Fig 3.Still Image Object Detection. ... See GIF below. Through various experimentation, I found that the API performs very well even on items that are only partially visible. III. A GENERAL FRAMEWORK ...

Object detection is an essential step in various applications. After deep learning appeared, convolutional neural networks or transformers have shown significant improvement in object detection ...

Researchers have developed a new high-speed way to detect the location, size and category of multiple objects without acquiring images or requiring complex scene reconstruction. Because the new ...

Microsoft improved the object detection capabilities of its ML.NET machine learning framework for .NET developers, adding the ability to train custom models with Model Builder in Visual Studio. ML.NET ...

This repo is the official implementation for Object Detection in Hyperspectral Image via Unified Spectral-Spatial Feature Aggregation. The paper has been accepted to TGRS 2023. Abstract. Deep learning ...

On February 6, 2025, Andrew Ng announced the launch of Agentic Object Detection, a new technology that uses an agentic workflow to detect specified objects within images based on text prompts, without ...

Oriented object detection (OOD) in remote sensing images (RSIs) remains a challenging work due to an arbitrary orientation of instances. Learning rotation-invariant features is critical in modeling a ...