Coordinating complicated interactive systems, whether it's the different modes of transportation in a city or the various ...

circuit-based system for object detection and recognition using a Spiking Neural Network (SNN). Our holistic CMOS circuit integrates neuromorphic elements, including a leaky integrate-and-fire (LIF) ...

Abstract: The detection of ... the domain of aerial image object detection. In this manuscript, a spatial context-aware selection network (SCASNet) is proposed, which innovatively integrates a state ...

RF-DETR is a real-time, transformer-based object detection model architecture developed by Roboflow and released under the Apache 2.0 license. RF-DETR is the first real-time model to exceed 60 AP on ...

This study addresses the growing demand for news text classification driven by the rapid expansion of internet information by proposing a classification algorithm based on a Bidirectional Gated ...

The CNN model is ... The diagram for generating the new features. fields, which inspires us to discuss in this orientation. CNN can directly encode the spatial structure of the input, that is, the ...

This innovative approach significantly enhances object detection ... scenes where object detection has previously struggled. As per IISc, this helps the model “see” the object in a wide ...

OpenAI has released its latest artificial intelligence model, which it said is capable of "thinking with images," meaning it can understand and analyze a user's sketches and diagrams, even if they ...

"At Object First, we’re committed to providing the best defense against ransomware by providing immutability for everyone. With the introduction of our Consumption model, we provide flexibility ...