most citedHierarchical Deep Learning Architecture For 10K Objects Classification

19 citations · 19 across the 1 of their papers we have counts for

collaborators

2 papers

cs.CV2020

Predicting Visual Importance Across Graphic Design Types

Camilo Fosco, Vincent Casser, Amish Kumar Bedi +3

This paper introduces a Unified Model of Saliency and Importance (UMSI), which learns to predict visual importance in input graphic designs, and saliency in natural images, along w…

cs.CV2015★ 19 cited

Hierarchical Deep Learning Architecture For 10K Objects Classification

Atul Laxman Katole, Krishna Prasad Yellapragada, Amish Kumar Bedi +2

Evolution of visual object recognition architectures based on Convolutional Neural Networks & Convolutional Deep Belief Networks paradigms has revolutionized artificial Vision Scie…