Disentangling Shape and Pose for Object-Centric Deep Active Inference Models

Stefano Ferraro; Toon Van de Maele; Pietro Mazzaglia; Tim Verbelen; Bart Dhoedt

doi:10.1007/978-3-031-28719-0_3

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Disentangling Shape and Pose for Object-Centric Deep Active Inference Models

Stefano Ferraro Toon Van de Maele Pietro Mazzaglia Tim Verbelen Bart Dhoedt

Year: 2023 Communications in computer and information science Pages: 32-49 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-031-28719-0_3

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Keywords:

Inference Computer science Representation (politics) Object (grammar) Artificial intelligence Generative model State space Generative grammar Space (punctuation) State (computer science) Hidden variable theory Machine learning Focus (optics) Algorithm Mathematics

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Generative Adversarial Networks and Image Synthesis

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Cell Image Analysis Techniques

Life Sciences → Biochemistry, Genetics and Molecular Biology → Biophysics

Aesthetic Perception and Analysis

Life Sciences → Neuroscience → Cognitive Neuroscience

Disentangling Shape and Pose for Object-Centric Deep Active Inference Models

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