5 citations · 8 across the 3 of their papers we have counts for
5 papers
Learning Gaussian Maps for Dense Object Detection
Sonaal Kant
Object detection is a famous branch of research in computer vision, many state of the art object detection algorithms have been introduced in the recent past, but how good are thos…
Benchmark for Generic Product Detection: A Low Data Baseline for Dense Object Detection
Srikrishna Varadarajan, Sonaal Kant, Muktabh Mayank Srivastava
Object detection in densely packed scenes is a new area where standard object detectors fail to train well. Dense object detectors like RetinaNet trained on large and dense dataset…
LeukoNet: DCT-based CNN architecture for the classification of normal versus Leukemic blasts in B-ALL Cancer
Simmi Mourya, Sonaal Kant, Pulkit Kumar +2
Acute lymphoblastic leukemia (ALL) constitutes approximately 25% of the pediatric cancers. In general, the task of identifying immature leukemic blasts from normal cells under the…
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.…