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Introduction

Official Repo

Code Snippet

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}
}

Results

PASCAL VOC

PASCAL VOC

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

ADE20k

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

More

You can also download the model weights from following sources: