DeeplabV3+ Model with CBAM and CSPM Attention Mechanism for Navel Orange Defects Segmentation
Accurate defect detection of navel oranges is the key to ensuring the quality of navel oranges and extending their storage life. An improved DeeplabV3+ model integrating attention mechanism is proposed to increase the current low recognition accuracy and slow detection speed of defect detection in n...
الحاوية / القاعدة: | International Journal of Advanced Computer Science and Applications |
---|---|
المؤلف الرئيسي: | 2-s2.0-86000673018 |
التنسيق: | مقال |
اللغة: | English |
منشور في: |
Science and Information Organization
2024
|
الوصول للمادة أونلاين: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-86000673018&doi=10.14569%2fIJACSA.2024.0150919&partnerID=40&md5=ae170e51f5422c557c37a5806aa93feb |
مواد مشابهة
-
Road Image Segmentation using Unmanned Aerial Vehicle Images and DeepLab V3+ Semantic Segmentation Model
بواسطة: 2-s2.0-85116203675
منشور في: (2021) -
A chip X-ray image bubble defect detection model combined with Dual-Former attention mechanism
بواسطة: Li A.; Hamzah R.; Rahim S.K.N.A.
منشور في: (2025) -
A chip X-ray image bubble defect detection model combined with Dual-Former attention mechanism
بواسطة: Li, وآخرون
منشور في: (2025) -
A chip X-ray image bubble defect detection model combined with Dual-Former attention mechanism
بواسطة: 2-s2.0-85216873779
منشور في: (2025) -
A New Attention Mechanism for Semi-Guided Annotation of Very Large-Scale Pavement Defect Labelling in Malaysia Road Images
بواسطة: Maruzuki M.I.F.; Osman M.K.; Setumin S.; Ibrahim A.
منشور في: (2024)