diff --git a/README.md b/README.md index be13ce2..d99ac49 100644 --- a/README.md +++ b/README.md @@ -22,7 +22,7 @@ This official repository contains the source code, pre-trained, trained checkpoints, and evaluation toolbox of paper 'DFormer: Rethinking RGBD Representation Learning for Semantic Segmentation'. The technical report could be found at [arXiv](https://arxiv.org/pdf/2309.09668.pdf). The code for pre-training and RGB-D saliency will be released soon. -We invite all to contribute in making it more acessible and useful. If you have any questions about our work, feel free to contact me via e-mail (bowenyin@mail.nankai.edu.cn). If you are using our code and evaluation toolbox for your research, please cite this paper ([BibTeX](https://scholar.googleusercontent.com/scholar.bib?q=info:GdonbkKZMYsJ:scholar.google.com/&output=citation&scisdr=ClEqKQU5EL_6hIbkmOc:AFWwaeYAAAAAZQvigOeM_E2bhS0d1niD6tYkedk&scisig=AFWwaeYAAAAAZQvigF3P1qyHXOMhOEt-zalsD8w&scisf=4&ct=citation&cd=-1&hl=zh-CN)). +We invite all to contribute in making it more accessible and useful. If you have any questions about our work, feel free to contact me via e-mail (bowenyin@mail.nankai.edu.cn). If you are using our code and evaluation toolbox for your research, please cite this paper ([BibTeX](https://scholar.googleusercontent.com/scholar.bib?q=info:GdonbkKZMYsJ:scholar.google.com/&output=citation&scisdr=ClEqKQU5EL_6hIbkmOc:AFWwaeYAAAAAZQvigOeM_E2bhS0d1niD6tYkedk&scisig=AFWwaeYAAAAAZQvigF3P1qyHXOMhOEt-zalsD8w&scisf=4&ct=citation&cd=-1&hl=zh-CN)). @@ -171,7 +171,7 @@ bash eval.sh - [ ] Release the code of RGB-D pre-training. - [ ] Release the DFormer code for RGB-D salient obejct detection. -> We invite all to contribute in making it more acessible and useful. If you have any questions or suggestions about our work, feel free to contact me via e-mail (bowenyin@mail.nankai.edu.cn) or raise an issue. +> We invite all to contribute in making it more accessible and useful. If you have any questions or suggestions about our work, feel free to contact me via e-mail (bowenyin@mail.nankai.edu.cn) or raise an issue. ## Reference