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Efficient Video Understanding
Video understanding requires substantially more computing resources compared to their
image counterparts due to the additional temporal dimension. As a result, the development …
image counterparts due to the additional temporal dimension. As a result, the development …
[كتاب][B] Deep Learning for Video Understanding
Z Wu, YG Jiang - 2024 - Springer
Video understanding is a critical technique which aims to recognize the objects and
activities in videos and further analyze their evolution over time. In an era dominated by …
activities in videos and further analyze their evolution over time. In an era dominated by …
Efficient VideoMAE via Temporal Progressive Training
Masked autoencoders (MAE) have recently been adapted for video recognition, setting new
performance benchmarks. Nonetheless, the computational overhead of training VideoMAE …
performance benchmarks. Nonetheless, the computational overhead of training VideoMAE …