Multi-scale cross-layer fusion and center position network for pedestrian detection
Pedestrian detection has made breakthroughs after the rise of convolutional neural networks. However, it faces some challenging problems, including dataset difference, small pedestrian targets and occlusions between pedestrians. To deal with these problems, we propose a novel convolutional network a...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2024-01-01
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| Series: | Journal of King Saud University: Computer and Information Sciences |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1319157823004408 |
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