A Closer Look at Spatiotemporal Convolutions for Action Recognition

In this paper we discuss several forms of spatiotemporal convolutions for video analysis and study their effects on action recognition. Our motivation stems from the observation that 2D CNNs applied to individual frames of the video have remained solid performers in action recognition... (read more)

PDF Abstract CVPR 2018 PDF CVPR 2018 Abstract

Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK BENCHMARK
Action Recognition Sports-1M R(2+1)D-RGB-32frame Clip [email protected] 57 # 1
Video [email protected] 73 # 4
Video [email protected] 91.5 # 4
Action Recognition Sports-1M R(2+1)D-Two-Stream-32frame Video [email protected] 73.3 # 3
Video [email protected] 91.9 # 3

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