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Found 3 papers, 2 papers with code
Towards Generalized Few-Shot Open-Set Object Detection
In this paper, we seek a solution for the generalized few-shot open-set object detection (G-FOOD), which aims to avoid detecting unknown classes as known classes with a high confidence score while maintaining the performance of few-shot detection.
SIGAN: A Novel Image Generation Method for Solar Cell Defect Segmentation and Augmentation
Moreover, we release a new solar cell EL image dataset named as EL-2019, which includes three types of images: crack, finger interruption and defect-free.
BAF-Detector: An Efficient CNN-Based Detector for Photovoltaic Cell Defect Detection
Finally, the experimental results on a large-scale EL dataset including 3629 images, 2129 of which are defective, show that the proposed method achieves 98. 70% (F-measure), 88. 07% (mAP), and 73. 29% (IoU) in terms of multi-scale defects classification and detection results in raw PV cell EL images.
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