Zobrazeno 1 - 10
of 355
pro vyhledávání: '"Benosman, Ryad"'
The Hierarchy Of Time-Surfaces (HOTS) algorithm, a neuromorphic approach for feature extraction from event data, presents promising capabilities but faces challenges in accuracy and compatibility with neuromorphic hardware. In this paper, we introduc
Externí odkaz:
http://arxiv.org/abs/2404.12402
As the use of neuromorphic, event-based vision sensors expands, the need for compression of their output streams has increased. While their operational principle ensures event streams are spatially sparse, the high temporal resolution of the sensors
Externí odkaz:
http://arxiv.org/abs/2403.08086
Selective attention is an essential mechanism to filter sensory input and to select only its most important components, allowing the capacity-limited cognitive structures of the brain to process them in detail. The saliency map model, originally deve
Externí odkaz:
http://arxiv.org/abs/2401.05030
Publikováno v:
In Neural Networks October 2024 178
Memristors have emerged as a promising technology for efficient neuromorphic architectures owing to their ability to act as programmable synapses, combining processing and memory into a single device. Although they are most commonly used for static e
Externí odkaz:
http://arxiv.org/abs/2201.12673
In recent years tremendous efforts have been done to advance the state of the art for Natural Language Processing (NLP) and audio recognition. However, these efforts often translated in increased power consumption and memory requirements for bigger a
Externí odkaz:
http://arxiv.org/abs/2112.07011
Event-based vision sensors produce asynchronous event streams with high temporal resolution based on changes in the visual scene. The properties of these sensors allow for accurate and fast calculation of optical flow as events are generated. Existin
Externí odkaz:
http://arxiv.org/abs/2112.06772
Publikováno v:
2021 IEEE ACCESS
This paper studies the suitability of neuromorphic event-based vision cameras for spaceflight, and the effects of neutron radiation on their performance. Neuromorphic event-based vision cameras are novel sensors that implement asynchronous, clockless
Externí odkaz:
http://arxiv.org/abs/2102.00112
Optical flow is a crucial component of the feature space for early visual processing of dynamic scenes especially in new applications such as self-driving vehicles, drones and autonomous robots. The dynamic vision sensors are well suited for such app
Externí odkaz:
http://arxiv.org/abs/1811.11135
This paper presents a new event-based method for detecting and tracking features from the output of an event-based camera. Unlike many tracking algorithms from the computer vision community, this process does not aim for particular predefined shapes
Externí odkaz:
http://arxiv.org/abs/1811.07839