Object Detection Models
RFB Net
Introduced by Liu et al. in Receptive Field Block Net for Accurate and Fast Object DetectionRFB Net is a one-stage object detector that utilises a receptive field block module. It utilises a VGG16 backbone, and is otherwise quite similar to the SSD architecture.
Source: Receptive Field Block Net for Accurate and Fast Object Detection
Papers
| Paper | Code | Results | Date | Stars |
|---|
Tasks
| Task | Papers | Share |
|---|---|---|
| Face Detection | 1 | 33.33% |
| Object Detection | 1 | 33.33% |
| Real-Time Object Detection | 1 | 33.33% |
Usage Over Time
Components
| Component | Type |
|
|---|---|---|
1x1 Convolution
|
Convolutions | |
Convolution
|
Convolutions | |
RFB
|
Feature Extractors | |
VGG
|
Convolutional Neural Networks |
