4 citations · 5 across the 3 of their papers we have counts for
4 papers
Efficient Video Classification Using Fewer Frames
Shweta Bhardwaj, Mukundhan Srinivasan, Mitesh M. Khapra
Recently,there has been a lot of interest in building compact models for video classification which have a small memory footprint (<1 GB). While these models are compact, they typi…
Studying the Plasticity in Deep Convolutional Neural Networks using Random Pruning
Deepak Mittal, Shweta Bhardwaj, Mitesh M. Khapra +1
Recently there has been a lot of work on pruning filters from deep convolutional neural networks (CNNs) with the intention of reducing computations.The key idea is to rank the filt…
I Have Seen Enough: A Teacher Student Network for Video Classification Using Fewer Frames
Shweta Bhardwaj, Mitesh M. Khapra
Over the past few years, various tasks involving videos such as classification, description, summarization and question answering have received a lot of attention. Current models f…
Recovering from Random Pruning: On the Plasticity of Deep Convolutional Neural Networks
Deepak Mittal, Shweta Bhardwaj, Mitesh M. Khapra +1
Recently there has been a lot of work on pruning filters from deep convolutional neural networks (CNNs) with the intention of reducing computations. The key idea is to rank the fil…