A Year in Computer Vision

#artificialintelligence 

Note: The top row (left to right) represent the artistic style which is transposed onto the original images which are displayed in the first column (Woman, Golden Gate Bridge and Meadow Environment). Using conditional instance normalisation a single style transfer network can capture 32 style simultaneously, five of which are displayed here. This work will feature in the International Conference on Learning Representations (ICLR) 2017. Source: Dumoulin et al. (2017, p. 2)[79] Style transfer as a topic is fairly intuitive once visualised; take an image and imagine it with the stylistic features of a different image. This year Facebook released Caffe2Go,[80] their deep learning system which integrates into mobile devices.