| Presentation | 2023-03-03 Unidentified Floating Object Detecting Method in Maritime Environment using Efficient GAN Hiromu Habuka, Kohta Ohshima, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Efficient GAN / Object Detection / Anomaly Detection / Semantic Segmentation |
| Paper # | NS2022-230 |
| Date of Issue | 2023-02-23 (NS) |
| Conference Information | |
| Committee | IN / NS |
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| Conference Date | 2023/3/2(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Okinawa Convention Centre + Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | General |
| Chair | Kunio Hato(Internet Multifeed) / Tetsuya Oishi(NTT) |
| Vice Chair | Tsutomu Murase(Nagoya Univ.) / Takumi Miyoshi(Shibaura Insti of Tech.) |
| Secretary | Tsutomu Murase(KDDI Research) / Takumi Miyoshi(Nagaoka Univ. of Tech.) |
| Assistant | / Kotaro Mihara(NTT) |
| Paper Information | |
| Registration To | Technical Committee on Information Networks / Technical Committee on Network Systems |
|---|---|
| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Unidentified Floating Object Detecting Method in Maritime Environment using Efficient GAN |
| Sub Title (in English) | |
| Keyword(1) | Efficient GAN |
| Keyword(2) | Object Detection |
| Keyword(3) | Anomaly Detection |
| Keyword(4) | Semantic Segmentation |
| 1st Author's Name | Hiromu Habuka |
| 1st Author's Affiliation | Tokyo University of Marine Science and Technology(TUMSAT) |
| 2nd Author's Name | Kohta Ohshima |
| 2nd Author's Affiliation | Tokyo University of Marine Science and Technology(TUMSAT) |
| Date | 2023-03-03 |
| Paper # | NS2022-230 |
| Volume (vol) | vol.122 |
| Number (no) | NS-406 |
| Page | pp.pp.362-367(NS), |
| #Pages | 6 |
| Date of Issue | 2023-02-23 (NS) |