Search Results for author: Utpal Garain

Found 17 papers, 6 papers with code

Pick-Object-Attack: Type-Specific Adversarial Attack for Object Detection

1 code implementation5 Jun 2020 Omid Mohamad Nezami, Akshay Chaturvedi, Mark Dras, Utpal Garain

We specifically aim to attack the widely used Faster R-CNN by changing the predicted label for a particular object in an image: where prior work has targeted one specific object (a stop sign), we generalise to arbitrary objects, with the key challenge being the need to change the labels of all bounding boxes for all instances of that object type.

Adversarial Attack Image Captioning +2

Exploring the Robustness of NMT Systems to Nonsensical Inputs

no code implementations3 Aug 2019 Akshay Chaturvedi, Abijith KP, Utpal Garain

In this paper, we study the behaviour of NMT systems when multiple changes are made to the source sentence.

Adversarial Attack Machine Translation

Mimic and Fool: A Task Agnostic Adversarial Attack

1 code implementation11 Jun 2019 Akshay Chaturvedi, Utpal Garain

Keeping this in mind, we propose Mimic and Fool, a task agnostic adversarial attack.

Adversarial Attack Image Captioning +2

CapsDeMM: Capsule network for Detection of Munro's Microabscess in skin biopsy images

1 code implementation20 Aug 2018 Anabik Pal, Akshay Chaturvedi, Utpal Garain, Aditi Chandra, Raghunath Chatterjee, Swapan Senapati

This paper presents an approach for automatic detection of Munro's Microabscess in stratum corneum (SC) of human skin biopsy in order to realize a machine assisted diagnosis of Psoriasis.

General Classification

Skin disease identification from dermoscopy images using deep convolutional neural network

1 code implementation24 Jul 2018 Anabik Pal, Sounak Ray, Utpal Garain

In this paper, a deep neural network based ensemble method is experimented for automatic identification of skin disease from dermoscopic images.

Automation of Feature Engineering for IoT Analytics

no code implementations13 Jul 2017 Snehasis Banerjee, Tanushyam Chattopadhyay, Arpan Pal, Utpal Garain

Several pattern recognition principles and state of art (SoA) ML techniques are followed to design the overall approach for the proposed automation.

Decision Making Feature Engineering +1

Towards Wide Learning: Experiments in Healthcare

1 code implementation17 Dec 2016 Snehasis Banerjee, Tanushyam Chattopadhyay, Swagata Biswas, Rohan Banerjee, Anirban Dutta Choudhury, Arpan Pal, Utpal Garain

In this paper, a Wide Learning architecture is proposed that attempts to automate the feature engineering portion of the machine learning (ML) pipeline.

Classification Emotion Classification +2

A Neural Lemmatizer for Bengali

no code implementations LREC 2016 Abhisek Chakrabarty, Akshay Chaturvedi, Utpal Garain

Given a word along with its contextual neighbours as input, the model is designed to produce the lemma of the concerned word as output.

Lemmatization

CRF-based Named Entity Recognition @ICON 2013

no code implementations29 Sep 2014 Arjun Das, Utpal Garain

NER in Bengali and Hindi finds accuracy (F measure) of 87% and 79%, respectively.

Named Entity Recognition NER

Machine Assisted Authentication of Paper Currency: an Experiment on Indian Banknotes

no code implementations2 Jan 2014 Ankush Roy, Biswajit Halder, Utpal Garain, David S. Doermann

Real forensic samples are involved in the experiment that shows a high precision machine can be developed for authentication of paper money.

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