3.1k citations · 14.2k across the 134 of their papers we have counts for
3 papers · 2 filters
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps
Karen Simonyan, Andrea Vedaldi, Andrew Zisserman
This paper addresses the visualisation of image classification models, learnt using deep Convolutional Networks (ConvNets). We consider two visualisation techniques, based on compu…
Describing Textures in the Wild
Mircea Cimpoi, Subhransu Maji, Iasonas Kokkinos +2
Patterns and textures are defining characteristics of many natural objects: a shirt can be striped, the wings of a butterfly can be veined, and the skin of an animal can be scaly.…
Fine-Grained Visual Classification of Aircraft
Subhransu Maji, Esa Rahtu, Juho Kannala +2
This paper introduces FGVC-Aircraft, a new dataset containing 10,000 images of aircraft spanning 100 aircraft models, organised in a three-level hierarchy. At the finer level, diff…