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HIPIE
KonstantinosKK/HIPIE
HIPIE is a machine learning model from KonstantinosKK. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
PyTorch implementation of HIPIE from "Hierarchical Open-vocabulary Universal Image Segmentation" (Wang et al., NeurIPS 2023).
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Updated Jun 19, 2025
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At a glance
- License
- mit
- Access
- Public
- Created
- Jun 19, 2025
- Updated
- Jun 19, 2025
- SHA
- 2bde18e6
Model card
From the Hugging Face model README
HIPIE: Hierarchical Open-vocabulary Universal Image Segmentation
PyTorch implementation of HIPIE from "Hierarchical Open-vocabulary Universal Image Segmentation" (Wang et al., NeurIPS 2023).
Pretrained Weights
We provide ViT-H and ResNet-50 weights for hierarchical and part-aware image segmentation across multiple datasets:
| Format | Filename | Description |
|---|---|---|
| ViT-H (O365, COCO, RefCOCO, PACO) | vit_h_cloud.pth | Pretrained with O365,COCO,RefCOCO,PACO |
| ViT-H (COCO, RefCOCO, Pascal-Parts) | vit_h_cloud_parts.pth | Finetuned on COCO,RefCOCO,Pascal-Parts |
| ResNet-50 (Pascal-Parts) | r50_parts.pth | Pretrained with O365,COCO,RefCOCO,Pascal Panoptic Parts |
Usage
For demo notebooks, model configs, and inference scripts, see the GitHub repository.
Citation
@inproceedings{wang2023hierarchical,
title={Hierarchical Open-vocabulary Universal Image Segmentation},
author={Wang, Xudong and Li, Shufan and Kallidromitis, Konstantinos and Kato, Yusuke and Kozuka, Kazuki and Darrell, Trevor},
booktitle={Thirty-seventh Conference on Neural Information Processing Systems},
year={2023}
}
- License
- mit
- Created
- Jun 19, 2025
- Updated
- Jun 19, 2025