Distributed learning of deep feature embeddings for visual recognition tasks.

Deep learning has demonstrated an ability to substantially improve the state of the art for understanding the visual content of images. Much of the recent progress has been measured in the context of the ImageNet large-scale visual recognition challenge, with a modest subset of 1.2 million images, labeled according to 1,000 concepts of the full ImageNet dataset. Few published results have applied ...