Abstract: Domain adaptive object detection (DAOD) aims to develop a detector trained on labeled source domains to identify objects in unlabeled target domains. A primary challenge in DAOD is the ...

Humanoid robots are increasingly capable of performing complex real-world tasks, but many still struggle with dexterous object manipulation and navigation in dynamic environments. Carnegie Mellon ...

Abstract: Recently, diffusion models have significantly improved the performance of Camouflaged Object Detection (COD) by adding noise to a mask and iteratively denoising it to match the target ...

If you use Google's Chrome browser for desktop, there's probably a Gemini Nano AI model running on your computer right now and taking up about 4 GB of space. That's not necessarily a bad thing, but if ...

For years, web browsers quietly competed over speed, tabs and memory usage. Now, they are fighting a very different battle: artificial intelligence. And in the process, your browser may be taking up ...

As my colleague wrote on Wednesday, it appears that the Chrome browser quietly and in a squirrel-like fashion hides a 4-gigabyte AI model inside users’ systems in a ...

We introduce Any6D, a model-free framework for 6D object pose estimation that requires only a single RGB-D anchor image to estimate both the 6D pose and size of unknown objects in novel scenes. Unlike ...

Run a team of browser agents on your desktop. Every AI browser tries to be both a browser and an agent. Keep your normal Chrome — this is just the agent half. Ports your cookies into a fresh Chromium ...