NDLI: KSSD: single-stage multi-object detection algorithm with higher accuracy

Content Provider	IET Digital Library
Author	Hou, Qingshan Xing, Jinsheng
Abstract	Considering that the single shot multibox detector (SSD) algorithm will be missed or even false when is used to detect the small- and medium-sized objects, in this study, Kullback–Leibler single shot multibox detection (KSSD) object detection algorithm is proposed to improve the accuracy of small- and medium-sized objects detection. Firstly, the details in the detection process are visualised with gradient-weighted class activation mapping technology, and the details of each detection layer are shown in the form of class activation maps. Then it is noted that the phenomenon of the false or missed detection of the objects to be detected on small- and medium-sized objects in the SSD algorithm is related to the regression loss function. Accordingly, Kullback–Leibler border regression loss strategy is adopted and non-maximum suppression algorithm is used to output the final prediction boxes. Experimental results show that compared with the existed detection algorithms, the improved algorithm in this study has higher accuracy and stability, and can significantly improve the detection effect on small- and medium-sized objects.
Starting Page	3651
Ending Page	3661
Page Count	11
ISSN	17519659
Volume Number	14
e-ISSN	17519667
Issue Number	Issue 15, Dec (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/14/15
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2020.0077
Journal	IET Image Processing
Publisher Date	2020-04-30
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Class Activation Maps Computer Vision And Image Processing Technique Detection Effect Detection Layer Detection Process False Missed Detection Gradient-weighted Class Activation Mapping Technology KSSD Kullback–Leibler Border Regression Loss Strategy Kullback–Leibler Single Shot Multibox Detection Medium-sized Objects Medium-sized Objects Detection Multiobject Detection Algorithm Nonmaximum Suppression Algorithm Object Detection Optical, Image And Video Signal Processing Regression Loss Function Single Shot Multibox Detector Algorithm Small-sized Objects SSD Algorithm
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Scale specified single shot multibox detector

Water surface object detection using panoramic vision based on improved single-shot multibox detector

Evaluating salient object detection in natural images with multiple objects having multi-level saliency

Fast single shot multibox detector and its application on vehicle counting system

Combination of Kullback–Leibler divergence and Manhattan distance measures to detect salient objects

Object detection method on station logo with single shot multi-box detector

Evaluating the Single-Shot MultiBox Detector and YOLO Deep Learning Models for the Detection of Tomatoes in a Greenhouse

Bow image retrieval method based on SSD target detection

Accurate and fast single shot multibox detector

KSSD: single-stage multi-object detection algorithm with higher accuracy

Similar Documents

Scale specified single shot multibox detector

Water surface object detection using panoramic vision based on improved single-shot multibox detector

Evaluating salient object detection in natural images with multiple objects having multi-level saliency

Fast single shot multibox detector and its application on vehicle counting system

Combination of Kullback–Leibler divergence and Manhattan distance measures to detect salient objects

Object detection method on station logo with single shot multi-box detector

Evaluating the Single-Shot MultiBox Detector and YOLO Deep Learning Models for the Detection of Tomatoes in a Greenhouse

Bow image retrieval method based on SSD target detection

Accurate and fast single shot multibox detector

KSSD: single-stage multi-object detection algorithm with higher accuracy