1 citations · 2 across the 6 of their papers we have counts for
3 papers · 1 filter
Multi-layer Pruning Framework for Compressing Single Shot MultiBox Detector
Pravendra Singh, Manikandan R, Neeraj Matiyali +1
We propose a framework for compressing state-of-the-art Single Shot MultiBox Detector (SSD). The framework addresses compression in the following stages: Sparsity Induction, Filter…
Stability Based Filter Pruning for Accelerating Deep CNNs
Pravendra Singh, Vinay Sameer Raja Kadi, Nikhil Verma +1
Convolutional neural networks (CNN) have achieved impressive performance on the wide variety of tasks (classification, detection, etc.) across multiple domains at the cost of high…
Leveraging Filter Correlations for Deep Model Compression
Pravendra Singh, Vinay Kumar Verma, Piyush Rai +1
We present a filter correlation based model compression approach for deep convolutional neural networks. Our approach iteratively identifies pairs of filters with the largest pairw…