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SotA/Methodology/16k/TBBR

16k on TBBR

Metric: Average Recall@IoU:0.5-0.95 (higher is better)

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#Model↕Average Recall@IoU:0.5-0.95▼AugmentationsPaperDate↕Code
1Swin-T (ImageNet-1k pretrain)45.4No--Code
2FSAF (ResNeXt-101, ImageNet-1k pretrain)38No--Code
3Mask R-CNN (ResNet-50-FPN, ImageNet-1k pretrain)37No--Code
4Mask R-CNN (ResNet-50-FPN)30.8No--Code
5TridentNet (ResNet-50, ImageNet-1k pretrain)30No--Code
6FSAF (ResNeXt-101)24.8No--Code
7TridentNet (ResNet-50)21.5No--Code