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Found 4 papers, 2 papers with code
Towards Optimal Filter Pruning with Balanced Performance and Pruning Speed
In this paper, we propose a balanced filter pruning method for both performance and pruning speed.
Feedback Graph Convolutional Network for Skeleton-based Action Recognition
It transmits the high-level semantic features to the low-level layers and flows temporal information stage by stage to progressively model global spatial-temporal features for action recognition; (3) The FGCN model provides early predictions.
Ranked #34 on
Skeleton Based Action Recognition
on NTU RGB+D 120
Saliency based Semi-supervised Learning for Orbiting Satellite Tracking
The trajectory and boundary of an orbiting satellite are fundamental information for on-orbit repairing and manipulation by space robots.
MVB: A Large-Scale Dataset for Baggage Re-Identification and Merged Siamese Networks
Second, all baggage images are captured by specially-designed multi-view camera system to handle pose variation and occlusion, in order to obtain the 3D information of baggage surface as complete as possible.
