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Found 10 papers, 3 papers with code
The Psychophysics of Human Three-Dimensional Active Visuospatial Problem-Solving
How well the visual system performs while interacting with the visual environment and how vision is used in the real world have not been well studied, especially in humans.
Next-Best-View Estimation based on Deep Reinforcement Learning for Active Object Classification
This leads to a viewpoint that provides a more accurate prediction to distinguish such an object from other objects better.
Active Observer Visual Problem-Solving Methods are Dynamically Hypothesized, Deployed and Tested
The importance of active observation is striking as is the lack of any learning effect.
Blocks World Revisited: The Effect of Self-Occlusion on Classification by Convolutional Neural Networks
We present baseline evaluations with five well-known classification deep neural networks and show that TEOS poses a significant challenge for all of them.
On the Control of Attentional Processes in Vision
The key conclusions of this paper are that an executive controller is necessary for human attentional function in vision, and that there is a 'first principles' computational approach to its understanding that is complementary to the previous approaches that focus on modelling or learning from experimental observations directly.
PESAO: Psychophysical Experimental Setup for Active Observers
Nonetheless, how exactly active observation occurs in humans so that it can inform the design of active computer vision systems is an open problem.
Visual Attention and its Intimate Links to Spatial Cognition
It is almost universal to regard attention as the facility that permits an agent, human or machine, to give priority processing resources to relevant stimuli while ignoring the irrelevant.
Random Polyhedral Scenes: An Image Generator for Active Vision System Experiments
We present a Polyhedral Scene Generator system which creates a random scene based on a few user parameters, renders the scene from random view points and creates a dataset containing the renderings and corresponding annotation files.
Totally Looks Like - How Humans Compare, Compared to Machines
Perceptual judgment of image similarity by humans relies on rich internal representations ranging from low-level features to high-level concepts, scene properties and even cultural associations.
Vision-Based Fallen Person Detection for the Elderly
Furthermore, our system consists of a reasoning module which formulates a number of measures to reason whether a person is fallen.
