18 янв. 2024 г. · BEiT model pre-trained in a self-supervised fashion on ImageNet-21k (14 million images, 21,841 classes) at resolution 224x224, and fine-tuned on ... |
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Meet the Beit Large Finetuned Ade 640 640 model, a powerful tool for image semantic segmentation. This model is a Vision Transformer (ViT) that's been ... |
31 мая 2023 г. · Tasks · An officially supported task in the examples folder (such as GLUE/SQuAD, ...) · My own task or dataset (give details below) ... |
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Meet the Beit Base Finetuned Ade 640 640 model, a Vision Transformer that's been pre-trained on 14 million images and fine-tuned on thousands of annotated ... |
beit-base-finetuned-ade-640-640 is an open source model from GitHub that offers a free installation service, and any user can find beit-base-finetuned-ade-640- ... |
Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX. - transformers/src/transformers/models/beit/modeling_beit.py at main ... |
BEiT模型以自监督方式在ImageNet-21k(1400万张图片,21841个类别)上进行了预训练,分辨率为224x224,并在 ADE20k (图像语义分割的重要基准数据集)上进行了分辨率为640x640的精 ... |
microsoft/beit-large-finetuned-ade-640-640. Image Segmentation • Updated Jan 25 • 338 • 14 · Intel/dpt-large-ade. Image Segmentation • Updated Mar 25 • 850 • 7 ... |
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