Search Results for author: Kengo Nakata

Found 2 papers, 0 papers with code

Revisiting a kNN-based Image Classification System with High-capacity Storage

no code implementations3 Apr 2022 Kengo Nakata, Youyang Ng, Daisuke Miyashita, Asuka Maki, Yu-Chieh Lin, Jun Deguchi

Moreover, users cannot verify the validity of inference results or evaluate the contribution of knowledge to the results.

 Ranked #1 on Incremental Learning on ImageNet - 10 steps (using extra training data)

Classification Continual Learning +3

Prune or quantize? Strategy for Pareto-optimally low-cost and accurate CNN

no code implementations25 Sep 2019 Kengo Nakata, Daisuke Miyashita, Asuka Maki, Fumihiko Tachibana, Shinichi Sasaki, Jun Deguchi

These findings are available not only to improve the Pareto frontier for accuracy vs. computational cost, but also give us some new insights on deep neural network.

Quantization

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