NTU RGB+D 120: A Large-Scale Benchmark for 3D Human Activity Understanding

12 May 2019Jun LiuAmir ShahroudyMauricio PerezGang WangLing-Yu DuanAlex C. Kot

Research on depth-based human activity analysis achieved outstanding performance and demonstrated the effectiveness of 3D representation for action recognition. The existing depth-based and RGB+D-based action recognition benchmarks have a number of limitations, including the lack of large-scale training samples, realistic number of distinct class categories, diversity in camera views, varied environmental conditions, and variety of human subjects... (read more)

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TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT LEADERBOARD
One-Shot 3D Action Recognition NTU RGB+D 120 APSR Accuracy 45.3% # 2