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---
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license: apache-2.0
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---
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license: apache-2.0
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datasets:
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- JunweiZheng/s2d3d
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- JunweiZheng/WildPASS
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- JunweiZheng/matterport3d
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language:
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- en
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metrics:
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- mean_iou
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pipeline_tag: image-segmentation
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tags:
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- code
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---
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# ECCV'24 OPS
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This repository contains the pretrained CLIP model and the OOOPS checkpoints for our ECCV'24 paper: [OPS](https://junweizheng93.github.io/publications/OPS/OPS.html)
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If you're interested in my research topics, feel free to check [my homepage](https://junweizheng93.github.io/) for more findings!
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If you're interested in this model, please cite the following paper:
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```text
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@inproceedings{zheng2024open,
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title={Open Panoramic Segmentation},
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author={Zheng, Junwei and Liu, Ruiping and Chen, Yufan and Peng, Kunyu and Wu, Chengzhi and Yang, Kailun and Zhang, Jiaming and Stiefelhagen, Rainer},
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booktitle={European Conference on Computer Vision (ECCV)},
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year={2024}
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}
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```
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## Pretrained CLIP Model
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You can download the pretrained CLIP model used by OOOPS model: [pretrained CLIP](https://huggingface.co/JunweiZheng/OPS/blob/main/ViT-B-16.pt)
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## OOOPS Checkpoints
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You can find the two checkpoints in this repository: [OOOPS_without_REPR.pt](https://huggingface.co/JunweiZheng/OPS/blob/main/OOOPS_without_REPR.pt) and [OOOPS_with_REPR.pt](https://huggingface.co/JunweiZheng/OPS/blob/main/OOOPS_with_REPR.pt)
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