Object Detection Models
CornerNet-Squeeze
Introduced by Law et al. in CornerNet-Lite: Efficient Keypoint Based Object DetectionCornerNet-Squeeze is an object detector that extends CornerNet with a new compact hourglass architecture that makes use of fire modules with depthwise separable convolutions.
Source: CornerNet-Lite: Efficient Keypoint Based Object Detection
Papers
| Paper | Code | Results | Date | Stars |
|---|
Usage Over Time
Components
| Component | Type |
|
|---|---|---|
CornerNet-Squeeze Hourglass
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Convolutional Neural Networks | |
Corner Pooling
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Pooling Operations |
