AYOLO: Development of a Real-Time Object Detection Model for the Detection of Secretly Cultivated Plants
AYOLO introduces a novel fusion architecture that integrates unsupervised learning techniques with Vision Transformers, leveraging the YOLO series models as its foundation. This innovation enables the effective utilization of rich, unlabeled data, establishing a new pretraining methodology tailored...
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| Main Authors: | Ali Yılmaz, Yüksel Yurtay, Nilüfer Yurtay |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-03-01
|
| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/15/5/2718 |
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