Instructions to use refiners/mvanet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Refiners
How to use refiners/mvanet with Refiners:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
| license: mit | |
| library_name: refiners | |
| pipeline_tag: image-segmentation | |
| tags: | |
| - swin | |
| - mvanet | |
| - segmentation | |
| - dichotomous | |
| - DIS | |
| # Multi-view Aggregation Network (MVANet) | |
| ## Citations | |
| ```bibtex | |
| @misc{yu2024multiviewaggregationnetworkdichotomous, | |
| title = {Multi-view Aggregation Network for Dichotomous Image Segmentation}, | |
| author = {Qian Yu and Xiaoqi Zhao and Youwei Pang and Lihe Zhang and Huchuan Lu}, | |
| year = {2024}, | |
| eprint = {2404.07445}, | |
| archiveprefix = {arXiv}, | |
| primaryclass = {cs.CV}, | |
| url = {https://arxiv.org/abs/2404.07445} | |
| } | |
| ``` |