Multi Model Ensemble Processing

via “ensemble-inference-with-multiple-models”

image-classification model by undefined. 1,74,99,725 downloads.

Unique: MobileNetV3-Small's small parameter count (2.5M) enables practical ensemble deployment with 3-5 models while maintaining <50MB total size and <200ms latency on CPU. The model's depthwise-separable architecture provides natural diversity when trained with different seeds, improving ensemble effectiveness. Custom ensemble averaging with confidence weighting can improve accuracy by 1-2% on ImageNet with minimal latency overhead.

vs others: Ensemble of lightweight models (3× MobileNetV3-Small) achieves higher accuracy than single ResNet-50 with similar latency; enables practical uncertainty quantification without Bayesian approximations or dropout-based methods.