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ZhangGongjie committed Mar 17, 2022
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Being like a plug-and-play, our approach can be
easily integrated with existing convergence solutions (e.g., SMCA) in a complementary manner,
easily integrated with existing convergence solutions (*e.g.*, SMCA) in a complementary manner,
boosting detection accuracy and convergence speed further.

Please check [our CVPR 2022 paper](https://arxiv.org/abs/2203.06883) for more details.
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Note:
1. AP is computed on *COCO val2017*.
2. "DC5" means removing the stride in C5 stage of ResNet and add a dilation of 2 instead.
3. The GFLOPs of our models are measured using [fvcore](https://github.com/facebookresearch/fvcore) on the first 100 images in *COCO val2017*. GFLOPs varies from input image sizes. There may exist slight variations from actual values.
3. The GFLOPs of our models are estimated using [fvcore](https://github.com/facebookresearch/fvcore) on the first 100 images in *COCO val2017*. GFLOPs varies as input image sizes change. There may exist slight difference from actual values.



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