Wentong Li, Wenyu Liu, Jianke Zhu, Miaomiao Cui, Xiansheng Hua and Lei Zhang
Paper (arXiv). ECCV2022.
-
Inspired by our boxlevelset, BoxSnake is developed. Please see the paper for the details.
-
We develop BoxInstSeg, which is a toolbox for box-supervised instance segmentation. More methods (e.g. BoxInst, DiscoBox, Box2Mask) are updated in it. This survey repo will update the methods on box-supervised instance segmentation.
-
We extend our work to Box2Mask to obtain the powerful performance, which build our method on CNN-based (Box2Mask-C) and Transformer-based (Box2Mask-T) frameworks. Please see our paper (arXiv) for details. The codes and pretrained models for Box2Mask are released in BoxInstSeg.
Visual performance on COCO of our Transformer-based method(Box2Mask-T).
-
This code is for our eccv version paper. The pretrained models are in model_zoo.
-
The codes and pretrained models for Box2Mask are availble in BoxInstSeg.
This implementation is based on MMdetection. Please refer to install.md for detailed installation.
Please see getting_started.md for models training and inference.
@inproceedings{li2022box,
title={Box-supervised Instance Segmentation with Level Set Evolution},
author={Wentong Li, Wenyu Liu, Jianke Zhu, Miaomiao Cui, Xiansheng Hua and Lei Zhang},
booktitle={European Conference on Computer Vision},
pages={1--18},
year={2022}
}@article{li2022box2mask,
title={Box2Mask: Box-supervised Instance Segmentation via Level Set Evolution},
author={Wentong Li, Wenyu Liu, Jianke Zhu, Miaomiao Cui, Risheng Yu, Xiansheng Hua and Lei Zhang},
journal={arXiv},
year={2022}
}This repo will update the survey of box-supervised instance segmentation.
This project is licensed under the Apache License 2.0.