MiB (CVPR'2020)
@inproceedings{cermelli2020modeling,
title={Modeling the background for incremental learning in semantic segmentation},
author={Cermelli, Fabio and Mancini, Massimiliano and Bulo, Samuel Rota and Ricci, Elisa and Caputo, Barbara},
booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
pages={9233--9242},
year={2020}
}
Backbone | Crop Size | Setting | mIoU | Download |
---|---|---|---|---|
R-101-D16 | 512x512 | 15-5-disjoint | 66.1% | cfg | modellinks-per-step | log |
R-101-D16 | 512x512 | 15-5-overlapped | 70.2% | cfg | modellinks-per-step | log |
R-101-D16 | 512x512 | 15-1-disjoint | 40.7% | cfg | modellinks-per-step | log |
R-101-D16 | 512x512 | 15-1-overlapped | 34.6% | cfg | modellinks-per-step | log |
R-101-D16 | 512x512 | 10-1-disjoint | 9.9% | cfg | modellinks-per-step | log |
R-101-D16 | 512x512 | 10-1-overlapped | 21.1% | cfg | modellinks-per-step | log |
Backbone | Crop Size | Setting | mIoU | Download |
---|---|---|---|---|
R-101-D16 | 512x512 | 100-50-disjoint | cfg | modellinks-per-step | log | |
R-101-D16 | 512x512 | 100-50-overlapped | cfg | modellinks-per-step | log | |
R-101-D16 | 512x512 | 100-10-disjoint | cfg | modellinks-per-step | log | |
R-101-D16 | 512x512 | 100-10-overlapped | cfg | modellinks-per-step | log | |
R-101-D16 | 512x512 | 100-5-disjoint | cfg | modellinks-per-step | log | |
R-101-D16 | 512x512 | 100-5-overlapped | cfg | modellinks-per-step | log |
You can also download the model weights from following sources:
- BaiduNetdisk: https://pan.baidu.com/s/1e9LlD6ITuLECstFcVPaCxQ with access code 55mq