Abstract: Open-world object detection (OWOD) extends object detection problem to a realistic and dynamic scenario, where a detection model is required to be capable of detecting both known and unknown ...
Currently in private beta, the GPT-5-powered security agent scans, reasons, and patches software like a real researcher, aiming to embed AI-driven defense into the development workflow. OpenAI has ...
Dark matter is believed to make up more than 80 percent of all matter in the universe, but what it actually is remains a mystery. Now, astronomers have found something that gives us a major clue. This ...
Scientist Demonstrates Detection of Near-Earth Objects Like Spacecraft and Asteroids with Heliostats
According to a statement emailed to The Debrief and a separate story on the organization’s website, when Dr. John Sandusky first joined Sandia almost 20 years ago, he was asked if the heliostats at ...
Abstract: Few-shot object detection (FSOD) has attracted significant research attention in remote sensing due to its potential to reduce reliance on large annotated datasets. However, two challenges ...
We propose MaskCut approach to generate pseudo-masks for multiple objects in an image. CutLER can learn unsupervised object detectors and instance segmentors solely on ImageNet-1K. CutLER exhibits ...
Introduction On the wave of current trends in computer vision and drone applications, we are introducing you to a project that we worked on “Landing of Drone on an object”. In general, this means ...
Debugging can truly get on your nerves at times. But that’s part of our job—sometimes more than actual coding itself. Imagine writing a prime number checker, only to find out it’s identifying ...
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