Hanwha Vision, a pioneer in security and surveillance solutions, is excited to introduce the second-generation X series AI ...

Combining the way that massive galaxies and galaxy clusters bend space and magnify our view of the distant universe with ...

Faster-RCNN introduces a Region Proposal Network (RPN) and shared convolutional features to achieve end to end training, efficiently generate candidate regions, and provide high precision and ...

Single-stage detection algorithms include the YOLO (You Only Look Once) series and the Single Shot MultiBox Detector (SSD). The Mask R-CNN architecture is a powerful and versatile extension of Faster ...

This is a Flask-based web application that performs object detection on images,videos using the Mask R-CNN model. Users can upload images,video and the application will detect and highlight objects in ...

ABSTRACT: Semantic segmentation is a core task in computer vision that allows AI models to interact and understand their surrounding environment. Similarly to how humans subconsciously segment scenes, ...

Meet OWLSAM2: a groundbreaking project that combines the cutting-edge zero-shot object detection capabilities of OWLv2 with the state-of-the-art mask generation prowess of SAM2 (Segment Anything Model ...

Face mask wearing detection is an important technical approach to improve public health safety and real-time monitoring efficiency. However, under extreme lighting or weather conditions, it is ...

Abstract: In 3D point cloud-based object detection, attention mechanism in Group-Free [1 ... In this work, we alleviate the above problem by proposing a mask method. For an initial proposal, our ...