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ImageNet: A Large-Scale Hierarchical Image Database
show that ImageNet is a large-scale, accurate and diverse image database (Section2). In Section4, we present a few simple application examples by exploiting the current Ima-geNet, mostly the mammal and vehicle subtrees. Our goal is to show that ImageNet can serve as a useful resource for visual recognition applications such as object recognition,
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Lagrangian Duality for Dummies - Stanford Computer Science
www-cs.stanford.eduDavid Knowles November 13, 2010 We want to solve the following optimisation problem: minf 0(x) (1) such that f i(x) 0 8i21;:::;m (2) For now we do not need to assume convexity. For simplicity we assume no equality constraints, but all these results extend straightforwardly in that case. An obvious (but foolish) approach would be to achieve this ...
Representation Learning on Graphs: Methods and Applications
www-cs.stanford.eduRepresentation Learning on Graphs: Methods and Applications William L. Hamilton wleif@stanford.edu Rex Ying rexying@stanford.edu Jure Leskovec jure@cs.stanford.edu Department of Computer Science Stanford University Stanford, CA, 94305 Abstract Machine learning on graphs is an important and ubiquitous task with applications ranging from drug
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cs229.stanford.eduAlexNet [1], which won the 2012 ImageNet Large-Scale Visual Recognition Challenge (ILSVRC). The architecture is relatively simple and not extremely deep, and is, of course, known to perform well. AlexNet was influential because it started a trend of CNN approaches being very popular in the Im-ageNet challenge and becoming the state of the art
ImageNet Classification with Deep Convolutional Neural ...
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Dense Contrastive Learning for Self-Supervised Visual Pre ...
openaccess.thecvf.comlabeling, making it hard to collect data at a massive scale to pre-train a universal feature representation. Recently, unsupervised visual pre-training has attracted much research attention, which aims to learn a proper vi-sual representation from a large set of unlabeled images. A few methods [17, 2, 3, 14] show the effectiveness in down-
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Quo Vadis, Action Recognition? A New Model and the ...
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Microsoft COCO: Common Objects in Context
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