Multi-Scale Aligned Distillation for Low-Resolution Detection
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Multi-Scale Aligned Distillation for Low-Resolution Detection
Lu Qi*, Jason Kuen*, Jiuxiang Gu, Zhe Lin, Yi Wang, Yukang Chen, Yanwei Li, Jiaya Jia
This project provides an implementation for the CVPR 2021 paper “Multi-Scale Aligned Distillation for Low-Resolution Detection” based on Detectron2. MSAD targets to detect objects using low-resolution instead of high-resolution image. MSAD could obtain comparable performance in high-resolution image size. Our paper use Slimmable Neural Networks as our pretrained weight.
Installation
This project is based on Detectron2, which can be constructed as follows.
- Install Detectron2 following the instructions. We are noting that our code is checked in detectron2 V0.2.1 (commit version: be792b959bca9af0aacfa04799537856c7a92802) and pytorch 1.4.
- Setup the dataset following the structure.
- Copy this project to
/path/to/detectron2/projects/MSAD
- Download the slimmable networks in the github.