2 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.CV2017★ 2 cited
End-to-end learning potentials for structured attribute prediction
Kota Yamaguchi, Takayuki Okatani, Takayuki Umeda +2
We present a structured inference approach in deep neural networks for multiple attribute prediction. In attribute prediction, a common approach is to learn independent classifiers…
cs.CV2016★ 1 cited
Automatic Attribute Discovery with Neural Activations
Sirion Vittayakorn, Takayuki Umeda, Kazuhiko Murasaki +3
How can a machine learn to recognize visual attributes emerging out of online community without a definitive supervised dataset? This paper proposes an automatic approach to discov…