Model optimization using compact network design. Where applicable, Xception-Lite refers to the optimized model architecture.
Here's the paper citation for this repo
Nuh Mih, A., Rahimi, A., Kawnine, A., Palma, F., Dubay, R., Wachowicz, M. & Cao, H. (2024). Achieving Pareto Optimality using Efficient Parameter Reduction for DNNs in Resource-Constrained Edge Environment. In The 37th Canadian Conference on Artificial Intelligence (Canadian AI 2024). Guelph, ON, Canada.