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Mixed-Precision Network Quantization for Single-frame Infrared Small Target Segmentation

This is the deployable APK file of the method in our paper "Mixed-Precision Network Quantization for Single-frame Infrared Small Target Segmentation". The reader can easily achieve single-frame infrared small target segmentation on android-based mobile device (e.g., (a) Huawei-M20 with Kyrin810, (b) Realme X7 with Dimensity 800U, (c) Xiaomi 8L with Snapdragon 660).

This APK is trained with ResUnet on the NUAA-SIRST dataset. More edge-device deployable softwares are comming soon. Please keep following our repository.

outline

1. Download SPMix-Q(ResUnet).apk.

2. Install the APK with USB line.

3. Following the pipeline and enjoy it.

  • 3-channel images with jpg format are required. Some candidated images are listed in candidate images file.

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Great Work!!!

Excellent work! Where can I find your paper and dataset?

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