Virtual Sample Generation Technology for Object Detection with Few-Shot of Workpieces
Author:
Affiliation:
1. Anhui Polytechnic University,Key Laboratory of Advanced Perception and Intelligent Control of High-End Equipment, Ministry of Education,Wuhu,P. R. China,241000
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10239690/10239711/10240029.pdf?arnumber=10240029
Reference24 articles.
1. A Defect Detection Method Based on BC-YOLO for Transmission Line Components in UAV Remote Sensing Images
2. VisDrone-DET2019: The Vision Meets Drone Object Detection in Image Challenge Results
3. YOL Ov 4: Optimal speed and accuracy of object detection[J];bochkovskiy;ArXiv Preprint,2020
4. Novel Virtual Sample Generation Based on Locally Linear Embedding for Optimizing the Few-shot Problem: Case of Soft Sensor Applications[J];zhu;Industrial & Engineering Chemistry Research,2020
5. Weighted sparse representation based on virtual test samples for face recognition
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