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06/24/2023
Action Q-Transformer: Visual Explanation in Deep Reinforcement Learning with Encoder-Decoder Model using Action Query
The excellent performance of Transformer in supervised learning has led ...
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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...
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02/16/2023
Masking and Mixing Adversarial Training
While convolutional neural networks (CNNs) have achieved excellent perfo...
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09/12/2022
Data Augmentation by Selecting Mixed Classes Considering Distance Between Classes
Data augmentation is an essential technique for improving recognition ac...
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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...
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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...
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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...
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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...
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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 ...
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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)...
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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 ...
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09/10/2019
Knowledge Transfer Graph for Deep Collaborative Learning
We propose Deep Collaborative Learning (DCL), which is a method that inc...
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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...
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12/25/2018
Attention Branch Network: Learning of Attention Mechanism for Visual Explanation
Visual explanation enables human to understand the decision making of De...
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11/01/2018
Survey on Vision-based Path Prediction
Path prediction is a fundamental task for estimating how pedestrians or ...
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10/30/2017
Denoising random forests
This paper proposes a novel type of random forests called a denoising ra...
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09/14/2017
