BiseNet
Segment images or video by class in real‑time on device.
BiSeNet (Bilateral Segmentation Network) is a novel architecture designed for real‑time semantic segmentation. It addresses the challenge of balancing spatial resolution and receptive field by employing a Spatial Path to preserve high‑resolution features and a context path to capture sufficient receptive field.
Technical Details
Model checkpoint:best_dice_loss_miou_0.655.pth
Inference latency:RealTime
Input resolution:720x960
Number of parameters:12.0M
Model size:45.7 MB
Applicable Scenarios
- Self-driving cars
Licenses
Deployable Model:AI Model Hub 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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