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Training Larger Networks for Deep Reinforcement Learning
The success of deep learning in the computer vision and natural language...
02/16/2021 ∙ by Kei Ota, et al. ∙
127
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Deep Reactive Planning in Dynamic Environments
The main novelty of the proposed approach is that it allows a robot to l...
10/31/2020 ∙ by Kei Ota, et al. ∙
1
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Path Planning using Neural A* Search
We present Neural A*, a novel data-driven search algorithm for path plan...
09/16/2020 ∙ by Ryo Yonetani, et al. ∙
6
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Unsupervised Learning of Image Segmentation Based on Differentiable Feature Clustering
The usage of convolutional neural networks (CNNs) for unsupervised image...
07/20/2020 ∙ by Wonjik Kim, et al. ∙
0
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Efficient Exploration in Constrained Environments with Goal-Oriented Reference Path
In this paper, we consider the problem of building learning agents that ...
03/03/2020 ∙ by Kei Ota, et al. ∙
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Salient object detection on hyperspectral images using features learned from unsupervised segmentation task
Various saliency detection algorithms from color images have been propos...
02/28/2019 ∙ by Nevrez Imamoglu, et al. ∙
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An Integration of Bottom-up and Top-Down Salient Cues on RGB-D Data: Saliency from Objectness vs. Non-Objectness
Bottom-up and top-down visual cues are two types of information that hel...
07/04/2018 ∙ by Nevrez Imamoglu, et al. ∙
2
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cvpaper.challenge in 2016: Futuristic Computer Vision through 1,600 Papers Survey
The paper gives futuristic challenges disscussed in the cvpaper.challeng...
07/20/2017 ∙ by Hirokatsu Kataoka, et al. ∙
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RotationNet: Joint Object Categorization and Pose Estimation Using Multiviews from Unsupervised Viewpoints
We propose a Convolutional Neural Network (CNN)-based model "RotationNet...
03/20/2016 ∙ by Asako Kanezaki, et al. ∙
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