Trident‐YOLO: Improving the precision and speed of mobile device object detection. Issue 1 (16th September 2021)
- Record Type:
- Journal Article
- Title:
- Trident‐YOLO: Improving the precision and speed of mobile device object detection. Issue 1 (16th September 2021)
- Main Title:
- Trident‐YOLO: Improving the precision and speed of mobile device object detection
- Authors:
- Wang, Guanbo
Ding,, Hongwei
Li, Bo
Nie, Rencan
Zhao, Yifan - Abstract:
- Abstract: This paper introduce an efficient object detection network named Trident‐You Only Look Once (YOLO), which is designed for mobile devices with limited computing power. The new architecture is improved based on YOLO v4‐tiny. The authors redesign the network structure and propose a trident feature pyramid network (Trident‐FPN), which can improve the precision and recall of lightweight object detection. Specifically, Trident‐FPN increases the computational complexity by only a small amount of floating point operations per second (FLOPs) and obtains a multi‐scale feature map of the model, which significantly lightweight object detection performance. To enlarge the receptive field of the network with the fewest FLOPs, this paper redesign the receptive field block (RFB) and spatial pyramid pooling (SPP) layer and propose tinier cross‐stage partial RFBs and smaller cross‐stage partial SPPs. This paper present extensive experiments, and Trident‐YOLO shows strong performance compared to that of other popular models on the PASCAL VOC and MS COCO. On the MS COCO and PASCAL VOC 2007 test sets, the mean average precision (mAP) of Trident‐YOLO improved by 4.5% and 5.0%, respectively. Trident‐YOLO also reduce the network size by more than 54.4% compared to YOLO v4‐tiny. With a 23.7% FLOP reduction, the FPS is improved by 1.9 on an Nvidia Jetson Xavier NX.
- Is Part Of:
- IET image processing. Volume 16:Issue 1(2022)
- Journal:
- IET image processing
- Issue:
- Volume 16:Issue 1(2022)
- Issue Display:
- Volume 16, Issue 1 (2022)
- Year:
- 2022
- Volume:
- 16
- Issue:
- 1
- Issue Sort Value:
- 2022-0016-0001-0000
- Page Start:
- 145
- Page End:
- 157
- Publication Date:
- 2021-09-16
- Subjects:
- Image processing -- Periodicals
621.36705 - Journal URLs:
- http://digital-library.theiet.org/content/journals/iet-ipr ↗
http://ieeexplore.ieee.org/servlet/opac?punumber=4149689 ↗
http://www.ietdl.org/IET-IPR ↗
https://ietresearch.onlinelibrary.wiley.com/journal/17519667 ↗
http://www.theiet.org/ ↗ - DOI:
- 10.1049/ipr2.12340 ↗
- Languages:
- English
- ISSNs:
- 1751-9659
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4363.252600
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 20214.xml