18 янв. 2024 г. · MaskFormer addresses instance, semantic and panoptic segmentation with the same paradigm: by predicting a set of masks and corresponding labels.

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MaskFormer通过预测一组掩码和相应的标签来处理实例、语义和全景分割，因此将这三个任务都视为实例分割。 预期用途与限制.

Mask2Former outperforms the previous SOTA, MaskFormer both in terms of performance an efficiency by (i) replacing the pixel decoder with a more advanced ...

Currently, MaskFormer only supports the [Swin Transformer](swin) as backbone. Args: mask_feature_size (`int`, *optional*, defaults ...

>>> image_processor = AutoImageProcessor.from_pretrained("facebook/maskformer-swin-base-ade") ... facebook/maskformer-swin-base-ade"). >>> model ...

NSDT 3DConvert. Convert 30+ 3D formats online: GLTF, GLB, GBX, OBJ, DAE, IFC, STEP, STL... ... UnrealSynth.

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特别是，我们观察到，当类别数量较大时，MaskFormer 的性能优于像素级分类基线。我们的基于掩码分类的方法优于当前最先进的语义（ADE20K 上55.6 mIoU）和全景分割（COCO 上52.7 ...

13 мар. 2023 г. · For this tutorial, we will use the configuration of the pre-trained facebook/maskformer-swin-base-ade model with a few modifications and fine- ...