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abhshkdz
on Nov 30, 2015
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Visual question answering using CNN+RNN
Accuracy is measured as min((number of humans that provided that answer)/3, 1) i.e. 100% accurate if at least 3 humans provided that exact answer, as outlined here:
http://visualqa.org/evaluation.html
.
No, this model is from the NIPS15 paper by Ren et al (
http://arxiv.org/abs/1505.02074
).
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No, this model is from the NIPS15 paper by Ren et al (http://arxiv.org/abs/1505.02074).