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.

Technical Details

Model checkpoint:pspnet101_ade20k.pth
Input resolution:1x3x473x473
Number of parameters:65.7M
Model size (float):251 MB

Applicable Scenarios

    Licenses

    Source Model:MIT
    Deployable Model:AI-HUB-MODELS-LICENSE

    Supported Devices

    • QCS8275 (Proxy)
    • QCS8450 (Proxy)
    • QCS8550 (Proxy)
    • QCS9075 (Proxy)
    • 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 S25
    • Samsung Galaxy S25 Ultra
    • Samsung Galaxy S25+
    • Samsung Galaxy Tab S8
    • Snapdragon 8 Elite Gen 5 QRD
    • Snapdragon X Elite CRD
    • Snapdragon X Plus 8-Core CRD
    • Xiaomi 12
    • Xiaomi 12 Pro
    • XR2 Gen 2 (Proxy)

    Supported Chipsets

    • Qualcomm® QCS8275 (Proxy)
    • Qualcomm® QCS8550 (Proxy)
    • Qualcomm® QCS9075 (Proxy)
    • Snapdragon® 8 Elite For Galaxy Mobile
    • Snapdragon® 8 Elite Gen5 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

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