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Found 5 papers, 1 papers with code
Hyperbolic Deep Learning in Computer Vision: A Survey
In this paper, we provide a categorization and in-depth overview of current literature on hyperbolic learning for computer vision.
Hyperbolic Busemann Learning with Ideal Prototypes
To be able to compute proximities to ideal prototypes, we introduce the penalised Busemann loss.
Convolutional Relational Machine for Group Activity Recognition
We present an end-to-end deep Convolutional Neural Network called Convolutional Relational Machine (CRM) for recognizing group activities that utilizes the information in spatial relations between individual persons in image or video.
A Multi-Stream Convolutional Neural Network Framework for Group Activity Recognition
In this work, we present a framework based on multi-stream convolutional neural networks (CNNs) for group activity recognition.
Zoom-RNN: A Novel Method for Person Recognition Using Recurrent Neural Networks
The overwhelming popularity of social media has resulted in bulk amounts of personal photos being uploaded to the internet every day.
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