Search Results for author: Yu Oishi

Found 2 papers, 1 papers with code

Achieving Explainability for Plant Disease Classification with Disentangled Variational Autoencoders

no code implementations5 Feb 2021 Harshana Habaragamuwa, Yu Oishi, Kenichi Tanaka

Agricultural image recognition tasks are becoming increasingly dependent on deep learning (DL); however, despite the excellent performance of DL, it is difficult to comprehend the type of logic or features of the input image it uses during decision making.

Classification Decision Making +3

Hyperspectral Image Dataset for Benchmarking on Salient Object Detection

2 code implementations29 Jun 2018 Nevrez Imamoglu, Yu Oishi, Xiaoqiang Zhang, Guanqun Ding, Yuming Fang, Toru Kouyama, Ryosuke Nakamura

Many works have been done on salient object detection using supervised or unsupervised approaches on colour images.

Benchmarking Object +4

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