| Paper Abstract and Keywords |
| Presentation |
2025-09-18 15:50
Optimization of Lightweight CNNs Using Feature Images for Edge Devices
Yu Osuka, Ryoya Iegaki, Kota Yoshida, Shunsuke Okura (Ristumeikan Univ.) |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
This study investigates lightweight CNN design toward the realization of a feature-extractable CMOS image sensor. First, MobileNetV2 (originally designed for RGB color images) was decomposed into three layer-level configurations, and classification accuracy was evaluated using feature images as inputs. Next, the bit resolution of feature images was reduced to examine the resulting reduction in input data volume, and pruning and weight quantization were applied to shrink CNN model capacity. The evaluation shows that combining feature images with a lightweight CNN reduces input data volume by approximately 97% and effective model size by approximately 98%, while limiting the drop in classification accuracy to 1.18%. These results demonstrate that the proposed approach simultaneously compresses sensor outputs and lightens the CNN model, making it effective for embedded deployment. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
CMOS image sensor / feature extraction / image classification / pruning / quantization / / / |
| Reference Info. |
ITE Tech. Rep., vol. 49, no. 25, IST2025-45, pp. 37-40, Sept. 2025. |
| Paper # |
IST2025-45 |
| Date of Issue |
2025-09-11 (IST) |
| ISSN |
Online edition: ISSN 2424-1970 |
| Download PDF |
|
| Conference Information |
| Committee |
IST |
| Conference Date |
2025-09-18 - 2025-09-18 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Kikai-Shinko-Kaikan Bldg. |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
|
| Paper Information |
| Registration To |
IST |
| Conference Code |
2025-09-IST |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Optimization of Lightweight CNNs Using Feature Images for Edge Devices |
| Sub Title (in English) |
|
| Keyword(1) |
CMOS image sensor |
| Keyword(2) |
feature extraction |
| Keyword(3) |
image classification |
| Keyword(4) |
pruning |
| Keyword(5) |
quantization |
| Keyword(6) |
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| Keyword(7) |
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| Keyword(8) |
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| 1st Author's Name |
Yu Osuka |
| 1st Author's Affiliation |
Ritsumeikan University (Ristumeikan Univ.) |
| 2nd Author's Name |
Ryoya Iegaki |
| 2nd Author's Affiliation |
Ritsumeikan University (Ristumeikan Univ.) |
| 3rd Author's Name |
Kota Yoshida |
| 3rd Author's Affiliation |
Ritsumeikan University (Ristumeikan Univ.) |
| 4th Author's Name |
Shunsuke Okura |
| 4th Author's Affiliation |
Ritsumeikan University (Ristumeikan Univ.) |
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| Speaker |
Author-1 |
| Date Time |
2025-09-18 15:50:00 |
| Presentation Time |
20 minutes |
| Registration for |
IST |
| Paper # |
IST2025-45 |
| Volume (vol) |
vol.49 |
| Number (no) |
no.25 |
| Page |
pp.37-40 |
| #Pages |
4 |
| Date of Issue |
2025-09-11 (IST) |