TY - GEN
T1 - Object detection using transfer learning for underwater robot
AU - Wang, Chia Chin
AU - Samani, Hooman
N1 - Funding Information:
This research is supported by National Taipei University grant number: 109-NTPU_ORDA-F-006.
Publisher Copyright:
© 2020 IEEE.
PY - 2020/8
Y1 - 2020/8
N2 - In this paper the usage of Transfer Learning method for object detection in underwater environment is experienced and evaluated. Deep learning method of YOLO is utilized for detection of different types of fish underwater. A ROV equipped with camera is employed for video streaming underwater and the data has been analyzed on the main computer Our experimental results confirmed improvement in the mAP by 4% using transfer learning.
AB - In this paper the usage of Transfer Learning method for object detection in underwater environment is experienced and evaluated. Deep learning method of YOLO is utilized for detection of different types of fish underwater. A ROV equipped with camera is employed for video streaming underwater and the data has been analyzed on the main computer Our experimental results confirmed improvement in the mAP by 4% using transfer learning.
UR - http://www.scopus.com/inward/record.url?scp=85092580636&partnerID=8YFLogxK
U2 - 10.1109/ARIS50834.2020.9205774
DO - 10.1109/ARIS50834.2020.9205774
M3 - Conference contribution
AN - SCOPUS:85092580636
T3 - International Conference on Advanced Robotics and Intelligent Systems, ARIS
BT - 2020 International Conference on Advanced Robotics and Intelligent Systems, ARIS 2020
PB - Institute of Electrical and Electronics Engineers (IEEE)
T2 - 2020 International Conference on Advanced Robotics and Intelligent Systems, ARIS 2020
Y2 - 19 August 2020 through 21 August 2020
ER -