| Budget Amount *help |
¥3,510,000 (Direct Cost: ¥2,700,000、Indirect Cost: ¥810,000)
Fiscal Year 2017: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2016: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2015: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
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| Outline of Final Research Achievements |
From the plant photo images posted on the Internet, We have participated in the international contest called PlantCLEF from the second year of the research period, resulting in No.1 world record in 2016 and the year 2017, "Noisy training data" truck, which was the second place as a whole. Technically, we have succeeded in improving the accuracy by mixing textual features from meta data with the image features of CNN and MLP layers of the deep learning as well as the traditional features such as Fisher vector. Furthermore, we have developed a fractional pooling method to enable convolution with arbitrary rectangular images.
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