End-to-End

End-to-End Object Detection with Learnable Proposal, CVPR2021

Sparse R-CNN: End-to-End Object Detection with Learnable Proposals

License: MIT

Paper (CVPR 2021)

Sparse R-CNN: End-to-End Object Detection with Learnable Proposals

Updates

  • (02/03/2021) Higher performance is reported by using stronger backbone model PVT.
  • (23/02/2021) Higher performance is reported by using stronger pretrain model DetCo.
  • (02/12/2020) Models and logs(R101_100pro_3x and R101_300pro_3x) are available.
  • (26/11/2020) Models and logs(R50_100pro_3x and R50_300pro_3x) are available.
  • (26/11/2020) Higher performance for Sparse R-CNN is reported by setting the dropout rate as 0.0.

Models

Models and logs are available in Baidu Drive by code wt9n.

Notes