TruingDet: Towards high-quality visual automatic defect inspection for mental surface
• Deformable convolution and balanced feature pyramid are introduced to address the irregular variations in shape and scale variations respectively. • High-quality localization result is obtained based on the cascade head module. • The proposed model achieves state-of-the-art (SOTA) results on COCO...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Liu, Zhenyu [verfasserIn] |
|---|
| Format: |
E-Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2021 |
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| Übergeordnetes Werk: |
Enthalten in: Performance enhancement strategies of a hybrid solar chimney power plant integrated with photovoltaic panel - Pratap Singh, Ajeet ELSEVIER, 2020, Amsterdam [u.a.] |
|---|---|
| Übergeordnetes Werk: |
volume:138 ; year:2021 ; pages:0 |
| Links: |
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| DOI / URN: |
10.1016/j.optlaseng.2020.106423 |
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ELV052229548 |
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| 520 | |a • Deformable convolution and balanced feature pyramid are introduced to address the irregular variations in shape and scale variations respectively. • High-quality localization result is obtained based on the cascade head module. • The proposed model achieves state-of-the-art (SOTA) results on COCO mean Average Precision (mAP) metrics compared with baseline and other popular detectors. | ||
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• Deformable convolution and balanced feature pyramid are introduced to address the irregular variations in shape and scale variations respectively. • High-quality localization result is obtained based on the cascade head module. • The proposed model achieves state-of-the-art (SOTA) results on COCO mean Average Precision (mAP) metrics compared with baseline and other popular detectors. |
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• Deformable convolution and balanced feature pyramid are introduced to address the irregular variations in shape and scale variations respectively. • High-quality localization result is obtained based on the cascade head module. • The proposed model achieves state-of-the-art (SOTA) results on COCO mean Average Precision (mAP) metrics compared with baseline and other popular detectors. |
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• Deformable convolution and balanced feature pyramid are introduced to address the irregular variations in shape and scale variations respectively. • High-quality localization result is obtained based on the cascade head module. • The proposed model achieves state-of-the-art (SOTA) results on COCO mean Average Precision (mAP) metrics compared with baseline and other popular detectors. |
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