Boosting-R-CNN
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[Neurocomputing 2023] An official implementation of Boosting R-CNN: Reweighting R-CNN Samples by RPN's Error for Underwater Object Detection
please!
How to solve the metric Recall is not supported problem?
I have the following issue when loading checkpoint  my environment:  this is my commend: python tools/test.py configs/boosting_rcnn/boosting_rcnn_r50_pafpn_1x_utdac.py ./ckpts/boosting_rcnn_r50_pafpn_1x_utdac.pth And I download the checkpoint is: 
Could you upload this file? Thanks.
question
Does it look like there's no code module you changed? Like atss_rpn_head. Py
我的cuda版本是11.7,mmcv1.4版本太低,会冲突,但是安装高版本2.0.0的mmcv会报如下的错误,高版本集成方法的位置发生了变化,请问该怎么解决 
论文数据集疑问
您好,我看论文里面用到好几个数据集,有一张表说是泛化实验结果,但是不同数据集检测的目标类别都有所不同,例如UTDAC2020的数据集里面的标签和COCO的就不一样,跑COCO的时候是重新用COCO训练过吗?泛化不是直接用原本训练的模型在新数据集上推理预测,然后得到评估结果吗?