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 ArchitecturePaper | Code | Results | Date | Stars |
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Task | Papers | Share |
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Fine-Grained Image Classification | 1 | 20.00% |
General Classification | 1 | 20.00% |
Image Classification | 1 | 20.00% |
Multi-Label Classification | 1 | 20.00% |
Object Detection | 1 | 20.00% |