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microsoft/Swin-Transformer - GitHub
https://github.com/microsoft/Swin-Transformer
WebThis repo is the official implementation of "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" as well as the follow-ups. It currently includes code and models for the following tasks: Image Classification: Included in this repo. See get_started.md for a quick start.
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[2103.14030] Swin Transformer: Hierarchical Vision Transformer …
https://arxiv.org/abs/2103.14030
WebMar 25, 2021 · This paper presents a new vision Transformer, called Swin Transformer, that capably serves as a general-purpose backbone for computer vision. Challenges in adapting Transformer from language to vision arise from differences between the two domains, such as large variations in the scale of visual entities and the high resolution of …
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Swin Transformer: Hierarchical Vision Transformer using Shifted …
https://paperswithcode.com/paper/swin-transformer-hierarchical-vision
WebThis paper presents a new vision Transformer, called Swin Transformer, that capably serves as a general-purpose backbone for computer vision. Challenges in adapting Transformer from language to vision arise from differences between the two domains, such as large variations in the scale of visual entities and the high resolution of pixels in ...
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Swin Transformer: Hierarchical Vision Transformer using Shifted …
https://ieeexplore.ieee.org/document/9710580/
WebThis paper presents a new vision Transformer, called Swin Transformer, that capably serves as a general-purpose backbone for computer vision. Challenges in adap Swin Transformer: Hierarchical Vision Transformer using Shifted Windows | IEEE Conference Publication | IEEE Xplore
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Swin Transformer - Hugging Face
https://huggingface.co/docs/transformers/model_doc/swin
WebSwin Transformer. Join the Hugging Face community. and get access to the augmented documentation experience. Collaborate on models, datasets and Spaces. Faster examples with accelerated inference. Switch between documentation themes. to get started. Swin Transformer. Overview.
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Swin Transformer Explained | Papers With Code
https://paperswithcode.com/method/swin-transformer
WebThe Swin Transformer is a type of Vision Transformer. It builds hierarchical feature maps by merging image patches (shown in gray) in deeper layers and has linear computation complexity to input image size due to computation of self-attention only within each local window (shown in red).
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[2103.14030] Swin Transformer: Hierarchical Vision Transformer …
http://export.arxiv.org/abs/2103.14030
WebMar 25, 2021 · Swin Transformer: Hierarchical Vision Transformer using Shifted Windows. (Submitted on 25 Mar 2021 ( v1 ), last revised 17 Aug 2021 (this version, v2)) This paper presents a new vision Transformer, called Swin Transformer, that capably serves as a general-purpose backbone for computer vision.
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Swin Transformer: Hierarchical Vision Transformer using Shifted …
https://ar5iv.labs.arxiv.org/html/2103.14030
WebThis paper presents Swin Transformer, a new vision Transformer which produces a hierarchical feature representation and has linear computational complexity with respect to input image size. Swin Transformer achieves the state-of-the-art performance on COCO object detection and ADE20K semantic segmentation, significantly surpassing previous …
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Swin-Transformer/get_started.md at main - GitHub
https://github.com/microsoft/Swin-Transformer/blob/main/get_started.md
WebSwin Transformer for Image Classification. This folder contains the implementation of the Swin Transformer for image classification. Model Zoo. Please refer to MODEL HUB for more pre-trained models. Usage. Install. We recommend using the pytorch docker nvcr>=21.05 by nvidia: https://catalog.ngc.nvidia.com/orgs/nvidia/containers/pytorch.
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Swin Transformer supports 3-billion-parameter vision models that …
https://www.microsoft.com/en-us/research/blog/swin-transformer-supports-3-billion-parameter-vision-models-that-can-train-with-higher-resolution-images-for-greater-task-applicability/
WebJun 21, 2022 · Swin Transformer, a Transformer-based general-purpose vision architecture, was further evolved to address challenges specific to large vision models. As a result, Swin Transformer is capable of training with images at higher resolutions, which allows for greater task applicability (left), and scaling models up to 3 billion parameters …
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