1 citations · 2 across the 6 of their papers we have counts for
4 papers · 1 filter
CPWC: Contextual Point Wise Convolution for Object Recognition
Pratik Mazumder, Pravendra Singh, Vinay Namboodiri
Convolutional layers are a major driving force behind the successes of deep learning. Pointwise convolution (PWC) is a 1x1 convolutional filter that is primarily used for parameter…
Play and Prune: Adaptive Filter Pruning for Deep Model Compression
Pravendra Singh, Vinay Kumar Verma, Piyush Rai +1
While convolutional neural networks (CNN) have achieved impressive performance on various classification/recognition tasks, they typically consist of a massive number of parameters…
HetConv: Heterogeneous Kernel-Based Convolutions for Deep CNNs
Pravendra Singh, Vinay Kumar Verma, Piyush Rai +1
We present a novel deep learning architecture in which the convolution operation leverages heterogeneous kernels. The proposed HetConv (Heterogeneous Kernel-Based Convolution) redu…
Accuracy Booster: Performance Boosting using Feature Map Re-calibration
Pravendra Singh, Pratik Mazumder, Vinay P. Namboodiri
Convolution Neural Networks (CNN) have been extremely successful in solving intensive computer vision tasks. The convolutional filters used in CNNs have played a major role in this…