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20192021
most citedAn Empirical Analysis of the Impact of Data Augmentation on Knowledge Distillation

13 citations · 13 across the 2 of their papers we have counts for

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5 papers · 1 filter

cs.CV2021

Graphhopper: Multi-Hop Scene Graph Reasoning for Visual Question Answering

Rajat Koner, Hang Li, Marcel Hildebrandt +3

Visual Question Answering (VQA) is concerned with answering free-form questions about an image. Since it requires a deep semantic and linguistic understanding of the question and t…

cs.CV2021

Active learning using weakly supervised signals for quality inspection

Antoine Cordier, Deepan Das, Pierre Gutierrez

Because manufacturing processes evolve fast, and since production visual aspect can vary significantly on a daily basis, the ability to rapidly update machine vision based inspecti…

cs.CV202013 cited

An Empirical Analysis of the Impact of Data Augmentation on Knowledge Distillation

Deepan Das, Haley Massa, Abhimanyu Kulkarni +1

Generalization Performance of Deep Learning models trained using Empirical Risk Minimization can be improved significantly by using Data Augmentation strategies such as simple tran…

cs.CV2019

Semi Supervised Phrase Localization in a Bidirectional Caption-Image Retrieval Framework

Deepan Das, Noor Mohammed Ghouse, Shashank Verma +1

We introduce a novel deep neural network architecture that links visual regions to corresponding textual segments including phrases and words. To accomplish this task, our architec…

cs.CV2019

Unsupervised Anomalous Trajectory Detection for Crowded Scenes

Deepan Das, Deepak Mishra

We present an improved clustering based, unsupervised anomalous trajectory detection algorithm for crowded scenes. The proposed work is based on four major steps, namely, extractio…