On Accuracy Enhancement of No-Reference Error-Tolerability Testing for Images in Object Detection Applications Based on RGB Channel Characteristics
Author:
Affiliation:
1. National Sun Yat-sen University,Department of Electrical Engineering,Kaohsiung,Taiwan
2. Hiroshima City University,Graduate School of Information Sciences,Hiroshima,Japan
Funder
National Science and Technology Council
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10661305/10661306/10661349.pdf?arnumber=10661349
Reference19 articles.
1. Defect and error tolerance in the presence of massive numbers of defects
2. No-Reference Video Quality Assessment with Heterogeneous Knowledge Ensemble
3. UGC-VQA: Benchmarking Blind Video Quality Assessment for User Generated Content
4. A no-reference error-tolerability test technique for videos via edge and extreme-value checking and its hardware implementation
5. Testability and Dependability of AI Hardware: Survey, Trends, Challenges, and Perspectives
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