Adaptive pooling with dual-stage fusion for skeleton-based action recognition
These videos have been matched automatically. Contact us if they are not relevant.
These videos have been matched automatically. Contact us if they are not relevant.
View abstract on PubMed
Summary
This summary is machine-generated.This study introduces an Improved Graph Pooling Network (IGPN) for skeleton-based action recognition, addressing pooling limitations in skeletal data. IGPN enhances accuracy and efficiency by employing region-aware pooling and a dual-stage fusion strategy.
Area Of Science
- Computer Vision
- Machine Learning
- Artificial Intelligence
Background
- Skeleton-based action recognition faces challenges with existing pooling strategies due to unique skeletal structure.
- High data compactness and low redundancy in skeletal data increase the risk of accuracy degradation from information loss during pooling.
Purpose Of The Study
- To propose an Improved Graph Pooling Network (IGPN) to overcome limitations of pooling in skeleton-based action recognition.
- To enhance the effectiveness and efficiency of feature extraction from skeletal data.
Main Methods
- Introduced a region-awareness pooling strategy utilizing structural partitioning and adaptive information weighting.
- Implemented a dual-stage fusion strategy (cross fusion and information supplement modules) to prevent discriminative information loss.
- Developed IGPN-Light (efficiency-focused) and IGPN-Heavy (accuracy-focused) as plug-and-play modules for existing graph networks.
Main Results
- IGPN-Light achieved significant accuracy improvements while reducing FLOPs by 60-70% on the NTU-RGB+D 60 dataset.
- IGPN-Heavy further boosted performance by prioritizing accuracy.
- Demonstrated effectiveness across multiple challenging benchmarks.
Conclusions
- The proposed IGPN effectively addresses pooling challenges in skeleton-based action recognition.
- The region-awareness pooling and dual-stage fusion strategies enhance feature representation and preserve critical information.
- IGPN offers flexible solutions (IGPN-Light and IGPN-Heavy) adaptable to different performance requirements.
These videos have been matched automatically. Contact us if they are not relevant.
These videos have been matched automatically. Contact us if they are not relevant.
