ILT (ICCVW'2019)
@inproceedings{michieli2019incremental,
title={Incremental learning techniques for semantic segmentation},
author={Michieli, Umberto and Zanuttigh, Pietro},
booktitle={Proceedings of the IEEE/CVF international conference on computer vision workshops},
pages={0--0},
year={2019}
}
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 | 8.6% | cfg | modellinks-per-step | log |
R-101-D16 | 512x512 | 15-1-overlapped | 9.3% | cfg | modellinks-per-step | log |
R-101-D16 | 512x512 | 10-1-disjoint | 5.4% | cfg | modellinks-per-step | log |
R-101-D16 | 512x512 | 10-1-overlapped | 5.9% | 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