PMT-DINOv3 (Base, 640px) for COCO Panoptic Segmentation

PyTorch Transformers

Overview

This is the base variant of the PMT-DINOv3 model trained for panoptic segmentation on COCO at 640x640 resolution.

Model Details

Property Value
Backbone DINOv3 ViT-B/16
Input Resolution 640x640
Task Panoptic Segmentation
Dataset COCO

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

Downloads last month

-

Downloads are not tracked for this model. How to track
Safetensors
Model size
30.4M params
Tensor type
F32
·
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Model tree for tue-mps/coco_panoptic_pmt_base_640_dinov3

Unable to build the model tree, the base model loops to the model itself. Learn more.

Papers for tue-mps/coco_panoptic_pmt_base_640_dinov3