Using a Vertical-Stream Variational Auto-Encoder to Generate Segment-Based Images and Its Biological Plausibility for Modelling the Visual Pathways

Using a Vertical-Stream Variational Auto-Encoder to Generate Segment-Based Images and Its Biological Plausibility for Modelling the Visual Pathways

Human beings have a strong capability to identify objects in different viewpoints. Unlike computer vision that requires sufficient training samples in various scales and rotations, biological visual systems can efficiently recognize objects in diverse spatial states. To achieve this objective, image...

Full description

Bibliographic Details
Main Authors: Xue-Song Tang, Hui Wei, Kuangrong Hao
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Invariant recognition
representation argumentation
segment-based image representation
variational auto-encoder
visual cortex modeling
Online Access:https://ieeexplore.ieee.org/document/8558493/

Internet

https://ieeexplore.ieee.org/document/8558493/

Similar Items