AIMC Topic: Visual Perception

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Bioinspired Scene Classification by Deep Active Learning With Remote Sensing Applications.

IEEE transactions on cybernetics
Accurately classifying sceneries with different spatial configurations is an indispensable technique in computer vision and intelligent systems, for example, scene parsing, robot motion planning, and autonomous driving. Remarkable performance has bee...

Sensor-level computer vision with pixel processor arrays for agile robots.

Science robotics
Vision processing for control of agile autonomous robots requires low-latency computation, within a limited power and space budget. This is challenging for conventional computing hardware. Parallel processor arrays (PPAs) are a new class of vision se...

Convolutional Neural Networks With Gated Recurrent Connections.

IEEE transactions on pattern analysis and machine intelligence
The convolutional neural network (CNN) has become a basic model for solving many computer vision problems. In recent years, a new class of CNNs, recurrent convolution neural network (RCNN), inspired by abundant recurrent connections in the visual sys...

Efficient 3D AlexNet Architecture for Object Recognition Using Syntactic Patterns from Medical Images.

Computational intelligence and neuroscience
In computer vision and medical image processing, object recognition is the primary concern today. Humans require only a few milliseconds for object recognition and visual stimulation. This led to the development of a computer-specific pattern recogni...

Feature blindness: A challenge for understanding and modelling visual object recognition.

PLoS computational biology
Humans rely heavily on the shape of objects to recognise them. Recently, it has been argued that Convolutional Neural Networks (CNNs) can also show a shape-bias, provided their learning environment contains this bias. This has led to the proposal tha...

Cascaded Parsing of Human-Object Interaction Recognition.

IEEE transactions on pattern analysis and machine intelligence
This paper addresses the task of detecting and recognizing human-object interactions (HOI) in images. Considering the intrinsic complexity and structural nature of the task, we introduce a cascaded parsing network (CP-HOI) for a multi-stage, structur...

A Photoelectric Spiking Neuron for Visual Depth Perception.

Advanced materials (Deerfield Beach, Fla.)
The biological visual system encodes optical information into spikes and processes them by the neural network, which enables the perception with high throughput of visual processing with ultralow energy budget. This has inspired a wide spectrum of de...

Contextual associations represented both in neural networks and human behavior.

Scientific reports
Contextual associations facilitate object recognition in human vision. However, the role of context in artificial vision remains elusive as does the characteristics that humans use to define context. We investigated whether contextually related objec...

Motor-related signals support localization invariance for stable visual perception.

PLoS computational biology
Our ability to perceive a stable visual world in the presence of continuous movements of the body, head, and eyes has puzzled researchers in the neuroscience field for a long time. We reformulated this problem in the context of hierarchical convoluti...

Lifelong 3D object recognition and grasp synthesis using dual memory recurrent self-organization networks.

Neural networks : the official journal of the International Neural Network Society
Humans learn to recognize and manipulate new objects in lifelong settings without forgetting the previously gained knowledge under non-stationary and sequential conditions. In autonomous systems, the agents also need to mitigate similar behaviour to ...