A fast and self-adaptive on-line learning detection system
This paper proposes a method to allow users to select target species for detection, generate an initial detection model by selecting a small piece of image sample and as the movie plays, continue training this detection model automatically. This method has noticeable detection results for several ty...
Saved in:
Main Authors: | Prasad, Mukesh, Zheng, Ding-Rong, Mery, Domingo, Puthal, Deepak, Sundaram, Suresh, Lin, Chin-Teng |
---|---|
Other Authors: | School of Computer Science and Engineering |
Format: | Article |
Language: | English |
Published: |
2019
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/90081 http://hdl.handle.net/10220/49424 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Transferring boosted detectors towards viewpoint and scene adaptiveness
by: Pang, J., et al.
Published: (2014) -
Deep affordance learning for single- and multiple-instance object detection
by: Wang, Jian-Gang, et al.
Published: (2020) -
TOWARDS EFFICIENT OBJECT DETECTION WITH DEEP LEARNING
by: WANG, TAO
Published: (2023) -
FEW-SHOT IMAGE RECOGNITION AND OBJECT DETECTION
by: LI YITING
Published: (2023) -
Object detection and tracking (in car cabin)
by: Huda, Md Tanvirul
Published: (2024)