ShuffleNet V2 Downsampling Block is a block for spatial downsampling used in the ShuffleNet V2 architecture. Unlike the regular ShuffleNet V2 block, the channel split operator is removed so the number of output channels is doubled.
Source: ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture DesignPaper | Code | Results | Date | Stars |
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Task | Papers | Share |
---|---|---|
Image Classification | 4 | 21.05% |
Object Detection | 4 | 21.05% |
General Classification | 2 | 10.53% |
Semantic Segmentation | 2 | 10.53% |
Adversarial Attack | 1 | 5.26% |
Adversarial Robustness | 1 | 5.26% |
Self-Driving Cars | 1 | 5.26% |
Real-Time Object Detection | 1 | 5.26% |
Real-Time Semantic Segmentation | 1 | 5.26% |