Skip Connection Blocks

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 Search

Papers


Paper Code Results Date Stars

Tasks


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%

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