileNet Network that can model long-range dependencies between the image…

cs.CV2021

On-Device Content Moderation

Anchal Pandey, Sukumar Moharana, Debi Prasanna Mohanty +3

With the advent of internet, not safe for work(NSFW) content moderation is a major problem today. Since,smartphones are now part of daily life of billions of people,it becomes even…

cs.CV2021

ScreenSeg: On-Device Screenshot Layout Analysis

Manoj Goyal, Rachit S Munjal, Sukumar Moharana +3

We propose a novel end-to-end solution that performs a Hierarchical Layout Analysis of screenshots and document images on resource constrained devices like mobilephones. Our approa…

cs.CV2021

TeLCoS: OnDevice Text Localization with Clustering of Script

Rachit S Munjal, Manoj Goyal, Rutika Moharir +1

Recent research in the field of text localization in a resource constrained environment has made extensive use of deep neural networks. Scene text localization and recognition on l…

cs.CV2020

On-device Filtering of Social Media Images for Efficient Storage

Dhruval Jain, DP Mohanty, Sanjeev Roy +2

Artificially crafted images such as memes, seasonal greetings, etc are flooding the social media platforms today. These eventually start occupying a lot of internal memory of smart…

cs.CV2020

On- Device Information Extraction from Screenshots in form of tags

Sumit Kumar, Gopi Ramena, Manoj Goyal +4

We propose a method to make mobile screenshots easily searchable. In this paper, we present the workflow in which we: 1) preprocessed a collection of screenshots, 2) identified scr…