This is the Linux app named MaskFormer whose latest release can be downloaded as MaskFormersourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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DESCRIPTION
MaskFormer is a unified framework for image segmentation developed by Facebook Research, designed to bridge the gap between semantic, instance, and panoptic segmentation within a single architecture. Unlike traditional segmentation pipelines that treat these tasks separately, MaskFormer reformulates segmentation as a mask classification problem, enabling a consistent and efficient approach across multiple segmentation domains. Built on top of Detectron2, it supports a wide range of datasets including ADE20K, Cityscapes, COCO-Stuff, and Mapillary Vistas, and provides pretrained baselines for each. The model achieves strong performance and scalability while simplifying training and evaluation workflows. Its successor, Mask2Former, extends the same meta-architecture to achieve state-of-the-art results across all major segmentation benchmarks. MaskFormer’s modular design, dataset integration, and compatibility with existing Detectron2 models make it an essential research tool.
Comment ça marche
- Unified architecture for semantic, instance, and panoptic segmentation
- Built on Detectron2 with full compatibility across models and datasets
- Supports ADE20K, Cityscapes, COCO-Stuff, and Mapillary Vistas datasets
- Reformulates segmentation as a mask classification task for efficiency
- Includes pretrained baselines and a comprehensive model zoo
- Foundation for Mask2Former, achieving state-of-the-art segmentation results
Langage de programmation
Python
Catégories
This is an application that can also be fetched from https://sourceforge.net/projects/maskformer.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
