【ICCV2019】EPIC-Fusion: Audio-Visual Temporal Binding for Egocentric Action Recognition
論文下載鏈接： EPIC-Fusion: Audio-Visual Temporal Binding for Egocentric Action Recognition 主要思想 使用 Audio-Vision-Flow 3種模態數據 作爲輸入的3種數據在時序上不同步，但時差在一定範圍內 在網絡中段進行數據融合，即mid-fusion 簡介 文章使用EPIC-KITCHEN數據集，包括3種模態數據
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相關文章
- 1. 【CVPR2020】Temporal Pyramid Network for Action Recognition
- 2. Temporal Pyramid Network for Action Recognition
- 3. 【視頻理解論文】——Grouped Spatial-Temporal Aggregation for Efficient Action Recognition（ICCV2019）
- 4. StNet: Local and Global Spatial-Temporal Modeling for Action Recognition
- 5. Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition
- 6. 【論文復現】Temporal Pyramid Network for Action Recognition
- 7. Spatiotemporal Residual Networks for Video Action Recognition
- 8. Spatiotemporal Multiplier Networks for Video Action Recognition
- 9. Representation Flow for Action Recognition
- 10. Spatio-Temporal Attention Based LSTM Networks for 3D Action Recognition and Detection