Convolutional Neural Networks

TResNet

Introduced by Ridnik et al. in TResNet: High Performance GPU-Dedicated Architecture

A TResNet is a variant on a ResNet that aim to boost accuracy while maintaining GPU training and inference efficiency. They contain several design tricks including a SpaceToDepth stem, Anti-Alias downsampling, In-Place Activated BatchNorm, Blocks selection and squeeze-and-excitation layers.

Source: TResNet: High Performance GPU-Dedicated Architecture

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