Jian

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your result is not good Area Under the AR vs AN curve should be about 68%.

Because of randomness, you can ignore the difference after the decimal point in the result.

Hi, semchan we use some tricks like the multi-scale ensemble.

![image](https://user-images.githubusercontent.com/13388942/78208488-178b0980-74d7-11ea-9e29-dae1af7fb59e.png)

@ideaRunner After you use TSN to extract video features, the features length is different. You must reshape these features by fitting and interpolation functions. ![image](https://user-images.githubusercontent.com/13388942/68933497-bbe20d00-07cf-11ea-90ff-7c04c07bce8f.png)

Hi @pengxiaoxiao With these inference codes,you can repeat the results in our paper.

@pengxiaoxiao check your tensorflow version

Hi @gtgtgt1117 对于100长特征而言,proposals的数量是固定的,有100*100/2,PFG layer其实是生成这些个proposals的特征,这些个proposals肯定是有重叠的,靠后面的两个分支进行打分和后处理去重。

@gtgtgt1117 是的,一般还需要卡一个分数阈值来保留。