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TText generation▧Image generation▷Video generation⌘Code generation◖Speech synthesis♫Music generation⬡3D modeling▤Document analysis
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BiRefNet_lite-ONNX

onnx-community

Peng Zheng 1,4,5,6 ,  Dehong Gao 2 ,  Deng-Ping Fan 1* ,  Li Liu 3 ,  Jorma Laaksonen 4 ,  Wanli Ouyang 5 ,  Nicu Sebe 6 1 Nankai University  2 Northwestern Polytechnical University  3 National University of Defense Technology  4 Aalto University  5 Shanghai AI Laboratory  6 University of Trento  For more information, check out the official repository.

Image segmentation
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modnet-webnn

onnx-community

基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。

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Image segmentation
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PATH-ViTB

OpenGVLab

基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。

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Image segmentation
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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. 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. 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).

Image segmentation
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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. 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. 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).

Image segmentation
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UperNet framework for semantic segmentation, leveraging a Swin Transformer backbone. UperNet was introduced in the paper Unified Perceptual Parsing for Scene Understanding by Xiao et al. Combining UperNet with a Swin Transformer backbone was introduced in the paper Swin Transformer: Hierarchical Vision Transformer using Shifted Windows. Disclaimer: The team releasing UperNet + Swin Transformer did not write a model card for this model so this model card has been written by the Hugging Face team.

Image segmentation
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PP-DocLayoutV3

PaddlePaddle

**🔥 Official Website** | **📝 Technical Report** This is the PP-Doclayoutv3 model weights for the PaddlePaddle framework. Get safetensors weights at PP-DocLayoutV3_safetensors **PP-DocLayoutV3 is specifically engineered to handle non-planar document images. It can directly predict multi-point bounding boxes for layout elements—as opposed to standard two-point boxes—and determine logical reading orders for skewed and curved surfaces within a single forward pass, significantly reducing cascading errors.** This model is an essential component of PaddleOCR-VL-1.5, providing crucial layout analysis for the high-precision parsing of various real-world documents in PaddleOCR-VL.

Image segmentation
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Fine-tuned version of `briaai/RMBG-1.4` on `phungpx/cubicassa5k-coco` for **binary foreground/background segmentation** of `wall` in architectural floor plans. Columns: input floor-plan, ground-truth `wall` mask, and model prediction (per-image IoU shown above each prediction).

Image segmentation
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schp-atr-18

pirocheto

基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。

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Image segmentation
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