Open happyCodingSusan opened 4 years ago
谢谢作者的棒棒的成果,更谢谢作者分享您的代码.佩服佩服!
阅读了您的2018夺冠文章后,有两个问题请教,不知可否赐教? 您文章中说: BSN has a higher mAP than our C-TCN with the threshold of 0.95, however, it uses additional video classification results of [65] which are fused by multiple models, while our model only uses a two-stream model.
如果您能回覆, 就太感谢了!
1、试过,不会,替换分类结果的话如果分类结果错误会全部错,CTCN自己生成的分类类别增加了部分召回。 2、这个是我们自己这边训了一些模型ensemble的,暂时不考虑release
谢谢作者的棒棒的成果,更谢谢作者分享您的代码.佩服佩服!
阅读了您的2018夺冠文章后,有两个问题请教,不知可否赐教? 您文章中说: BSN has a higher mAP than our C-TCN with the threshold of 0.95, however, it uses additional video classification results of [65] which are fused by multiple models, while our model only uses a two-stream model.
如果您能回覆, 就太感谢了!