HomeModelsImage Segmentationopenmmlab/upernet-convnext-tiny
U

openmmlab/upernet-convnext-tiny

Image Segmentation·openmmlab· 6.3K· 3
transformers mit Image Segmentation 60.3M params arxiv:1807.10221arxiv:2201.03545license:mitregion:us

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.

Open in MLForge Sign up free Desktop app Source ↗
# pull & run locally
pip install mlforge-sdk && mlforge pull openmmlab/upernet-convnext-tiny

Model details

Task
Image Segmentation
Provider
openmmlab
Framework
transformers
Parameters
60.3M
Size
460 MB
License
mit
Downloads
6.3K
Likes
3
Paper
arXiv:1807.10221
Updated
2023-04-24

About openmmlab/upernet-convnext-tiny

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.

Related Image Segmentation

C CIDAS/clipseg-rd64-refined Image Segmentation ·150.7M params 1.3M 140 🤗 HF B ZhengPeng7/BiRefNet Image Segmentation ·220.7M params 713.5K 602 🤗 HF M facebook/mask2former-swin-large-ade-semantic Image Segmentation ·216.0M params 645.3K 21 🤗 HF S nvidia/segformer-b0-finetuned-ade-512-512 Image Segmentation ·3.8M params 321.1K 190 🤗 HF R briaai/RMBG-1.4 Image Segmentation ·44.1M params 309.5K 2.0K 🤗 HF S nvidia/segformer-b2-finetuned-ade-512-512 Image Segmentation 213.6K 7 🤗 HF

Browse all Image Segmentation models →