OV-DEIM is a real-time DETR-style framework for open-vocabulary object detection. It extends DEIMv2 to the open-vocabulary setting and achieves state-of-the-art performance on open-vocabulary ...
At BIT Mesra in Ranchi, a three-woman team has trained AI to detect and analyse lunar craters. The ISRO-backed work could support crater dating, navigation planning and future Moon landing missions.
Early detection remains one of the most critical determinants of cancer outcomes. Despite significant advances in imaging and systemic therapies, a substantial proportion of patients diagnosed with ...
Modern smartphones are packed with incredible technology, from high-resolution cameras and advanced graphics chips to AI processors. In premium models, this hardware includes LiDAR (light detection ...
Abstract: With the rapid proliferation of Unmanned Aerial Vehicle (UAV) applications, the ensuing airspace security surveillance demands reveal that existing detection methods face dual challenges in ...
Abstract: One important field of study that combines language processing and computer vision to produce descriptive text from images is image captioning, which uses deep learning and natural language ...
This repo builds OpenCV-friendly ONNX exports of official Ultralytics YOLO segmentation models for use in OpenShot and libopenshot. The generated models are static ONNX graphs: no Python, PyTorch, or ...