Fault detection method based on high-level feedback and reconstruction for image recognition
Image recognition problem is a typical challenge for artificial intelligence. Deep learning methods have shown great progress in this area in recent years. However, this approach has the limitation of outputting wrong result with high confidence when the input is not well represented in the training...
Saved in:
Main Author: | Xu, Jin |
---|---|
Other Authors: | Xie Ming |
Format: | Thesis-Doctor of Philosophy |
Language: | English |
Published: |
Nanyang Technological University
2021
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/146731 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Automatic recognition of facial expressions
by: Gee, Cheng Mun
Published: (2020) -
Towards interpretable & robust face recognition
by: Pattra, Surya Paryanta
Published: (2022) -
Towards interpretable & robust occluded facial recognition
by: Rachita, Agrawal
Published: (2023) -
Super-resolution image reconstruction and applications
by: Tang, Kuan Yang
Published: (2022) -
Deep learning based car license plate recognition
by: Ngo, Jason Jun Hao
Published: (2021)