Quick summary for people who don't follow machine learning and computer vision: A team from NYU recently open sourced their neural net model from a recent obje

Quick summary for people who don't follow machine learning and computer vision: A team from NYU recently open sourced their neural net model from a recent object recognition competition. The team from KTH used that pre-trained net as a feature extractor and applied it to other standard datasets by learning an SVM on the extracted features. This "simple" approach did as well if not better than most state of the art methods, which were hand engineered for the specific tasks.