metafile.yml 1.3 KB

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  1. Collections:
  2. - Name: iTPN
  3. Metadata:
  4. Architecture:
  5. - Dense Connections
  6. - GELU
  7. - Layer Normalization
  8. - Multi-Head Attention
  9. - Scaled Dot-Product Attention
  10. Paper:
  11. Title: 'Integrally Pre-Trained Transformer Pyramid Networks'
  12. URL: https://arxiv.org/abs/2211.12735
  13. README: configs/itpn/README.md
  14. Code:
  15. URL: null
  16. Version: null
  17. Models:
  18. - Name: itpn-clip-b_hivit-base-p16_8xb256-amp-coslr-800e_in1k
  19. Metadata:
  20. FLOPs: 18474000000
  21. Parameters: 233000000
  22. Training Data:
  23. - ImageNet-1k
  24. In Collection: iTPN
  25. Results: null
  26. Weights:
  27. Config: configs/itpn/itpn-clip-b_hivit-base-p16_8xb256-amp-coslr-800e_in1k.py
  28. - Name: itpn-pixel_hivit-base-p16_8xb512-amp-coslr-800e_in1k
  29. Metadata:
  30. FLOPs: 18474000000
  31. Parameters: 103000000
  32. Training Data:
  33. - ImageNet-1k
  34. In Collection: iTPN
  35. Results: null
  36. Weights:
  37. Config: configs/itpn/itpn-pixel_hivit-base-p16_8xb512-amp-coslr-800e_in1k.py
  38. - Name: itpn-pixel_hivit-large-p16_8xb512-amp-coslr-800e_in1k
  39. Metadata:
  40. FLOPs: 63977000000
  41. Parameters: 314000000
  42. Training Data:
  43. - ImageNet-1k
  44. In Collection: iTPN
  45. Results: null
  46. Weights:
  47. Config: configs/itpn/itpn-pixel_hivit-large-p16_8xb512-amp-coslr-800e_in1k.py