Fully Convolutional Attention Networks for Fine-Grained Recognition — mentioned by nl

Wed, 17 May 2017 11:36:24 GMT

No, ML is very, very good at doing breeds. See, for example https://arxiv.org/pdf/1603.06765.pdf which gets 88.9% accuracy on the Stanford Dogs dataset, and 84.3 on the Caltech Birds dataset. These are way better than anything a non-expert human can do. For example, it can distinguish between the Rhinoceros Auklet and the Parakeet Auklet. I'm not sure what expert performance is, but around 94% is where humans top out on most tasks. Also, the parent poster knows what they are talking about: https://www.semanticscholar.org/author/Stephen-Merity/337544...

Paper and discussion history. A mention is not an endorsement.

Fully Convolutional Attention Networks for Fine-Grained Recognition · HackerPapers discussions

Fully Convolutional Attention Networks for Fine-Grained Recognition — mentioned by nl