51 citations · 78 across the 16 of their papers we have counts for
5 papers · 1 filter
A Meta-Learning Framework for Generalized Zero-Shot Learning
Vinay Kumar Verma, Dhanajit Brahma, Piyush Rai
Learning to classify unseen class samples at test time is popularly referred to as zero-shot learning (ZSL). If test samples can be from training (seen) as well as unseen classes,…
A Generative Framework for Zero-Shot Learning with Adversarial Domain Adaptation
Varun Khare, Divyat Mahajan, Homanga Bharadhwaj +2
We present a domain adaptation based generative framework for zero-shot learning. Our framework addresses the problem of domain shift between the seen and unseen class distribution…
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…
Generative Model for Zero-Shot Sketch-Based Image Retrieval
Vinay Kumar Verma, Aakansha Mishra, Ashish Mishra +1
We present a probabilistic model for Sketch-Based Image Retrieval (SBIR) where, at retrieval time, we are given sketches from novel classes, that were not present at training time.…
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…