SAM 3D Objects is a foundation model that reconstructs full 3D shape geometry, texture, and layout from a single image, excelling in real-world scenarios with occlusion and clutter by using ...

Kyocera has unveiled a triple lens AI depth camera capable of recognizing semi-transparent, thin, and fine line-shaped objects that are difficult to detect with the human eye and traditional stereo ...

Abstract: Accurate object attribute recognition is crucial for intelligent robots to efficiently accomplish various tasks. However, current methods suffer from limitations such as reliance on ...

We take our understanding of where we are for granted, until we lose it. When we get lost in nature or a new city, our eyes and brains kick into gear, seeking familiar objects that tell us where we ...

InstructSAM is a training-free framework for Instruction-Oriented Object Counting, Detection, and Segmentation (InstructCDS). We construct EarthInstruct, an InstructCDS benchmark for remote sensing.

Abstract: Object recognition and grasping position detection are critical tasks in robotic manipulation, particularly when operating in dynamic and unstructured environments. This paper presents the ...

What if you could teach a computer to recognize a zebra without ever showing it one? Imagine a world where object detection isn’t bound by the limits of endless training data or high-powered hardware.

ABSTRACT: To meet the challenges of time searching for the new method for neuropsychopharmacology is still an ongoing process. In this experiment, we proposed and validated three ...