What are some promising new approaches and architectures that are showing state-of-the-art performance on these benchmarks?

Jun 5, 2016 ... In this tutorial, we will present a few simple yet effective methods that you can use to build a powerful image classifier, using only very few training ... In this paper, we compare the results of ResNet image classification with the results of Google Image search. We created a collection of 1000 images by ... The VGG Image Classification (VIC) Engine is an open source project developed at the Visual Geometry Group and released under the BSD-2 clause. VIC is a web ... This guide presents an overall strategy for devising an image classification solution on AWS. It provides best practices for each portion of the strategy. In this paper we investigate image classification with computational resource limits at test time. Two such settings are: 1. anytime classification. The idea is very simple: instead of finding the single closest image in the training set, we will find the top k closest images, and have them vote on the label ... May 2, 2019 ... This paper presents a study of semi-supervised learning with large convolutional networks. We propose a pipeline, based on a teacher/student paradigm, Jan 22, 2018 ... Now, you can easily add real time image classification to your mobile applications. Creating, updating, and exporting a compact model takes ... ... image logging platform that combines image classification and calorie estimation to support dietary management. This thesis consists of four studies ... Image Classification ... Image Classification is a fundamental task in vision recognition that aims to understand and categorize an image as a whole under a ...