CAF (TMM'2022)
@article{yang2022continual,
title={Continual attentive fusion for incremental learning in semantic segmentation},
author={Yang, Guanglei and Fini, Enrico and Xu, Dan and Rota, Paolo and Ding, Mingli and Hao, Tang and Alameda-Pineda, Xavier and Ricci, Elisa},
journal={IEEE Transactions on Multimedia},
year={2022},
publisher={IEEE}
}
Backbone | Crop Size | Setting | mIoU | Download |
---|---|---|---|---|
R-101-D16 | 512x512 | 15-5-disjoint | cfg | modellinks-per-step | log | |
R-101-D16 | 512x512 | 15-5-overlapped | cfg | modellinks-per-step | log | |
R-101-D16 | 512x512 | 15-1-disjoint | cfg | modellinks-per-step | log | |
R-101-D16 | 512x512 | 15-1-overlapped | cfg | modellinks-per-step | log | |
R-101-D16 | 512x512 | 10-1-disjoint | cfg | modellinks-per-step | log | |
R-101-D16 | 512x512 | 10-1-overlapped | 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