论文代码:github.com/facebookrese Introduction 近期卷积网络的设计除了注重准确率之外,还需要兼顾运行性能,特别是在移动设备上的运行性能,这使得卷积神经网络的设计变得更加难,主要有以下难点: Intractable design space,由于卷积网络参数很多,导致设计空间十分复杂,目前很多方法提出自动化搜索,能够简化人工设计的流程,但这...
论文代码:https://github.com/facebookresearch/mobile-vision Introduction 近期卷积网络的设计除了注重准确率之外,还需要兼顾运行性能,特别是在移动设备上的运行性能,这使得卷积神经网络的设计变得更加难,主要有以下难点: Intractable design space,由于卷积网络参数很多,导致设计空间十分复杂,目前很多方法提出自动化搜...
论文代码:https://github.com/facebookresearch/mobile-vision Introduction 近期卷积网络的设计除了注重准确率之外,还需要兼顾运行性能,特别是在移动设备上的运行性能,这使得卷积神经网络的设计变得更加难,主要有以下难点: Intractable design space,由于卷积网络参数很多,导致设计空间十分复杂,目前很多方法提出自动化搜...
A 'Test Time Pool' wrapper that can wrap any of the included models and usually provide improved performance doing inference with input images larger than the training size. Idea adapted from original DPN implementation when I ported (https://github.com/cypw/DPNs) ...
A train, validation, inference, and checkpoint cleaning script included in the github root folder. Scripts are not currently packaged in the pip release.TrainingThe variety of training args is large and not all combinations of options (or even options) have been fully tested. For the training ...
PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2/V1, MNASNet, Single-Path NAS, FBNet, and more - GitHub - stivensss/pytorch-image-models: PyTorch image models, scripts, pretrained weights
EfficientNet-Lite (https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet/lite) MixNet (https://arxiv.org/abs/1907.09595) MNASNet B1, A1 (Squeeze-Excite), and Small (https://arxiv.org/abs/1807.11626) MobileNet-V3 (https://arxiv.org/abs/1905.02244) ...
PyTorch Metric Learning -https://github.com/KevinMusgrave/pytorch-metric-learning Object Detection, Instance and Semantic Segmentation Licenses Code The code here is licensed Apache 2.0. I've taken care to make sure any third party code included or adapted has compatible (permissive) licenses such ...
https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet https://github.com/tensorflow/models/tree/master/research/slim/nets/mobilenet PyTorch Hub Models can be accessed via the PyTorch Hub API >>> torch.hub.list('rwightman/gen-efficientnet-pytorch') ['efficientnet_b0', ...]...
A train, validation, inference, and checkpoint cleaning script included in the github root folder. Scripts are not currently packaged in the pip release.TrainingThe variety of training args is large and not all combinations of options (or even options) have been fully tested. For the training ...