Shypd.aiThe largest open index of AI toolsEfficient-3DCNNs is an Open Source & Models tool that provides a PyTorch implementation of "Resource Efficient 3D Convolutional Neural Networks." It includes codes and pretrained models for various 3D CNN architectures, such as SqueezeNet, MobileNet, ShuffleNet, ResNet, and ResNeXt.
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Efficient-3DCNNs offers a PyTorch implementation of "Resource Efficient 3D Convolutional Neural Networks," complete with source code and pretrained models. This repository is designed for developers and researchers working with 3D CNNs, providing a foundation for building and evaluating efficient models. It includes implementations of popular architectures like 3D SqueezeNet, MobileNet, ShuffleNet, and their v2 versions, as well as 3D ResNet and ResNeXt models. The tool supports various datasets such as Kinetics, Jester, and UCF-101, and offers functionalities for training from scratch, resuming training, and fine-tuning with pretrained models. It also includes utilities for data preparation, augmentation, FLOPs calculation, and video accuracy assessment.
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