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:
Latest Papers
| PAPER | DATE |
|---|---|
|
CornerNet-Lite: Efficient Keypoint Based Object Detection
|
2019-04-18 |
Tasks
| TASK | PAPERS | SHARE |
|---|---|---|
| Object Detection | 1 | 50.00% |
| Real-Time Object Detection | 1 | 50.00% |
Usage Over Time
Components
| COMPONENT | TYPE |
|
|---|---|---|
CornerNet-Squeeze Hourglass
|
Convolutional Neural Networks | |
Corner Pooling
|
Pooling Operations |