“Our research shows that there’s strong demand for storage consumption models in Europe,” said Luis Fernandes, Senior Research Manager, IDC. “Organizations want to free up staff for higher-value work ...

Estimating the pose of hand-held objects is a critical and challenging problem in robotics and computer vision. While leveraging multi-modal RGB and depth data is a promising solution, existing ...

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Roboflow has launched RF-DETR, a real-time object detection model tailored for embedded systems, edge devices, and low-latency applications. Rather than competing in the race for scale among ...

Abstract: At present, object detection is a crucial technology, which plays an indispensable role in the field of object recognition, such as garbage detection conducted by unmanned boats in cleaning ...

Abstract: In practical application scenarios, the objects to be detected are characterized by a large number, irregular shape, non-uniform size and dense distribution, etc. Traditional object ...

Today we’re introducing the Segment Anything Model 2 (SAM 2), the first unified model that can identify which pixels belong to a target object in an image or video. SAM 2 can segment any object and ...

The number of academic papers released daily is increasing, making it difficult for researchers to track all the latest innovations. Automating the data extraction process, especially from tables and ...