Long-Term Action Anticipation Based on Contextual Alignment
Author:
Affiliation:
1. Technical University of Munich,School of Computation, Information and Technology,Department of Computer Engineering, Chair of Media Technology, Munich Institute of Robotics and Machine Intelligence (MIRMI)
Funder
Bayer
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10445798/10445803/10445978.pdf?arnumber=10445978
Reference26 articles.
1. MS-TCN: Multi-Stage Temporal Convolutional Network for Action Segmentation
2. Self-Attention Based Action Segmentation Using Intra-And Inter-Segment Representations
3. Modeling Action Spatiotemporal Relationships Using Graph-Based Class-Level Attention Network for Long-Term Action Detection
4. Human-Aware Coarse-to-Fine Online Action Detection
5. Rolling-Unrolling LSTMs for Action Anticipation from First-Person Video
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