LeafMask: Towards Greater Accuracy on Leaf Segmentation [ICCV 2021 workshop, CVPPA]

By Ruohao Guo, Liao Qu, Dantong Niu, Zhenbo Li, Jun Yue

Introduction

This is the official implementation of the core code of LeafMask paper.

We validate our LeafMask through extensive experiments on Leaf Segmentation Challenge (LSC) dataset. Our proposed model achieves the 90.09% BestDice score outperforming other state-of-the-art approaches.

Citation

Please consider citing our paper in your publications if the project helps your research. BibTeX reference is as follow.

@inproceedings{guo2021leafmask,
  title={LeafMask: Towards Greater Accuracy on Leaf Segmentation},
  author={Guo, Ruohao and Qu, Liao and Niu, Dantong and Li, Zhenbo and Yue, Jun},
  booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision},
  pages={1249--1258},
  year={2021}
}