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Sponsored by
APIMart
openmmlab / upernet-convnext-tiny
Model's Last Updated: April 24 2023
image-segmentation
Introduction of upernet-convnext-tiny
Model Details of upernet-convnext-tiny
UperNet, ConvNeXt tiny-sized backbone
UperNet framework for semantic segmentation, leveraging a ConvNeXt backbone. UperNet was introduced in the paper Unified Perceptual Parsing for Scene Understanding by Xiao et al.
Combining UperNet with a ConvNeXt backbone was introduced in the paper A ConvNet for the 2020s .
Disclaimer: The team releasing UperNet + ConvNeXt did not write a model card for this model so this model card has been written by the Hugging Face team.
Model description
UperNet is a framework for semantic segmentation. It consists of several components, including a backbone, a Feature Pyramid Network (FPN) and a Pyramid Pooling Module (PPM).
Any visual backbone can be plugged into the UperNet framework. The framework predicts a semantic label per pixel.
Intended uses & limitations
You can use the raw model for semantic segmentation. See the model hub to look for fine-tuned versions (with various backbones) on a task that interests you.
How to use
For code examples, we refer to the documentation .
Runs of openmmlab upernet-convnext-tiny on huggingface.co
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More Information About upernet-convnext-tiny huggingface.co Model
Url of upernet-convnext-tiny
upernet-convnext-tiny huggingface.co Url
Provider of upernet-convnext-tiny huggingface.co
Other API from openmmlab
Updated:January 19 2023
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