├── LICENSE
└── README.md


/LICENSE:
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 1 | MIT License
 2 | 
 3 | Copyright (c) 2020 ycszen
 4 | 
 5 | Permission is hereby granted, free of charge, to any person obtaining a copy
 6 | of this software and associated documentation files (the "Software"), to deal
 7 | in the Software without restriction, including without limitation the rights
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 9 | copies of the Software, and to permit persons to whom the Software is
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12 | The above copyright notice and this permission notice shall be included in all
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15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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/README.md:
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 1 | # Representative Graph Neural Network(ECCV2020)
 2 | 
 3 | Implementation for "Representative Graph Neural Network"
 4 | 
 5 | 
 6 | ## News
 7 | The RepGraph layer is around 17 times smaller in computation complexity and over 5 times faster than Non-local with a 256x128 input.
 8 | 
 9 | On the semantic segmentation task, we achieve 45.8% mean IoU on ADE20K val set, 53.9% mIoU on PASCAL-Context, and 81.5% mIoU on Cityscapes.
10 | 
11 | On the object detection/segmentation task, we achieve 39.6 AP^box (vs. 39.0 of NL) and 36.0 AP^mask (vs. 35.5 of NL).
12 | 
13 | ## Citation
14 | Please consider citing the RepGraph in your publications if it helps your research.
15 | 
16 | ```
17 | @inproceedings{Yu-ECCV-RepGraph-2020,
18 |   title={Representative Graph Neural Network},
19 |   author={Yu, Changqian and Liu, Yifan and Gao, Changxin and Shen, Chunhua and Sang, Nong},
20 |   booktitle={Proceedings of the European Conference on Computer Vision (ECCV)},
21 |   year={2020},
22 | }
23 | ```
24 | 


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