Results 41 to 50 of about 362,159 (292)
CIFAR10-DVS: An Event-Stream Dataset for Object Classification
Neuromorphic vision research requires high-quality and appropriately challenging event-stream datasets to support continuous improvement of algorithms and methods.
Hongmin Li +5 more
doaj +1 more source
Event-based vision in magneto-optic Kerr effect microscopy
Magneto-optic Kerr effect (MOKE) microscopy is a widely used technique for observation and characterization of microscopic magnetic structures. While being efficient and easy-to-use, current commercial MOKE microscopes are not superb in time resolution ...
Kai Zhang +3 more
doaj +1 more source
GET: Group Event Transformer for Event-Based Vision
This paper is accepted by ICCV ...
Yansong Peng +4 more
openaire +2 more sources
Spatiotemporal Feature Learning for Event-Based Vision
Submitted to IEEE Transactions in Neural Networks and Learning ...
Rohan Ghosh +4 more
openaire +2 more sources
We will demonstrate an FPGA implementation of an event- based vision sensor using a commercially available frame- based camera. The demonstration setup consists of the host PC that includes the Quartus Prime software which is used to program and ...
Ying Xu +7 more
core +1 more source
Bioinspired event-driven collision avoidance algorithm based on optic flow
Any mobile agent, whether biological or robotic, needs to avoid collisions with obstacles. Insects, such as bees and flies, use optic flow to estimate the relative nearness to obstacles. Optic flow induced by ego-motion is composed of a translational and
Benosmanz, Ryad +12 more
core +1 more source
Semantic-based policy engineering for autonomic systems [PDF]
This paper presents some important directions in the use of ontology-based semantics in achieving the vision of Autonomic Communications. We examine the requirements of Autonomic Communication with a focus on the demanding needs of ubiquitous computing ...
Carey, Kevin +14 more
core +1 more source
EventSegNet: Direct Sparse Semantic Segmentation from Event Data
Semantic segmentation tasks encompass various applications, such as autonomous driving, medical imaging, and robotics. Achieving accurate semantic information retrieval under conditions of high dynamic range and rapid scene changes remains a significant ...
Pengju Li +7 more
doaj +1 more source
Knowledge-based vision and simple visual machines [PDF]
The vast majority of work in machine vision emphasizes the representation of perceived objects and events: it is these internal representations that incorporate the 'knowledge' in knowledge-based vision or form the 'models' in model-based vision. In this
Dave Cliff +3 more
core +1 more source
Event-based spatio-temporal down-sampling
—As vision sensors for autonomous systems, event based cameras provide numerous benefits over conventional cameras including higher dynamic range and temporal resolution as well as lower bandwidth and power requirements.
Anindya Ghosh (11447215) +2 more
core +1 more source

