Formula-Driven Supervised Learning in Computer Vision: A Literature Survey
Current computer vision research uses huge datasets with millions of images to pre-train vision models. This results in escalation of time and capital, ethical issues, moral issues, privacy issues, copyright issues, fairness issues, and others. To address these issues, several alternative learning s...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-01-01
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Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/13/2/723 |