What makes ImageNet good for transfer learning?

arXiv: Computer Vision and Pattern Recognition, Volume abs/1608.08614, 2016.

Cited by: 333|Views61
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Abstract:

The tremendous success of ImageNet-trained deep features on a wide range of transfer tasks begs the question: what are the properties of the ImageNet dataset that are critical for learning good, general-purpose features? This work provides an empirical investigation of various facets of this question: Is more pre-training data always bett...More

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