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About Object Detection With Deep Learning: A Review
This paper reviews object detection with deep learning. It begins with a brief introduction of deep learning and convolutional neural networks. It then summarizes several popular generic object detection architectures that use deep learning, along with techniques to improve performance. It also briefly surveys specific detection tasks like salient object detection, face detection, and pedestrian detection. Experimental comparisons of methods are provided. Finally, promising directions for future work in object detection and neural network-based learning systems are discussed.
Detailed Information
| Author: | ['vikky shrma'] |
|---|---|
| Publication Year: | 2019 |
| Pages: | 21 |
| Language: | English |
| Format: | |
| Price: | FREE |
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