Hybrid Pooling and Convolutional Network for Improving Accuracy and Training Convergence Speed in Object Detection
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arXiv
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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
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| _version_ | 1866917557746794496 |
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| author | Zhao, Shiwen Wang, Wei Hou, Junhui Wu, Hai |
| author_facet | Zhao, Shiwen Wang, Wei Hou, Junhui Wu, Hai |
| contents | This paper introduces HPC-Net, a high-precision and rapidly convergent object detection network. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2401_01134 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Hybrid Pooling and Convolutional Network for Improving Accuracy and Training Convergence Speed in Object Detection Zhao, Shiwen Wang, Wei Hou, Junhui Wu, Hai Computer Vision and Pattern Recognition This paper introduces HPC-Net, a high-precision and rapidly convergent object detection network. |
| title | Hybrid Pooling and Convolutional Network for Improving Accuracy and Training Convergence Speed in Object Detection |
| topic | Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2401.01134 |