103 citations · 184 across the 9 of their papers we have counts for
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cs.CV2017★ 68 cited
Significance of Softmax-based Features in Comparison to Distance Metric Learning-based Features
Shota Horiguchi, Daiki Ikami, Kiyoharu Aizawa
The extraction of useful deep features is important for many computer vision tasks. Deep features extracted from classification networks have proved to perform well in those tasks.…
cs.CV2017
Residual Expansion Algorithm: Fast and Effective Optimization for Nonconvex Least Squares Problems
Daiki Ikami, Toshihiko Yamasaki, Kiyoharu Aizawa
We propose the residual expansion (RE) algorithm: a global (or near-global) optimization method for nonconvex least squares problems. Unlike most existing nonconvex optimization te…