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
Supported Form Factors
- Phone
- Tablet
- IoT
Licenses
Deployable Model:AI Model Hub License
Tags
- real-time
Supported Devices
- QCS8275 (Proxy)
- QCS8550 (Proxy)
- QCS9075 (Proxy)
- SA7255P ADP
- SA8255 (Proxy)
- SA8295P ADP
- SA8650 (Proxy)
- SA8775P ADP
- Samsung Galaxy S21
- Samsung Galaxy S21 Ultra
- Samsung Galaxy S21+
- Samsung Galaxy S22 5G
- Samsung Galaxy S22 Ultra 5G
- Samsung Galaxy S22+ 5G
- Samsung Galaxy S23
- Samsung Galaxy S23 Ultra
- Samsung Galaxy S23+
- Samsung Galaxy S24
- Samsung Galaxy S24 Ultra
- Samsung Galaxy S24+
- Samsung Galaxy Tab S8
- Snapdragon 8 Elite QRD
- Snapdragon X Elite CRD
- Snapdragon X Plus 8-Core CRD
- Xiaomi 12
- Xiaomi 12 Pro
Supported Chipsets
- Qualcomm® QCS8275 (Proxy)
- Qualcomm® QCS8550 (Proxy)
- Qualcomm® QCS9075 (Proxy)
- Qualcomm® SA7255P
- Qualcomm® SA8255P (Proxy)
- Qualcomm® SA8295P
- Qualcomm® SA8650P (Proxy)
- Qualcomm® SA8775P
- Snapdragon® 8 Elite Mobile
- Snapdragon® 8 Gen 1 Mobile
- Snapdragon® 8 Gen 2 Mobile
- Snapdragon® 8 Gen 3 Mobile
- Snapdragon® 888 Mobile
- Snapdragon® X Elite
- Snapdragon® X Plus 8-Core
Related Models
See all models
Looking for more? See models created by industry leaders.
Discover Model Makers