This moment of revelation is common to many people who don’t form mental images. They report that they might never have thought about this aspect of their inner life if not for a chance conversation, ...

Abstract Over the past years, YOLOs have emerged as the predominant paradigm in the field of real-time object detection owing to their effective balance between computational cost and detection ...

RF-DETR is a real-time, transformer-based object detection model architecture developed by Roboflow and released under the Apache 2.0 license. RF-DETR is the first real-time model to exceed 60 AP on ...

Real, cake, or slime? Let’s find out. At this point, nothing can be trusted anymore. Cakes look like books. Slime looks solid. And perfectly normal objects turn out to be edible. If you’ve ever looked ...

Abstract: Meters in electrical equipment are often potentially threatened by foreign objects suspended on power lines, which can raise the risk of short circuits or ground faults in the line, leading ...

IIIF provides researchers rich metadata and media viewing options for comparison of works across cultural heritage collections. Visit the IIIF page to learn more. This wooden model of a rectangular ...

Abstract: Out-of-distribution (OoD) inputs pose a persistent challenge to deep learning models, often triggering overconfident predictions on non-target objects. While prior work has primarily focused ...