Corn-associated weed detection model based on WAAP-YOLO
To address the challenges of corn-associated weed detection, such as diverse shapes, dense occlusion, complex backgrounds and scale variation, an improved object detection model, WAAP-YOLO, was proposed. First, the backbone was improved by replacing some convolutions with wavelet pooling convolution...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Hebei University of Science and Technology
2025-08-01
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| Series: | Journal of Hebei University of Science and Technology |
| Subjects: | |
| Online Access: | https://xuebao.hebust.edu.cn/hbkjdx/article/pdf/b202504004?st=article_issue |
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