A Clearer and Simpler MobileNet Implementation in TensorFlow
Sound event detection with depthwise separable and dilated convolutions.
DenseShuffleNet for Semantic Segmentation using Caffe for Cityscapes and Mapillary Vistas Dataset
EDSR with depthwise separable convolution
A classifier to identify and differentiate between 4 of the 5 WBC(White Blood Cells) subtypes
Notebook and resources for https://predictiveprogrammer.com/convolution-and-variants/
Implementation and research paper of MobileNet
The preparation for the Lung X-Ray Mask Segmentation project included the use of augmentation methods like flipping to improve the dataset, along with measures to ensure data uniformity and quality. The model architecture was explored with two types of ResNets: the traditional CNN layers and Depthwise Separable.
MobileNet Implementation of Torch Implemenetation of "MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications"
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