Abstract: Open-vocabulary object detection (OVOD) aims to detect the objects beyond the set of classes observed during training. This work introduces a straightforward and efficient strategy that ...

Abstract: Underwater object detection has higher requirements of running speed and deployment efficiency for the detector due to its specific environmental challenges. Nonmaximum suppression (NMS) of ...

The paper is accepted to CVPR2024. Download the VG dataset from the following URL and directly unzip it to the DP-HOI/data/caption folder. Download and unzip the ...

This project aims to develop an object detection system for architectural floor plans using the YOLOv8 model. The system was trained to detect various elements commonly found in floor plans, such as ...

Today's antipersonnel land mines are small and often have plastic casings that standard metal detectors cannot register.

A new study explains how researchers developed a machine-learning system that uses drones and AI to detect plastic landmines ...

What separates an AI camera from a standard backup camera? John Deere answers that question and many more in this Q&A.

The video quickly went viral, raising questions about whether metal particles were present in the product and whether ...

The CarVe program carries significant promise for Cargill North America’s future endeavors in training, yield, food safety ...

Microsoft has been named a leader for the third consecutive time in The Forrester Wave™: Extended Detection and Response ...

Proteins are responsible for most functions in the human body. However, their analysis, which is essential for understanding ...