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T-RECS: Training for Rate-Invariant Embeddings by Controlling Speed for Action Recognition
We explore the erratic behavior caused by this phenomena on state-of-the-art deep network-based methods for action recognition in terms of maximum performance and stability in recognition accuracy across a range of input video speeds.
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