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About I Jeter 039112021
This document reviews and compares convolutional neural network backbones that are commonly used in object detection models. It first discusses traditional object detection methods and deep learning-based methods. For deep learning approaches, it describes the typical architecture including backbone networks, neck, and heads. It then reviews several popular two-stage object detection models from R-CNN to Mask R-CNN and their improvements over time. Finally, it discusses commonly used backbone networks for object detection like VGG, ResNet, and how they are utilized to extract features in object detection pipelines.
Detailed Information
| Author: | ['WARSE Journals'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 8 |
| Language: | English |
| Format: | |
| Price: | FREE |
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