ade20k_semantic_pmt_large_512_dinov3

tue-mps/ade20k_semantic_pmt_large_512_dinov3

ade20k_semantic_pmt_large_512_dinov3 is a image segmentation model from tue-mps. Use it for the image segmentation task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as mit.

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Updated Mar 27, 2026

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At a glance

Task: Image Segmentation
Library: transformers
License: mit
Access: Public
Created: Mar 26, 2026
Updated: Mar 27, 2026
SHA: 506d077f

Datasets

ade20k

Model card

From the Hugging Face model README

PMT-DINOv3 (Large, 512px) for ADE20K Semantic Segmentation

Overview

This is the large variant of the PMT-DINOv3 model trained for semantic segmentation on ADE20K at 512x512 resolution.

Model Details

Property	Value
Backbone	DINOv3 ViT-L/16
Input Resolution	512x512
Task	Semantic Segmentation
Dataset	ADE20K

Citation

@inproceedings{cavagnero2026pmt,
    author    = {Cavagnero, Niccolò and Norouzi, Narges and Dubbelman, Gijs and de Geus, Daan},
    title     = {PMT: Plain Mask Transformer for Image and Video Segmentation with Frozen Vision Encoders},
    booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)},
    year      = {2026},
}

Acknowledgements

Original implementation: tue-mps/pmt
Paper: arXiv:2503.19108

Task: Image Segmentation
Library: transformers
License: mit
Created: Mar 26, 2026
Updated: Mar 27, 2026