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[1409.0575] Imagenet Large Scale Visual Recognition Challenge

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ImageNet Large Scale Visual Recognition Challenge 2012 (ILSVRC2012 ...

ImageNet Large Scale Visual Recognition Challenge

Introduction History Data Tasks Timetable Citation new Organizers Sponsors Contact News. September 2, 2014: A new paper which describes the collection of the

ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky* Jia Deng* Hao Su Jonathan Krause Sanjeev Satheesh Sean Ma Zhiheng Huang Andrej Karpathy Aditya Khosla

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

Olga Russakovsky*, Jia Deng*, Hao Su, Jonathan Krause, Sanjeev Satheesh, Sean Ma, Zhiheng Huang, Andrej Karpathy, Aditya Khosla, Michael Bernstein, Alexander C.

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,

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We discuss the challenges of collecting large-scale ground truth annotation, highlight key breakthroughs in categorical object recognition, provide a detailed analysis of the current state

This challenge evaluates algorithms for object localization/detection and image/scene classification from images and videos at large scale. This year there will be two

We discuss the challenges of collecting large-scale ground truth annotation, highlight key breakthroughs in categorical object recognition, provide a detailed analysis of the

We propose a deep convolutional neural network architecture codenamed „Inception“, which was responsible for setting the new state of the art for classification and

ImageNet Large Scale Visual Recognition Challenge. Int J Comput Vis 115, 211–252 (2015). Article MathSciNet Google Scholar Niso, G. et al. MEG-BIDS, the brain

一些最重要的创新源于学术界和行业领导者向 ImageNet 大规模视觉识别挑战赛 (ImageNet Large Scale Visual Recognition Challenge) 或 ILSVRC 提交的材料。 ILSVRC 是一年一度的计算机视

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

Abstract The ImageNet Large Scale Visual Recogni-tion Challenge is a benchmark in object category classi-cation and detection on hundreds of object categories and millions of images.

The ImageNet Large Scale Visual Recognition Challenge is a benchmark in object category classification and detection on hundreds of

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  • ImageNet Large Scale Visual Recognition Challenge
  • Large Scale Visual Recognition Challenge 2012

However, existing OOD benchmarks in the literature suffer from two main limitations: (1) they often overlook semantic shift as a potential challenge, and (2) their scale is

One of the most highly used subsets of ImageNet is the „ImageNet Large Scale Visual Recognition Challenge (ILSVRC) 2012–2017 image classification and localization dataset“.

The ImageNet dataset is a very large collection of human annotated photographs designed by academics for developing computer vision algorithms. The ImageNet Large Scale

We discuss the challenges of collecting large-scale ground truth annotation, highlight key breakthroughs in categorical object recognition, provide a detailed analysis of the

(* = equal contribution) ImageNet Large Scale Visual Recognition Challenge. arXiv:1409.0575, 2014. paper | bibtex. When using the Places2 dataset for the taster scene classification

The ImageNet dataset contains 14,197,122 annotated images according to the WordNet hierarchy. Since 2010 the dataset is used in the ImageNet Large Scale Visual Recognition

One of the most highly used subsets of ImageNet is the „ImageNet Large Scale Visual Recognition Challenge (ILSVRC) 2012–2017 image classification and localization dataset“.

If you are reporting results of the challenge or using the dataset, please cite: Olga Russakovsky*, Jia Deng*, Hao Su, Jonathan Krause, Sanjeev Satheesh, Sean Ma, Zhiheng Huang, Andrej

ILSVRC（ImageNet Large Scale Visual Recognition Challenge）是近年来机器视觉领域最受追捧也是最具权威的学术竞赛之一，代表了图像领域的最高水平。 ImageNet数据

Introduction Task Timetable Citation new Organizers Contact Workshop Download Evaluation Server News. September 2, 2014: A new paper which describes the collection of

Large Scale Visual Recognition Challenge 2017 (ILSVRC2017) DET LOC VID Team information. Legend: Yellow background = winner in this task according to this metric; authors are willing to

The ImageNet Large Scale Visual Recognition Challenge (ILSVRC) has been running annually for five years (since 2010) and has become the standard benchmark for large-scale object

We discuss the challenges of collecting large-scale ground truth annotation, highlight key breakthroughs in categorical object recognition, provide a detailed analysis of the

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