WebThe recent success of convolutional neural networks has led to the development of a variety of new effective and efficient architectures. However, few of them have been designed for … WebAbstractDeep learning has become the main solution for face recognition applications due to its high accuracy and robustness. In recent years, a batch of research on lightweight …
Python ShuffleFaceNet.inference Examples
WebPython ShuffleFaceNet.inference - 2 examples found. These are the top rated real world Python examples of nets.ShuffleFaceNet.inference extracted from open source projects. … WebOct 1, 2024 · Table 1. ShuffleFaceNet architecture for four different levels of complexity. - "ShuffleFaceNet: A Lightweight Face Architecture for Efficient and Highly-Accurate Face … fair work contractor or employee
[1908.09124] SeesawFaceNets: sparse and robust face …
WebHuman faces in surveillance videos often suffer from severe image blur, dramatic pose variations, and occlusion. In this paper, we propose a comprehensive framework based on … WebAug 10, 2024 · Compared to ShuffleFaceNet, we also obtain a smaller model with a drop of accuracy within 0.5%. Our method is also superior to the ShiftFaceNet in terms of both accuracy and model size. Using latency as the direct metric to measure the computation complexity, our model is 5 ms faster than the fastest MobileFaceNet. WebPython ShuffleFaceNet.inference - 2 examples found. These are the top rated real world Python examples of nets.ShuffleFaceNet.inference extracted from open source projects. You can rate examples to help us improve the quality of examples. Programming Language: Python. Namespace/Package Name: nets ... do it for the duck taxi