Depthwise Separable CNN
A depthwise separable convolution is a factorized form of convolution that decomposes a standard convolutional operation into two sequential steps: a depthwise convolution and a pointwise convolution.
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Depthwise separable convolutional neural network (sepCNN)
A depthwise separable convolutional neural network (often abbreviated sepCNN) is a convolutional neural network that replaces standard convolution layers with depthwise separable convolutions.
Feature Pyramid Network (FPN)
A Feature Pyramid Network (FPN) is a generic feature-extraction architecture for object detection and other dense-prediction tasks that builds a multi-scale feature pyramid with strong semantics at every…
Vision Encoder
A vision encoder is the neural network component that turns an image into a sequence of numerical vectors that other models can consume.
Vision Transformer
The Vision Transformer (ViT) is a deep learning architecture that represents an image as a sequence of fixed-size patches and processes that sequence with a Transformer encoder.