18 янв. 2024 г. · MaskFormer addresses instance, semantic and panoptic segmentation with the same paradigm: by predicting a set of masks and corresponding labels. |
Mask2Former addresses instance, semantic and panoptic segmentation with the same paradigm: by predicting a set of masks and corresponding labels. |
8 июн. 2024 г. · maskformer-swin-large-ade excels at dense pixel-level segmentation, able to accurately identify and delineate individual objects and regions ... |
Mask2Former addresses instance, semantic and panoptic segmentation with the same paradigm: by predicting a set of masks and corresponding labels. |
facebook/maskformer-swin-large-ade image-segmentation. shi-labs/oneformer_ade20k_swin_large image-segmentation. nvidia/segformer-b0-finetuned-ade-512-512 ... |
ATYUN(AiTechYun),MaskFormer 在ADE20k语义分割上训练的MaskFormer模型（大型版本，使用Swin骨干）。 它在论文Per-Pixel Classification is Not All,模型介绍，模型下载. |
Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX. - transformers/src/transformers/models/maskformer/modeling_maskformer.py ... |
Currently, MaskFormer only supports the [Swin Transformer](swin) as backbone. Args: mask_feature_size (`int`, *optional*, defaults ... |
19 февр. 2024 г. · Mask2Former for universal image segmentation, tackling semantic, instance, and instance segmentation with one architecture. |
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