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Deep Ensemble Collaborative Learning by using Knowledge-transfer Graph for Fine-grained Object Classification


Mar 27, 2021
Naoki Okamoto, Soma Minami, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi

* 10 pages, 8 figures 

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Visual Explanation using Attention Mechanism in Actor-Critic-based Deep Reinforcement Learning


Mar 06, 2021
Hidenori Itaya, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, Komei Sugiura

* 20 pages, 19 figures 

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Predicting and Attending to Damaging Collisions for Placing Everyday Objects in Photo-Realistic Simulations


Feb 12, 2021
Aly Magassouba, Komei Sugiura, Angelica Nakayama, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, Hisashi Kawai

* 18 pages, 7 figures, 5 tables. Submitted to Advanced Robotics 

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Alleviating the Burden of Labeling: Sentence Generation by Attention Branch Encoder-Decoder Network


Jul 09, 2020
Tadashi Ogura, Aly Magassouba, Komei Sugiura, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, Hisashi Kawai

* 9 pages, 8 figures. accepted for IEEE Robotics and Automation Letters (RA-L) with presentation at IROS 2020 

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Knowledge Transfer Graph for Deep Collaborative Learning


Sep 10, 2019
Soma Minami, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi

* 9 pages, 4 figures 

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Embedding Human Knowledge in Deep Neural Network via Attention Map


May 09, 2019
Masahiro Mitsuhara, Hiroshi Fukui, Yusuke Sakashita, Takanori Ogata, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi

* 10 pages, 11 figures 

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Attention Branch Network: Learning of Attention Mechanism for Visual Explanation


Dec 25, 2018
Hiroshi Fukui, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi

* 9 pages, 7 figures 

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Survey on Vision-based Path Prediction


Nov 01, 2018
Tsubasa Hirakawa, Takayoshi Yamashita, Toru Tamaki, Hironobu Fujiyoshi

* DAPI 2018 

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Denoising random forests


Oct 30, 2017
Masaya Hibino, Akisato Kimura, Takayoshi Yamashita, Yuji Yamauchi, Hironobu Fujiyoshi

* 20 pages, 10 figures, submitted to Pattern Recognition 

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Binary-decomposed DCNN for accelerating computation and compressing model without retraining


Sep 14, 2017
Ryuji Kamiya, Takayoshi Yamashita, Mitsuru Ambai, Ikuro Sato, Yuji Yamauchi, Hironobu Fujiyoshi

* 8 pages 

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