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 |
|---|
Tasks
| Task | Papers | Share |
|---|---|---|
| Object | 1 | 33.33% |
| Object Detection | 1 | 33.33% |
| Real-Time Object Detection | 1 | 33.33% |
Usage Over Time
Components
| Component | Type |
|
|---|---|---|
1x1 Convolution
|
Convolutions | |
Batch Normalization
|
Normalization | |
Depthwise Separable Convolution
|
Convolutions | |
ReLU
|
Activation Functions |
