3.2k citations · 11.3k across the 87 of their papers we have counts for
Showing 2016 · cs.CVShow all
3 papers · 2 filters
cs.CV2016★ 242 cited
Rotation equivariant vector field networks
Diego Marcos, Michele Volpi, Nikos Komodakis +1
In many computer vision tasks, we expect a particular behavior of the output with respect to rotations of the input image. If this relationship is explicitly encoded, instead of tr…
cs.CV2016★ 429 cited
Dense semantic labeling of sub-decimeter resolution images with convolutional neural networks
Michele Volpi, Devis Tuia
Semantic labeling (or pixel-level land-cover classification) in ultra-high resolution imagery (< 10cm) requires statistical models able to learn high level concepts from spatial da…
cs.CV2016★ 88 cited
Learning rotation invariant convolutional filters for texture classification
Diego Marcos, Michele Volpi, Devis Tuia
We present a method for learning discriminative filters using a shallow Convolutional Neural Network (CNN). We encode rotation invariance directly in the model by tying the weights…