Compressed Video Action Recognition

CVPR 2018 Chao-Yuan WuManzil ZaheerHexiang HuR. ManmathaAlexander J. SmolaPhilipp Krähenbühl

Training robust deep video representations has proven to be much more challenging than learning deep image representations. This is in part due to the enormous size of raw video streams and the high temporal redundancy; the true and interesting signal is often drowned in too much irrelevant data... (read more)

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Results from the Paper


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

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TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK USES EXTRA
TRAINING DATA
RESULT LEADERBOARD
Action Classification Charades CoViAR MAP 21.9 # 12