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Deep Learning in Computer Vision: Principles and Applications
Abstract
Deep learning algorithms have brought a revolution to the computer vision community by introducing non-traditional and efficient solutions to several image-related problems that had long remained u ...
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“With the development of deep learning technology, deep learning-based object detection methods have been rapidly improved and advanced [7, 8].”
From A deep learning model for steel surface defect detection (2024) · cites this paper as [8]
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“In terms of the network architecture developments [3, 18], after stacking over ten CNN layers of VGGNet[17] and GoogLeNet [22], ResNet [4] has been one of the most successful approaches with an identity shortcut connection, as shown in Fig.”
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“The algorithms of deep learning [9] are suspicious spaces of research into the computerized complex features extraction.”
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Metadata
- Authors
- Hassaballah, M., & Awad, A. I.
- Venue
- CRC Press eBooks
- Publisher
- CRC Press
- Published
- 2020-03-23
- OpenAlex
- W3013682536
- Cited by
- 192
- References
- 0
- Citations by year
- 2026: 6 · 2025: 13 · 2024: 29 · 2023: 41 · 2022: 43 · 2021: 42 · 2020: 18
- Type
- reference entry
- Language
- en
- Open access
- closed
- Locations
- CRC Press eBooks (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Neural Network Applications
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Image and Video Retrieval Techniques
- Physical Sciences › Computer Science › Artificial Intelligence › Domain Adaptation and Few-Shot Learning
- Keywords
- deep learning, computer vision
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