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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

Note: BGNet cannot be downloaded directly due to licensing restrictions. You can export a model ready for on-device deployment using the AI Hub service.

Export with AI Hub
Model RepositoryHugging FaceResearch Paper

Technical Details

Model checkpoint:BGNet
Input resolution:416x416
Number of parameters:77.8M
Model size (float):297 MB

Applicable Scenarios

  • Self-driving cars

Licenses

Deployable Model:AI-HUB-MODELS-LICENSE

Tags

  • real-time

Supported IoT Devices

  • QCS8275 (Proxy)
  • QCS8550 (Proxy)
  • QCS9075 (Proxy)

Supported IoT Chipsets

  • Qualcomm® QCS8275 (Proxy)
  • Qualcomm® QCS8550 (Proxy)
  • Qualcomm® QCS9075 (Proxy)

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