468
OneFormer
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Segment images into parts and maps
Visual Understanding
Accurate & efficient vision models, ops and systems
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56
Matting Anything
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shi-labs/oneformer_coco_swin_large
Image Segmentation • Updated • 162k • • 4 -
shi-labs/oneformer_ade20k_swin_large
Image Segmentation • Updated • 152k • • 24 -
shi-labs/oneformer_ade20k_swin_tiny
Image Segmentation • Updated • 8.55k • • 16 -
shi-labs/oneformer_cityscapes_swin_large
Image Segmentation • Updated • 11.2k • 2 -
shi-labs/oneformer_ade20k_dinat_large
Image Segmentation • Updated • 3.09k • 12 -
shi-labs/oneformer_coco_dinat_large
Image Segmentation • Updated • 100 • 7 -
shi-labs/oneformer_cityscapes_dinat_large
Image Segmentation • Updated • 78.3k -
shi-labs/dinat-mini-in1k-224
Image Classification • Updated • 482 • 1 -
Neighborhood Attention Transformer
Paper • 2204.07143 • Published -
Dilated Neighborhood Attention Transformer
Paper • 2209.15001 • Published -
Faster Neighborhood Attention: Reducing the O(n^2) Cost of Self Attention at the Threadblock Level
Paper • 2403.04690 • Published • 1 -
Matting Anything
Paper • 2306.05399 • Published • 6 -
OneFormer: One Transformer to Rule Universal Image Segmentation
Paper • 2211.06220 • Published