MTL-AQA
Introduced by Parmar et al. in What and How Well You Performed? A Multitask Learning Approach to Action Quality Assessment
A new multitask action quality assessment (AQA) dataset, the largest to date, comprising of more than 1600 diving samples; contains detailed annotations for fine-grained action recognition, commentary generation, and estimating the AQA score. Videos from multiple angles provided wherever available.
Source: What and How Well You Performed? A Multitask Learning Approach to Action Quality AssessmentBenchmarks
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MTL-AQA
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DAE-CoRe
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MTL-AQA
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C3D-AVG
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Papers
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