Micro-Action Recognition
4 papers with code • 1 benchmarks • 1 datasets
Micro-action is an imperceptible non-verbal behaviour characterised by low-intensity movement. It offers insights into the feelings and intentions of individuals and is important for human-oriented applications such as emotion recognition and psychological assessment. However, the identification, differentiation, and understanding of micro-actions pose challenges due to the imperceptible and inaccessible nature of these subtle human behaviors in everyday life.
Libraries
Use these libraries to find Micro-Action Recognition models and implementations
MA-52
Most implemented papers
TSM: Temporal Shift Module for Efficient Video Understanding
MIT-HAN-LAB/temporal-shift-module
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ICCV 2019
The explosive growth in video streaming gives rise to challenges on performing video understanding at high accuracy and low computation cost.
Temporal Segment Networks for Action Recognition in Videos
yjxiong/temporal-segment-networks
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Furthermore, based on the temporal segment networks, we won the video classification track at the ActivityNet challenge 2016 among 24 teams, which demonstrates the effectiveness of TSN and the proposed good practices.
Detailed 2D-3D Joint Representation for Human-Object Interaction
DirtyHarryLYL/DJ-RN
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CVPR 2020
In light of these, we propose a detailed 2D-3D joint representation learning method.
Benchmarking Micro-action Recognition: Dataset, Methods, and Applications
It offers insights into the feelings and intentions of individuals and is important for human-oriented applications such as emotion recognition and psychological assessment.
