ReffAKD: A Machine Learning Method for Generating Soft Labels to Facilitate Knowledge Distillation in Student Models

Deep neural networks like convolutional neural networks (CNNs) have revolutionized various computer vision tasks, from image classification to object detection and segmentation. As models grew larger and more complex, their accuracy soared. However, deploying these resource-hungry giants on devices with limited computing power, such as embedded systems or edge platforms, became increasingly challenging. Knowledge distillation […]

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