| Presentation | 2013-03-14 Fine-grained classification with various local descriptors and Passive-Aggressive Naoyuki GUNJI, Takayuki HIGUCHI, Koki YASUMOTO, Hiroshi MURAOKA, Yoshitaka USHIKU, Tatsuya HARADA, Yasuo KUNIYOSHI, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Recent years, fine-grained classification has been studied intensively. But, various local descriptors and encodings proposed for general object classification have not been applied to fine-grained classification many times. In this work, we evaluate such methods with a dataset, which was used in ImageNet Large Scale Visual Recognition Challenge (ILSVRC)2012 fine-grained classification task. When we use densely sampled SIFT descriptors and Fisher Vector, we achieve 20.5%accuracy. But, when we combine many kinds of local descriptors and utilize bounding boxes, our system yields 40.6%accuracy finally and ranks top in ILSVRC2012 fine-grained classification task. Furthermore, when we compare our system to a state-of-the-art method on a similar dataset, our system outperforms the state-of-the-art method in accuracy. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Large-scale image classification / local descriptor / fine-grained classification / Fisher Vector |
| Paper # | PRMU2012-184 |
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| Conference Information | |
| Committee | PRMU |
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| Conference Date | 2013/3/7(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Pattern Recognition and Media Understanding (PRMU) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Fine-grained classification with various local descriptors and Passive-Aggressive |
| Sub Title (in English) | |
| Keyword(1) | Large-scale image classification |
| Keyword(2) | local descriptor |
| Keyword(3) | fine-grained classification |
| Keyword(4) | Fisher Vector |
| 1st Author's Name | Naoyuki GUNJI |
| 1st Author's Affiliation | Graduate School of Information Science and Technology, The University of Tokyo() |
| 2nd Author's Name | Takayuki HIGUCHI |
| 2nd Author's Affiliation | Graduate School of Information Science and Technology, The University of Tokyo |
| 3rd Author's Name | Koki YASUMOTO |
| 3rd Author's Affiliation | Graduate School of Information Science and Technology, The University of Tokyo |
| 4th Author's Name | Hiroshi MURAOKA |
| 4th Author's Affiliation | Graduate School of Information Science and Technology, The University of Tokyo |
| 5th Author's Name | Yoshitaka USHIKU |
| 5th Author's Affiliation | Graduate School of Information Science and Technology, The University of Tokyo |
| 6th Author's Name | Tatsuya HARADA |
| 6th Author's Affiliation | Graduate School of Information Science and Technology:JST PRESTO, The University of Tokyo |
| 7th Author's Name | Yasuo KUNIYOSHI |
| 7th Author's Affiliation | Graduate School of Information Science and Technology, The University of Tokyo |
| Date | 2013-03-14 |
| Paper # | PRMU2012-184 |
| Volume (vol) | vol.112 |
| Number (no) | 495 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |