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Performance Evaluation of Action Recognition Models on Low Quality Videos
In general, action recognition models are trained on high-quality videos, hence it is not known how the model performance degrades when tested on low-quality videos, and how much the quality of training videos affects the performance.
Vision Transformer with Cross-attention by Temporal Shift for Efficient Action Recognition
We also investigate other variants in which the proposed MSCA is used along the patch dimension of ViT, instead of the head dimension.
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