WebVision Challenge: Visual Learning and Understanding With Web Data

@article{Li2017WebVisionCV,
  title={WebVision Challenge: Visual Learning and Understanding With Web Data},
  author={Wen Li and Limin Wang and Wei Li and Eirikur Agustsson and Jesse Berent and Abhinav Gupta and Rahul Sukthankar and Luc Van Gool},
  journal={CoRR},
  year={2017},
  volume={abs/1705.05640}
}
We present the 2017 WebVision Challenge, a public image recognition challenge designed for deep learning based on web images without instance-level human annotation. Following the spirit of previous vision challenges, such as ILSVRC [1], Places2 [2] and PASCAL VOC [3], which have played critical roles in the development of computer vision by contributing to the community with large scale annotated data for model designing and standardized benchmarking, we contribute with this challenge a large… CONTINUE READING
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  • A. Owens, J. Wu, J. Mcdermott, A. Torralba, W. Freeman
  • 2016

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