Abstract: This paper presents a real-time object detection and tracking algorithm for forward-looking sonar image sequences to enhance navigation and obstacle avoidance algorithms for autonomous ...

Abstract: Object detection is a fundamental task in computer vision, involving the prediction of bounding boxes and class labels for Regions of Interest (ROI) within images. Traditionally, ...

– Leading institutional investors commit $240 million through private investment in public equity (PIPE) led by Perceptive Advisors and RA Capital – – Freenome stockholders, PCSC shareholders and PIPE ...

This project implements a comprehensive Computer Vision MLOps pipeline for aerial object analysis, specifically designed to classify and detect birds vs drones in aerial imagery. The system combines: ...

We’re introducing SAM 3 and SAM 3D, the newest additions to our Segment Anything Collection, which advance AI understanding of the visual world. SAM 3 enables detection and tracking of objects in ...

Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle with ...

State Key Laboratory of Marine Food Processing and Safety Control, Dalian Polytechnic University, Dalian 116034, Liaoning, China College of Food Science and Technology, Huazhong Agricultural ...

Small object detection is a critical task in applications like autonomous driving and ship black smoke detection. While Deformable DETR has advanced small object detection, it faces limitations due to ...