Benchmarking different deep regression models for predicting image rotation angle and robot’s end effector’s position
Deep visual regression models have an important role to find how much the learning model fits the relationship between the visual data (images) and the predicted continuous output. Recently, deep visual regression has been utilized in different applications such as age prediction, digital holography...
Saved in:
Main Authors: | AlDahoul, Nouar, Mohd Suhaimi, Nur Farahana |
---|---|
Format: | Conference or Workshop Item |
Language: | English English |
Published: |
Institute of Electrical and Electronics Engineers Inc.
2019
|
Subjects: | |
Online Access: | http://irep.iium.edu.my/78088/1/78088_Benchmarking%20different%20deep%20regression%20models_complete_new.pdf http://irep.iium.edu.my/78088/2/78088_Benchmarking%20different%20deep%20regression%20models_scopus.pdf http://irep.iium.edu.my/78088/ https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8952047 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
End effector and trajectory working area of robot system
by: Mohd Rizal, Abdul Hamid
Published: (1999) -
Robot arm end effector control using soft actuator
by: Rosli, Nur Fatiha, et al.
Published: (2012) -
Design and development of end effector for changing bulb
by: Khazani, M.M.M., et al.
Published: (2020) -
Design and development of end effector for changing bulb
by: Khazani M.M.M., et al.
Published: (2023) -
Designing a pepper harvester end effector
by: Tiong, I.H
Published: (2010)