Image Model Blocks
Depthwise Fire Module
Introduced by Law et al. in CornerNet-Lite: Efficient Keypoint Based Object DetectionA 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 Detection
Papers
| Paper | Code | Results | Date | Stars |
|---|
Usage Over Time
Components
| Component | Type |
|
|---|---|---|
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 |
