Open LittleRain626 opened 1 year ago
@beauty-girl-cxy 您好, 有具体的log能提供吗 results.csv 您好,感谢您的回复,这个文档是仅修改with_da_loss为True后在coco的一个子数据集labeled-1%上的结果,很抱歉修改之前的我找不到了,根据之前我统计的结果,with_da_loss为False时map50为0.017。
results_.csv results_.csv是with_da_loss为False在coco子数据集labeled-2%上的结果。
@beauty-girl-cxy 您好,我看了log,好像mAP50是0.042,所以打开了da_loss之后,精度会下降多少呢
@beauty-girl-cxy 您好,我看了log,好像mAP50是0.042,所以打开了da_loss之后,精度会下降多少呢
result.csv是打卡da_loss后的结果,精度几乎变为了0
@BowieHsu how you interpret the results at the end to know how well framework has labelled unlabelled data ?
@BowieHsu how you interpret the results at the end to know how well framework has labelled unlabelled data ?
i see your question under many issue in my opinion, since the data is unlabeled, you cant evaluate model on it. bt u can use the unlabeled data to train, and evaluate model on other labeled data
@beauty-girl-cxy 您好, 有具体的log能提供吗