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 ...

The pigeons in the study even started recognizing other health problems they weren't trained on.

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

It is important to clarify: we do not use VLMs to drive the robot. Using a heavy cloud model to steer in real time would ...

Undoubtedly, video content has become one of the main storytelling tools for market professionals, brands, content creators, ...

The U.S. Department of War released 72 files describing unidentified anomalous phenomena on June 12, 2026, and among the ...

Researchers at Binghamton have studied how wars, such as in Ukraine, have led to better landmine detection and don't require internet connections.

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

Teledyne FLIR OEM has launched Prism Ground ISR, a new software platform designed to ...