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Found 5 papers, 2 papers with code
Class Semantics-based Attention for Action Detection
Our attention mechanism outperforms prior self-attention modules such as the squeeze-and-excitation in action detection task.
Fine-Pruning: Joint Fine-Tuning and Compression of a Convolutional Network with Bayesian Optimization
When approaching a novel visual recognition problem in a specialized image domain, a common strategy is to start with a pre-trained deep neural network and fine-tune it to the specialized domain.
Hierarchical Deep Temporal Models for Group Activity Recognition
In order to model both person-level and group-level dynamics, we present a 2-stage deep temporal model for the group activity recognition problem.
A Hierarchical Deep Temporal Model for Group Activity Recognition
In group activity recognition, the temporal dynamics of the whole activity can be inferred based on the dynamics of the individual people representing the activity.
Deep Structured Models For Group Activity Recognition
This paper presents a deep neural-network-based hierarchical graphical model for individual and group activity recognition in surveillance scenes.
