| Presentation | 2019-03-18 Reali-time Object Detection based on SSD Yuya Yamashige, Masaki Aono, |
|---|---|
| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In recent years, attention has been paid to developing object detection methods from images, based on deep learning. In particular, toward self-driving cars, it is essential to make the detection as accurately as possible, as quickly as possible, as economically as possible. Here, we focus on SSD: Single Shot MultiBox Detector (SSD300) and attempt to improve it with less GPU memory. We propose a new method called “FPSSD7” (Feature Pyramid SSD7), which has less convolutional layers, keeping semantic information. For this purpose, we develop a method to interpolate semantic information between lower layers with high resolution feature maps and upper layer with low resolution features maps. We conducted comparative experiments with the conventional methods using Udacity Annotated Driving Dataset. As the result, we demonstrate that our proposed method outperform the conventional methods. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Object Detection / Deep Learning / SSD: Single Shot MultiBox Detector |
| Paper # | BioX2018-60,PRMU2018-164 |
| Date of Issue | 2019-03-10 (BioX, PRMU) |
| Conference Information | |
| Committee | PRMU / BioX |
|---|---|
| Conference Date | 2019/3/17(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Shinichi Sato(NII) / Kazuhiko Sumi(AGU) |
| Vice Chair | Yoshihisa Ijiri(Omron) / Toru Tamaki(Hiroshima Univ.) / Hitoshi Imaoka(NEC) / Tetsushi Ohki(Shizuoka Univ.) |
| Secretary | Yoshihisa Ijiri(NEC) / Toru Tamaki(Osaka Univ.) / Hitoshi Imaoka(Fujitsu Labs.) / Tetsushi Ohki(Univ. of Electro-Comm.) |
| Assistant | Go Irie(NTT) / Yoshitaka Ushiku(Univ. of Tokyo) / Norihiro Okui(KDDI Research) / Daishi Watabe(Saitama Inst. of Tech.) |
| Paper Information | |
| Registration To | Technical Committee on Pattern Recognition and Media Understanding / Technical Committee on Biometrics |
|---|---|
| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Reali-time Object Detection based on SSD |
| Sub Title (in English) | |
| Keyword(1) | Object Detection |
| Keyword(2) | Deep Learning |
| Keyword(3) | SSD: Single Shot MultiBox Detector |
| 1st Author's Name | Yuya Yamashige |
| 1st Author's Affiliation | Toyohashi University of Technology(TUT) |
| 2nd Author's Name | Masaki Aono |
| 2nd Author's Affiliation | Toyohashi University of Technology(TUT) |
| Date | 2019-03-18 |
| Paper # | BioX2018-60,PRMU2018-164 |
| Volume (vol) | vol.118 |
| Number (no) | BioX-512,PRMU-513 |
| Page | pp.pp.181-186(BioX), pp.181-186(PRMU), |
| #Pages | 6 |
| Date of Issue | 2019-03-10 (BioX, PRMU) |