489 citations · 1.6k across the 31 of their papers we have counts for
4 papers · 1 filter
Areas of Attention for Image Captioning
Marco Pedersoli, Thomas Lucas, Cordelia Schmid +1
We propose "Areas of Attention", a novel attention-based model for automatic image captioning. Our approach models the dependencies between image regions, caption words, and the st…
Semantic Segmentation using Adversarial Networks
Pauline Luc, Camille Couprie, Soumith Chintala +1
Adversarial training has been shown to produce state of the art results for generative image modeling. In this paper we propose an adversarial training approach to train semantic s…
Convolutional Neural Fabrics
Shreyas Saxena, Jakob Verbeek
Despite the success of CNNs, selecting the optimal architecture for a given task remains an open problem. Instead of aiming to select a single optimal architecture, we propose a "f…
Frankenstein: Learning Deep Face Representations using Small Data
Guosheng Hu, Xiaojiang Peng, Yongxin Yang +2
Deep convolutional neural networks have recently proven extremely effective for difficult face recognition problems in uncontrolled settings. To train such networks, very large tra…