3.6k citations · 4.7k across the 31 of their papers we have counts for
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Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs
Liang-Chieh Chen, George Papandreou, Iasonas Kokkinos +2
Deep Convolutional Neural Networks (DCNNs) have recently shown state of the art performance in high level vision tasks, such as image classification and object detection. This work…
Fracking Deep Convolutional Image Descriptors
Edgar Simo-Serra, Eduard Trulls, Luis Ferraz +2
In this paper we propose a novel framework for learning local image descriptors in a discriminative manner. For this purpose we explore a siamese architecture of Deep Convolutional…
Untangling Local and Global Deformations in Deep Convolutional Networks for Image Classification and Sliding Window Detection
George Papandreou, Iasonas Kokkinos, Pierre-André Savalle
Deep Convolutional Neural Networks (DCNNs) commonly use generic `max-pooling' (MP) layers to extract deformation-invariant features, but we argue in favor of a more refined treatme…