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Found 7 papers, 0 papers with code
A Simple Approach to Image Tilt Correction with Self-Attention MobileNet for Smartphones
With the combination of our novel approach and the architecture, we present state-of-the-art results on detecting the image tilt angle on mobile devices as compared to the MobileNetV3 model.
On-Device Content Moderation
In addition to conventional porno-graphic content moderation, we have also included semi-nudecontent moderation as it is still NSFW in a large demography. We have curated a dataset comprising of three major categories, namely nude, semi-nude and safe images.
ScreenSeg: On-Device Screenshot Layout Analysis
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.
On-Device Text Image Super Resolution
Recent research on super-resolution (SR) has witnessed major developments with the advancements of deep convolutional neural networks.
On-Device Information Extraction from SMS using Hybrid Hierarchical Classification
Cluttering of SMS inbox is one of the serious problems that users today face in the digital world where every online login, transaction, along with promotions generate multiple SMS.
An Efficient Architecture for Predicting the Case of Characters using Sequence Models
Since truecasing acts as a preprocessing step in several applications, every increment in the F1 score leads to a significant improvement in the language processing tasks.
On-Device User Intent Prediction for Context and Sequence Aware Recommendation
Through a neighborhood searching method followed by a sequence matching algorithm, we search for the most relevant node to make the prediction.
