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Performance of models (ECCV2022 paper)

Models

  • The following models are trained with Telsa V100 GPU.
  • The pretrained models are in GoogleDriver.

Mask AP Results on Pascal VOC val

Backbone schd Models GPUs AP AP_25 AP_50 AP_70 AP_75
ResNet-50 3x model 4 36.5 76.8 64.2 44.8 36.4
ResNet-101 3x model 4 38.3 77.9 66.3 46.4 38.7

Mask AP Results on COCO 2017

Backbone schd Models GPUs AP(val) AP(test-dev)
ResNet-50 3x model 8 31.4 31.7
ResNet-101 3x model 8 33.0 33.4
ResNet-101-DCN 3x model 8 35.0 35.4

Note:

  • Following BBTP and DiscoBox, the Pascal VOC is aumented Pascal VOC(data link) with SBD. We recomment the users to train the Pascal VOC first to validate the performance with ~14 hours training time.
  • Training COCO with 3x needs about 4 days.