BGNet
Segment images in real‑time on device.
BGNet or Boundary‑Guided Network, is a model designed for camouflaged object detection. It leverages edge semantics to enhance the representation learning process, making it more effective at identifying objects that blend into their surroundings
Technical Details
Model checkpoint:BGNet
Input resolution:416x416
Number of parameters:77.8M
Model size:297 MB
Applicable Scenarios
- Self-driving cars
Licenses
Deployable Model:AI Model Hub License
Tags
- real-time
Supported Automotive Devices
- SA7255P ADP
- SA8255 (Proxy)
- SA8295P ADP
- SA8650 (Proxy)
- SA8775P ADP
Supported Automotive Chipsets
- Qualcomm® SA7255P
- Qualcomm® SA8255P (Proxy)
- Qualcomm® SA8295P
- Qualcomm® SA8650P (Proxy)
- Qualcomm® SA8775P
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