Technique A novel CNN based ensembling technique for Few-Shot Defect Detection, which reduces the parameter count while improving the performances. The model was employed in a practical scenario of detecting faults in large powerline grids. The model was able to outperform all the previous competitors on most of the standard datasets.
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Official TensorFlow implementation of Convolutional Ensembling based Few-Shot Defect Detection Technique [ICVGIP'22]
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