Deep Residual Learning
Deep Residual Learning MSRA @ ILSVRC & COCO 2015 competitions Kaiming He with Xiangyu Zhang, Shaoqing Ren, Jifeng Dai, & Jian Sun Microsoft Research Asia (MSRA) MSRA @ ILSVRC & COCO 2015 Competitions • 1st places in all five main tracks • ImageNet Classification: “Ultra-deep” (quote Yann) 152-layer nets • ImageNet Detection: 16% better than 2nd • ImageNet Localization: 27% better than 2nd • COCO D
ImageNet Large Scale Visual Recognition Challenge
The ImageNet Large Scale Visual Recognition Challenge is a benchmark in object category classification and detection on hundreds of object categories and millions of images. The challenge has been run annually from 2010 to present, attracting participation from more than fifty institutions. This paper describes the creation of this benchmark dataset and the advances in object recognition that have
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Microsoft computer identifies objects better than humans - UPI.com
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