48 citations · 68 across the 11 of their papers we have counts for
22 papers · 1 filter
AdaNorm: Adaptive Gradient Norm Correction based Optimizer for CNNs
Shiv Ram Dubey, Satish Kumar Singh, Bidyut Baran Chaudhuri
The stochastic gradient descent (SGD) optimizers are generally used to train the convolutional neural networks (CNNs). In recent years, several adaptive momentum based SGD optimize…
T2CI-GAN: Text to Compressed Image generation using Generative Adversarial Network
Bulla Rajesh, Nandakishore Dusa, Mohammed Javed +2
The problem of generating textual descriptions for the visual data has gained research attention in the recent years. In contrast to that the problem of generating visual data from…
HRel: Filter Pruning based on High Relevance between Activation Maps and Class Labels
CH Sarvani, Mrinmoy Ghorai, Shiv Ram Dubey +1
This paper proposes an Information Bottleneck theory based filter pruning method that uses a statistical measure called Mutual Information (MI). The MI between filters and class la…
Joint Triplet Autoencoder for Histopathological Colon Cancer Nuclei Retrieval
Satya Rajendra Singh, Shiv Ram Dubey, Shruthi MS +2
Deep learning has shown a great improvement in the performance of visual tasks. Image retrieval is the task of extracting the visually similar images from a database for a query im…
Color Channel Perturbation Attacks for Fooling Convolutional Neural Networks and A Defense Against Such Attacks
Jayendra Kantipudi, Shiv Ram Dubey, Soumendu Chakraborty
The Convolutional Neural Networks (CNNs) have emerged as a very powerful data dependent hierarchical feature extraction method. It is widely used in several computer vision problem…
A Decade Survey of Content Based Image Retrieval using Deep Learning
Shiv Ram Dubey
The content based image retrieval aims to find the similar images from a large scale dataset against a query image. Generally, the similarity between the representative features of…