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Levigty / AimCLR

This is an official PyTorch implementation of "Contrastive Learning from Extremely Augmented Skeleton Sequences for Self-supervised Action Recognition" in AAAI2022.
MIT License
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How to calculate the comprehensive results of the three streams #11

Closed wys2929 closed 1 year ago

wys2929 commented 1 year ago

Hello, for the papers,“For all the reported results of three streams, we use the weights of [0.6, 0.6, 0.4] for weighted fusion like other multi-stream GCN methods.” But I still don’t understand, can you teach me how to calculate the comprehensive results of the three streams? For example, how did the 83.8 in the last line of the fourth column in Table II calculated? image

Levigty commented 1 year ago

Just simply ensemble the results. See 'ensemble_ntu_cs.py'. Recently we are exploring more efficient aggregation methods.

wys2929 commented 1 year ago

Thank you for your prompt reply！

------------------ 原始邮件 ------------------ 发件人: "Levigty/AimCLR" @.>; 发送时间: 2022年11月24日(星期四) 晚上8:38 @.>; @.**@.>; 主题: Re: [Levigty/AimCLR] How to calculate the comprehensive results of the three streams (Issue #11)

Just simply ensemble the results. See 'ensemble_ntu_cs.py'. Recently we are exploring more efficient aggregation methods.

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