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ImageNet Large Scale Visual Recognition Challenge

A benchmark for low-shot recognition was proposed by Hariharan & Girshick (2017) and consists of a representation learning phase without access to the low-shot classes and a subsequent low-shot learning phase.

Data and Resources

Cite this as

Olga Russakovsky, Jia Deng, Hao Su, Jonathan Krause, Sanjeev Satheesh, Sean Ma, Zhiheng Huang, Andrej Karpathy, Aditya Khosla, Michael Bernstein (2024). Dataset: ImageNet Large Scale Visual Recognition Challenge. https://doi.org/10.57702/l581z07g

DOI retrieved: December 2, 2024

Additional Info

Field Value
Created December 2, 2024
Last update December 2, 2024
Defined In https://doi.org/10.48550/arXiv.2204.11340
Citation
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Author Olga Russakovsky
More Authors
Jia Deng
Hao Su
Jonathan Krause
Sanjeev Satheesh
Sean Ma
Zhiheng Huang
Andrej Karpathy
Aditya Khosla
Michael Bernstein
Homepage http://www.image-net.org/