PSPNet
Deep learning model for pixel‑level semantic segmentation using pyramid pooling.
PSPNet (Pyramid Scene Parsing Network) is a semantic segmentation model that captures global context information by applying pyramid pooling modules. It is designed to improve scene understanding by aggregating contextual features at multiple scales.
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This model is currently not supported on any Compute chipset.
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View for other chipsetsTechnical Details
Input resolution:1x3x473x473
Model checkpoint:pspnet101_ade20k.pth
Model size (float):251 MB
Number of parameters:65.7M
Applicable Scenarios
License
Model:MIT
Supported Compute Devices
- Snapdragon X Elite CRD
- Snapdragon X Plus 8-Core CRD
- Snapdragon X2 Elite CRD
Supported Compute Chipsets
- Snapdragon® X Elite
- Snapdragon® X Plus 8-Core
- Snapdragon® X2 Elite
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