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# APD | ||
**Adaptive Perspective Distillation for Semantic Segmentation** | ||
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Zhuotao Tian*; Pengguang Chen*; Xin Lai; Li Jiang; Shu Liu; Hengshuang Zhao; Bei Yu; Ming-Chang Yang; Jiaya Jia | ||
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This project provides an implementation for the TPAMI 2022 paper "[Adaptive Perspective Distillation for Semantic Segmentation](https://ieeexplore.ieee.org/document/9736597)" | ||
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## Environment | ||
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We verify our code on | ||
* 4x3090 GPUs | ||
* CUDA 11.1 | ||
* python 3.9 | ||
* torch 1.12.1 | ||
* torchvision 0.13.1 | ||
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Other similar envirouments should also work properly. | ||
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## Installation | ||
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``` | ||
git clone [email protected]:akuxcw/APD.git | ||
cd APD/ | ||
``` | ||
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## Results | ||
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| Dataset | Student | Teacher | Baseline | Ours | | ||
|----------------|------------|-------------|----------|-------| | ||
| ade20k | PSPNet-R18 | PSPNet-R101 | 37.19 | 39.25 | | ||
| cityscapes | PSPNet-R18 | PSPNet-R101 | 74.15 | 75.68 | | ||
| pascal context | PSPNet-R18 | PSPNet-R101 | 42.29 | 43.96 | | ||
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## Training | ||
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Use the following command to train PSPNet-R18 on ade20k with APD | ||
``` | ||
bash ./tool/train.sh ade20k release_psp18_psp101 | ||
``` | ||
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## <a name="Citation"></a>Citation | ||
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Please consider citing ReviewKD in your publications if it helps your research. | ||
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```bib | ||
@article{APD, | ||
author = {Zhuotao Tian and | ||
Pengguang Chen and | ||
Xin Lai and | ||
Li Jiang and | ||
Shu Liu and | ||
Hengshuang Zhao and | ||
Bei Yu and | ||
Ming{-}Chang Yang and | ||
Jiaya Jia}, | ||
title = {Adaptive Perspective Distillation for Semantic Segmentation}, | ||
journal = {{IEEE} Trans. Pattern Anal. Mach. Intell.}, | ||
pages = {1372--1387}, | ||
year = {2023} | ||
}} | ||
``` |