A Depthwise Fire Module is a modification of a Fire Module with depthwise separable convolutions to improve the inference time performance. It is used in the CornerNet-Lite architecture for object detection.
Source: CornerNet-Lite: Efficient Keypoint Based Object DetectionPaper | Code | Results | Date | Stars |
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Component | Type |
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1x1 Convolution
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Convolutions | |
Batch Normalization
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Normalization | |
Depthwise Separable Convolution
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Convolutions | |
ReLU
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Activation Functions |