| --- |
| language: en |
| license: mit |
| size_categories: 1K<n<10K |
| pretty_name: ABO-Image-ARES |
| tags: |
| - referring-segmentation |
| - RES |
| - computer-vision |
| - benchmark |
| - arxiv:2505.02867 |
| - neurips-2025 |
| paperswithcode_id: resanything-attribute-prompting-for-arbitrary |
| task_categories: |
| - image-segmentation |
| - text-to-image |
| --- |
| |
| # ABO-Image-ARES |
|
|
| Dataset from the paper **"RESAnything: Attribute Prompting for Arbitrary Referring Segmentation"** (NeurIPS 2025). |
|
|
| ## Paper |
| - **arXiv:** [2505.02867](https://arxiv.org/abs/2505.02867) |
| - **Hugging Face Paper Page:** [hf.co/papers/2505.02867](https://huggingface.co/papers/2505.02867) |
| - **Project Page:** [suikei-wang.github.io/RESAnything](https://suikei-wang.github.io/RESAnything/) |
| - **Code:** [github.com/suikei-wang/RESAnything](https://github.com/suikei-wang/RESAnything) |
|
|
| ## Citation |
| ```bibtex |
| @inproceedings{wang2025neurips-resanything, |
| title={{RESAnything: Attribute Prompting for Arbitrary Referring Segmentation}}, |
| author={Wang, Ruiqi and Zhang, Hao}, |
| booktitle={Advances in Neural Information Processing Systems}, |
| year={2025} |
| } |
