Temporal Relational Reasoning in Videos

ECCV 2018 Bolei ZhouAlex AndonianAude OlivaAntonio Torralba

Temporal relational reasoning, the ability to link meaningful transformations of objects or entities over time, is a fundamental property of intelligent species. In this paper, we introduce an effective and interpretable network module, the Temporal Relation Network (TRN), designed to learn and reason about temporal dependencies between video frames at multiple time scales... (read more)

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TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK USES EXTRA
TRAINING DATA
RESULT BENCHMARK
Action Classification Charades MultiScale TRN MAP 25.2 # 10
Action Recognition Jester MultiScale TRN Val 95.31 # 3
Hand Gesture Recognition Jester test Multiscale TRN Top 1 Accuracy 94.78 # 2
Action Classification Moments in Time TRN-Multiscale Top 1 Accuracy 28.27% # 10
Top 5 Accuracy 53.87% # 8
Action Recognition Something-Something V1 2-Stream TRN Top 1 Accuracy 42.01 # 18
Action Recognition Something-Something V2 2-Stream TRN Top-1 Accuracy 55.52 # 10
Top-5 Accuracy 83.06 # 8

Methods used in the Paper