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Why model networkbased on resnet50?what if resnet101? #18

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swg209 opened this issue Mar 11, 2019 · 2 comments
Open

Why model networkbased on resnet50?what if resnet101? #18

swg209 opened this issue Mar 11, 2019 · 2 comments

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@swg209
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swg209 commented Mar 11, 2019

I got confused why all the networks are based on resnet50, what if based on resnet101?

@zhangzhengjie626
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When using temporal attention,map is just 70.4%. what about you?

@swg209
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swg209 commented Mar 14, 2019

@MaverickIce I got 70.2% mAP , but I found that temporal pooling model running on single GPU with the defuault hyper parameters could achieve a result which mAP is 73.2% , rank-1 is 81.7% when running 350 epoch。

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