| Presentation | 2018-12-15 Spatial frequency characteristics of convolutional neutral network trained for classifying facial expressions Yusuke Komatsu, Mikio Inagaki, ChanSeok Lim, Takashi Shinozaki, Ichiro Fujita, |
|---|---|
| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | A previous experiment conducted in monkeys (Inagaki and Fujita, 2011) demonstrated that most face-responsive neurons in the temporal visual cortex are tuned to image-based spatial frequency (SF) (cycles/image), not to retina-based SF (cycles/degree). In this study, we addressed how the tuning to image-based SF observed in face-responsive neurons contributes to underlying computation of face classification. We analyzed the internal representation of a convolutional neural network (CNN) which imitates processing of the ventral visual pathway. We found a positive correlation between the preference for image-based SF and classification performance, suggesting that this tuning property plays a role in discriminating facial expressions. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Face recognition / Face-responsive neuron / Convolutional Neural Network / Spatial Frequency |
| Paper # | NC2018-29 |
| Date of Issue | 2018-12-08 (NC) |
| Conference Information | |
| Committee | NC / MBE |
|---|---|
| Conference Date | 2018/12/15(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Nagoya Institute of Technology |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Yutaka Hirata(Chubu Univ.) / Masaki Kyoso(TCU) |
| Vice Chair | Hayaru Shouno(UEC) / Taishin Nomura(Osaka Univ.) |
| Secretary | Hayaru Shouno(Nagoya Univ.) / Taishin Nomura(NAIST) |
| Assistant | Keiichiro Inagaki(Chubu Univ.) / Takashi Shinozaki(NICT) / Takumi Kobayashi(YNU) / Ｙａｓｕｙｕｋｉ Ｓｕｚｕｋｉ(Osaka Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Neurocomputing / Technical Committee on ME and Bio Cybernetics |
|---|---|
| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Spatial frequency characteristics of convolutional neutral network trained for classifying facial expressions |
| Sub Title (in English) | |
| Keyword(1) | Face recognition |
| Keyword(2) | Face-responsive neuron |
| Keyword(3) | Convolutional Neural Network |
| Keyword(4) | Spatial Frequency |
| 1st Author's Name | Yusuke Komatsu |
| 1st Author's Affiliation | Osaka University(Osaka Univ) |
| 2nd Author's Name | Mikio Inagaki |
| 2nd Author's Affiliation | Osaka University(Osaka Univ) |
| 3rd Author's Name | ChanSeok Lim |
| 3rd Author's Affiliation | Osaka University(Osaka Univ) |
| 4th Author's Name | Takashi Shinozaki |
| 4th Author's Affiliation | National Institute of information and Communications Technology(NICT) |
| 5th Author's Name | Ichiro Fujita |
| 5th Author's Affiliation | Osaka University(Osaka Univ) |
| Date | 2018-12-15 |
| Paper # | NC2018-29 |
| Volume (vol) | vol.118 |
| Number (no) | NC-367 |
| Page | pp.pp.5-10(NC), |
| #Pages | 6 |
| Date of Issue | 2018-12-08 (NC) |