75 citations · 144 across the 19 of their papers we have counts for
6 papers · 1 filter
Multidomain Document Layout Understanding using Few Shot Object Detection
Pranaydeep Singh, Srikrishna Varadarajan, Ankit Narayan Singh +1
We try to address the problem of document layout understanding using a simple algorithm which generalizes across multiple domains while training on just few examples per domain. We…
Example Mining for Incremental Learning in Medical Imaging
Pratyush Kumar, Muktabh Mayank Srivastava
Incremental Learning is well known machine learning approach wherein the weights of the learned model are dynamically and gradually updated to generalize on new unseen data without…
Binarizer at SemEval-2018 Task 3: Parsing dependency and deep learning for irony detection
Nishant Nikhil, Muktabh Mayank Srivastava
In this paper, we describe the system submitted for the SemEval 2018 Task 3 (Irony detection in English tweets) Subtask A by the team Binarizer. Irony detection is a key task for m…
Weakly Supervised Object Localization on grocery shelves using simple FCN and Synthetic Dataset
Srikrishna Varadarajan, Muktabh Mayank Srivastava
We propose a weakly supervised method using two algorithms to predict object bounding boxes given only an image classification dataset. First algorithm is a simple Fully Convolutio…
Visual aesthetic analysis using deep neural network: model and techniques to increase accuracy without transfer learning
Muktabh Mayank Srivastava, Sonaal Kant
We train a deep Convolutional Neural Network (CNN) from scratch for visual aesthetic analysis in images and discuss techniques we adopt to improve the accuracy. We avoid the preval…
Towards Automated Tuberculosis detection using Deep Learning
Sonaal Kant, Muktabh Mayank Srivastava
Tuberculosis(TB) in India is the world's largest TB epidemic. TB leads to 480,000 deaths every year. Between the years 2006 and 2014, Indian economy lost US$340 Billion due to TB.…