التفاصيل البيبلوغرافية
| العنوان: |
CFM-YOLOv5 overall structure diagram. |
| المؤلفون: |
Yuntao Xu, Peigang Jiao, Jiaqi LIU |
| سنة النشر: |
2023 |
| مصطلحات موضوعية: |
Science Policy, Space Science, Biological Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, Information Systems not elsewhere classified, +aiming%22">xlink "> aiming, standard transformer encoder, metal surface defects, feature extraction ability, experimental results show, greatly improved map, feature enhancement part, improved yolov5 algorithm, improved algorithm, prediction part, reference significance, negative impact, low efficiency, head self, evc module, data set, cfpnet moudle, attention module, analogy experiments, accurately identify, ablation experiments |
| الوصف: |
(1) Backbone uses YOLOv5s-6.0 version. (2) The Neck section adds an EVC module to replace the Transformer. (3) The Predicition module uses four detection heads. |
| نوع الوثيقة: |
still image |
| اللغة: |
unknown |
| العلاقة: |
https://figshare.com/articles/figure/CFM-YOLOv5_overall_structure_diagram_/24767213Test |
| DOI: |
10.1371/journal.pone.0289179.g001 |
| الإتاحة: |
https://doi.org/10.1371/journal.pone.0289179.g001Test
https://figshare.com/articles/figure/CFM-YOLOv5_overall_structure_diagram_/24767213Test |
| حقوق: |
CC BY 4.0 |
| رقم الانضمام: |
edsbas.F08ECCC0 |
| قاعدة البيانات: |
BASE |
