A modified MARS model with three auxiliary branches reaches 68.7% on Kinetics and 97.2% on UCF101, but no timing or ablation evidence supports the real-time claim.
A., Guadarrama, S., Rohrbach, M., Venugopalan, S., Saenko, K., and Darrell, T.: Long-term recurrent convolutional networks for visual recognition and de- scription
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Bypass Enhancement RGB Stream Model for Pedestrian Action Recognition of Autonomous Vehicles
A modified MARS model with three auxiliary branches reaches 68.7% on Kinetics and 97.2% on UCF101, but no timing or ablation evidence supports the real-time claim.