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Sponsored by
iMean AI Trip Planner
tue-mps / coco_panoptic_eomt_large_1280_dinov3
Model's Last Updated: November 07 2025
image-segmentation
Introduction of coco_panoptic_eomt_large_1280_dinov3
Model Details of coco_panoptic_eomt_large_1280_dinov3
EoMT
EoMT (Encoder-only Mask Transformer)
is a Vision Transformer (ViT) architecture designed for high-quality and efficient image segmentation. It was introduced in the CVPR 2025 highlight paper:
Your ViT is Secretly an Image Segmentation Model
by Tommie Kerssies, Niccolò Cavagnero, Alexander Hermans, Narges Norouzi, Giuseppe Averta, Bastian Leibe, Gijs Dubbelman, and Daan de Geus.
Key Insight : Given sufficient scale and pretraining, a plain ViT along with additional few params can perform segmentation without the need for task-specific decoders or pixel fusion modules. The same model backbone supports semantic, instance, and panoptic segmentation with different post-processing 🤗
The original implementation can be found in this repository
Runs of tue-mps coco_panoptic_eomt_large_1280_dinov3 on huggingface.co
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More Information About coco_panoptic_eomt_large_1280_dinov3 huggingface.co Model
Url of coco_panoptic_eomt_large_1280_dinov3
coco_panoptic_eomt_large_1280_dinov3 huggingface.co Url
Provider of coco_panoptic_eomt_large_1280_dinov3 huggingface.co
Other API from tue-mps
Updated:September 18 2025
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