Hironobu Fujiyoshi | DeepAI

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Featured Co-authors

Takayoshi Yamashita
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∙ 06/04/2023

Learning from AI: An Interactive Learning Method Using a DNN Model Incorporating Expert Knowledge as a Teacher

Visual explanation is an approach for visualizing the grounds of judgmen...

9 Kohei Hattori, et al. ∙

∙ 02/16/2023

Masking and Mixing Adversarial Training

While convolutional neural networks (CNNs) have achieved excellent perfo...

5 Hiroki Adachi, et al. ∙

∙ 09/12/2022

Data Augmentation by Selecting Mixed Classes Considering Distance Between Classes

Data augmentation is an essential technique for improving recognition ac...

23 Shungo Fujii, et al. ∙

∙ 08/18/2022

Visual Explanation of Deep Q-Network for Robot Navigation by Fine-tuning Attention Branch

Robot navigation with deep reinforcement learning (RL) achieves higher p...

0 Yuya Maruyama, et al. ∙

∙ 07/27/2022

Object-ABN: Learning to Generate Sharp Attention Maps for Action Recognition

In this paper we propose an extension of the Attention Branch Network (A...

0 Tomoya Nitta, et al. ∙

∙ 10/29/2021

ST-ABN: Visual Explanation Taking into Account Spatio-temporal Information for Video Recognition

It is difficult for people to interpret the decision-making in the infer...

3 Masahiro Mitsuhara, et al. ∙

∙ 03/27/2021

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

Mutual learning, in which multiple networks learn by sharing their knowl...

11 Naoki Okamoto, et al. ∙

∙ 03/06/2021

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

Deep reinforcement learning (DRL) has great potential for acquiring the ...

32 Hidenori Itaya, et al. ∙

∙ 02/12/2021

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

Placing objects is a fundamental task for domestic service robots (DSRs)...

11 Aly Magassouba, et al. ∙

∙ 07/09/2020

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

Domestic service robots (DSRs) are a promising solution to the shortage ...

0 Tadashi Ogura, et al. ∙

∙ 09/10/2019

Knowledge Transfer Graph for Deep Collaborative Learning

We propose Deep Collaborative Learning (DCL), which is a method that inc...

0 Soma Minami, et al. ∙

∙ 05/09/2019

Embedding Human Knowledge in Deep Neural Network via Attention Map

Human-in-the-loop (HITL), which introduces human knowledge to machine le...

0 Masahiro Mitsuhara, et al. ∙

∙ 12/25/2018

Attention Branch Network: Learning of Attention Mechanism for Visual Explanation

Visual explanation enables human to understand the decision making of De...

24 Hiroshi Fukui, et al. ∙

∙ 11/01/2018

Survey on Vision-based Path Prediction

Path prediction is a fundamental task for estimating how pedestrians or ...

6 Tsubasa Hirakawa, et al. ∙

∙ 10/30/2017

Denoising random forests

This paper proposes a novel type of random forests called a denoising ra...

0 Masaya Hibino, et al. ∙

∙ 09/14/2017

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

Recent trends show recognition accuracy increasing even more profoundly....

0 Ryuji Kamiya, et al. ∙