| Paper Abstract and Keywords |
| Presentation |
2025-06-05 13:25
A Study of Object Detection Model Compression Methods for Features Extractable CMOS Image Sensors
Ryoya Iegaki, Keiichiro Kuroda, Yu Osuka (Ritsumeikan Univ), Ryuichi Ujiie, Hideki Shima (Nisshinbo), Kota Yoshida, Shunsuke Okura (Ritsumeikan Univ) |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
We examine the quantization and pruning of object detection models for CMOS image sensors capable of feature extraction. We first demonstrate that feature images with low bit resolution are robust to quantization of model parameters. Furthermore, we propose an efficient weight quantization taking account of the layer structure of the DNN model and the distribution of weight parameters. Compared to object detection using RGB color images and YOLOv7, the object detection using feature images and the proposed model reduces input data size by approximately 97.66%, model weight size by 99.02%, and computational cost by 96.20%. Meanwhile, the decrease in detection accuracy for large objects, mAP@50, is limited to 13.5% . |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
CMOSimagesensor / feature extraction / object detection / quantization / pruning / / / |
| Reference Info. |
ITE Tech. Rep., vol. 49, no. 14, IST2025-24, pp. 13-17, June 2025. |
| Paper # |
IST2025-24 |
| Date of Issue |
2025-05-29 (IST, ME) |
| ISSN |
Online edition: ISSN 2424-1970 |
| Download PDF |
|
| Conference Information |
| Committee |
IST ME IEICE-IE IEICE-BioX IEICE-SIP IEICE-MI |
| Conference Date |
2025-06-05 - 2025-06-06 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
|
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
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| Paper Information |
| Registration To |
IST |
| Conference Code |
2025-06-IST-ME-IE-BioX-SIP-MI |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
A Study of Object Detection Model Compression Methods for Features Extractable CMOS Image Sensors |
| Sub Title (in English) |
|
| Keyword(1) |
CMOSimagesensor |
| Keyword(2) |
feature extraction |
| Keyword(3) |
object detection |
| Keyword(4) |
quantization |
| Keyword(5) |
pruning |
| Keyword(6) |
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| Keyword(7) |
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| Keyword(8) |
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| 1st Author's Name |
Ryoya Iegaki |
| 1st Author's Affiliation |
Ritsumeikan University (Ritsumeikan Univ) |
| 2nd Author's Name |
Keiichiro Kuroda |
| 2nd Author's Affiliation |
Ritsumeikan University (Ritsumeikan Univ) |
| 3rd Author's Name |
Yu Osuka |
| 3rd Author's Affiliation |
Ritsumeikan University (Ritsumeikan Univ) |
| 4th Author's Name |
Ryuichi Ujiie |
| 4th Author's Affiliation |
Nisshinbo Micro Devices (Nisshinbo) |
| 5th Author's Name |
Hideki Shima |
| 5th Author's Affiliation |
Nisshinbo Micro Devices (Nisshinbo) |
| 6th Author's Name |
Kota Yoshida |
| 6th Author's Affiliation |
Ritsumeikan University (Ritsumeikan Univ) |
| 7th Author's Name |
Shunsuke Okura |
| 7th Author's Affiliation |
Ritsumeikan University (Ritsumeikan Univ) |
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| Speaker |
Author-1 |
| Date Time |
2025-06-05 13:25:00 |
| Presentation Time |
25 minutes |
| Registration for |
IST |
| Paper # |
IST2025-24, ME2025-62 |
| Volume (vol) |
vol.49 |
| Number (no) |
no.14 |
| Page |
pp.13-17 |
| #Pages |
5 |
| Date of Issue |
2025-05-29 (IST, ME) |