Hyperparameter tuning on seven lightweight models trained on a 90k-image ImageNet subset yields 1.5-3.5% top-1 accuracy gains, with RepVGG-A2 and MobileNetV3-L achieving sub-5ms latency and over 9800 FPS on GPU.
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks,
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Analysis of Hyperparameter Optimization Effects on Lightweight Deep Models for Real-Time Image Classification
Hyperparameter tuning on seven lightweight models trained on a 90k-image ImageNet subset yields 1.5-3.5% top-1 accuracy gains, with RepVGG-A2 and MobileNetV3-L achieving sub-5ms latency and over 9800 FPS on GPU.