Asynchronous Temporal Fields for Action Recognition

CVPR 2017 Gunnar A. SigurdssonSantosh DivvalaAli FarhadiAbhinav Gupta

Actions are more than just movements and trajectories: we cook to eat and we hold a cup to drink from it. A thorough understanding of videos requires going beyond appearance modeling and necessitates reasoning about the sequence of activities, as well as the higher-level constructs such as intentions... (read more)

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Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK USES EXTRA
TRAINING DATA
RESULT BENCHMARK
Action Classification Charades Asyn-TF MAP 22.4 # 11
Action Detection Charades Sigurdsson et al. mAP 9.6 # 6

Methods used in the Paper


METHOD TYPE
🤖 No Methods Found Help the community by adding them if they're not listed; e.g. Deep Residual Learning for Image Recognition uses ResNet