Abstract: Based on analyzing the character of cascaded decoder architecture commonly adopted in existing DETR-like models, this paper proposes a new decoder architecture. The cascaded decoder ...

– 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 ...

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 ...

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 ...

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, ...

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 ...

First and foremost, thank you for all your hard work on Label Studio and its ML backend. It's a great tool for the data science community, and I'm very grateful for the effort you've put into ...

Introduction: Recent advances in artificial intelligence have transformed the way we analyze complex environmental data. However, high-dimensionality, spatiotemporal variability, and heterogeneous ...

Description: I have created a machine learning model for object detection using ML.net Model Builder (MLModel1.zip). The model was successfully tested using the automatically generated project by ...