Long-Term Feature Banks for Detailed Video Understanding

CVPR 2019 Chao-Yuan WuChristoph FeichtenhoferHaoqi FanKaiming HePhilipp KrähenbühlRoss Girshick

To understand the world, we humans constantly need to relate the present to the past, and put events in context. In this paper, we enable existing video models to do the same... (read more)

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Evaluation results from the paper


#3 best model for Action Classification on Charades (using extra training data)

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Action Classification Charades LFB MAP 42.5 # 3
Action Recognition In Videos Charades LFB NL MAP 42.5 # 3