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SegFormer (code, models, paper)

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  1. .gitattributes +3 -0
  2. Panoptic SegFormer. Delving Deeper into Panoptic Segmentation with Transformers.pdf +3 -0
  3. SegFormer. Simple and Efficient Design for Semantic Segmentation with Transformers.pdf +3 -0
  4. SegFormer3D. An Efficient Transformer for 3D Medical Image Segmentation.pdf +3 -0
  5. code/Comfyui_segformer_b2_clothes.zip +3 -0
  6. code/Panoptic-SegFormer.zip +3 -0
  7. code/SegFormer (FrancescoSaverioZuppichini).zip +3 -0
  8. code/SegFormer-tf.zip +3 -0
  9. code/SegFormer.zip +3 -0
  10. code/SegFormer3D.zip +3 -0
  11. code/SegFormer_Segmentation.zip +3 -0
  12. code/segformer (anibali).zip +3 -0
  13. code/segformer-pytorch (bubbliiiing).zip +3 -0
  14. code/segformer-pytorch (rulixiang).zip +3 -0
  15. code/segformer-tf-transformers.zip +3 -0
  16. code/segformer_b2_clothes.zip +3 -0
  17. code/segmentation_pytorch.zip +3 -0
  18. models/Panoptic-SegFormer/panoptic_segformer_pvtv2b5_2x.pth +3 -0
  19. models/Panoptic-SegFormer/panoptic_segformer_r101_2x.pth +3 -0
  20. models/Panoptic-SegFormer/panoptic_segformer_r50_1x.pth +3 -0
  21. models/Panoptic-SegFormer/panoptic_segformer_r50_2x.pth +3 -0
  22. models/Panoptic-SegFormer/panoptic_segformer_swinl_2x.pth +3 -0
  23. models/Panoptic-SegFormer/source.txt +1 -0
  24. models/SegFormer3D/best_segformer3d_brats_performance.pth +3 -0
  25. models/SegFormer3D/nnformer_visualization.zip +3 -0
  26. models/SegFormer3D/segformer3d_visualization.zip +3 -0
  27. models/SegFormer3D/source.txt +4 -0
  28. models/segformer (Kalray)/.gitattributes +35 -0
  29. models/segformer (Kalray)/README.md +3 -0
  30. models/segformer (Kalray)/segformer-b0-ade-512-512.onnx +3 -0
  31. models/segformer (Kalray)/segformer-b2-ade-512-512.onnx +3 -0
  32. models/segformer (Kalray)/source.txt +1 -0
  33. models/segformer (anibali)/pretrained/segformer-0.0.0.zip +3 -0
  34. models/segformer (anibali)/pretrained/segformer_b0_1024x1024_city_160k-3e581249.pth +3 -0
  35. models/segformer (anibali)/pretrained/segformer_b0_512x512_ade_160k-d0c08cfd.pth +3 -0
  36. models/segformer (anibali)/pretrained/segformer_b0_backbone_imagenet-eb42d485.pth +3 -0
  37. models/segformer (anibali)/pretrained/segformer_b1_1024x1024_city_160k-e415b121.pth +3 -0
  38. models/segformer (anibali)/pretrained/segformer_b1_512x512_ade_160k-1cd52578.pth +3 -0
  39. models/segformer (anibali)/pretrained/segformer_b1_backbone_imagenet-357971ac.pth +3 -0
  40. models/segformer (anibali)/pretrained/segformer_b2_1024x1024_city_160k-9793f658.pth +3 -0
  41. models/segformer (anibali)/pretrained/segformer_b2_512x512_ade_160k-fa162a4f.pth +3 -0
  42. models/segformer (anibali)/pretrained/segformer_b2_backbone_imagenet-3c162bb8.pth +3 -0
  43. models/segformer (anibali)/pretrained/segformer_b3_1024x1024_city_160k-732b9fde.pth +3 -0
  44. models/segformer (anibali)/pretrained/segformer_b3_512x512_ade_160k-5abb3eb3.pth +3 -0
  45. models/segformer (anibali)/pretrained/segformer_b3_backbone_imagenet-0d113e32.pth +3 -0
  46. models/segformer (anibali)/pretrained/segformer_b4_1024x1024_city_160k-1836d907.pth +3 -0
  47. models/segformer (anibali)/pretrained/segformer_b4_512x512_ade_160k-bb0fa50c.pth +3 -0
  48. models/segformer (anibali)/pretrained/segformer_b4_backbone_imagenet-b757a54d.pth +3 -0
  49. models/segformer (anibali)/pretrained/segformer_b5_1024x1024_city_160k-2ca4dff8.pth +3 -0
  50. models/segformer (anibali)/pretrained/segformer_b5_640x640_ade_160k-106a5e57.pth +3 -0
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