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29 авг. 2023 г. · A universal architecture based on MaskFormer meta-architecture that achieves SOTA on panoptic, instance and semantic segmentation across four popular datasets. |
We propose MaskFormer, a simple mask classification model which predicts a set of binary masks, each associated with a single global class label prediction. |
Mask2Former: Masked-attention Mask Transformer for Universal Image Segmentation (CVPR 2022). Bowen Cheng, Ishan Misra, Alexander G. Schwing, Alexander Kirillov, ... |
We propose MaskFormer, a simple mask classification model which predicts a set of binary masks, each associated with a single global class label prediction. MaskFormer specific outputs · MaskFormerConfig |
13 июл. 2021 г. · We propose MaskFormer, a simple mask classification model which predicts a set of binary masks, each associated with a single global class label prediction. |
22 июн. 2023 г. · In summary, MaskFormer presents a new approach to image segmentation, integrating the strengths of the DETR model and the Transformer ... |
Mask2Former is a unified framework for panoptic, instance and semantic segmentation and features significant performance and efficiency improvements over ... |
We present a mask-piloted Transformer which improves masked-attention in Mask2Former for image segmentation. The improvement is based on our observation ... |
28 авг. 2023 г. · Mask2Former is a universal architecture that can be used for a variety of tasks, including semantic segmentation, panoptic segmentation, and instance ... |
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