Researchers at the University of Southampton have developed an artificial intelligence (AI) tool that can spot hard-to-see ...
Introduced in the paper "Roboflow 100-VL: A Multi-Domain Object Detection Benchmark for Vision-Language Models", RF100-VL is a large-scale collection of 100 multi-modal datasets with diverse concepts ...
With the rapid development of marine resource exploitation and the increasing demand for underwater robot inspection, achieving reliable target perception in turbid, low-illumination, and spectrally ...
Four sewing projects using fabric scraps. DIY upcycling ideas for handmade items. World Series 2025: 18 innings, 11 runs, one walk-off and an epic Game 3 DHS in Hot Water After Posting Doctored Clip ...
4D millimeter-wave radar has emerged as a promising sensor for autonomous driving, but effective 3D object detection from both 4D radar and monocular images remains a challenge. Existing fusion ...
Abstract: With the rise of autonomous driving, LiDAR-based object detection using deep neural networks (DNNs) has shown exceptional performance. However, DNNs are vulnerable to adversarial attacks, ...
Abstract: Visible-infrared object detection has been widely applied in multimodal remote sensing image perception tasks due to the strong complementarity between the two modalities. However, ...