FBNet Block is an image model block used in the FBNet architectures discovered through DNAS neural architecture search. The basic building blocks employed are depthwise convolutions and a residual connection.
Source: FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture SearchPaper | Code | Results | Date | Stars |
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Task | Papers | Share |
---|---|---|
Image Classification | 3 | 20.00% |
Semantic Segmentation | 2 | 13.33% |
Benchmark | 2 | 13.33% |
Autonomous Driving | 1 | 6.67% |
Scene Segmentation | 1 | 6.67% |
Quantization | 1 | 6.67% |
Computer Vision | 1 | 6.67% |
Depth Estimation | 1 | 6.67% |
Instance Segmentation | 1 | 6.67% |