Nature

Few-shot concealed object detection in sub-THz security images using improved pseudo-annotations

In this research, we explore the few-shot object detection application for identifying concealed objects in sub-terahertz security images, using fine-tuning based frameworks. To adapt these machine ...
Science Daily

Researchers develop a novel vote-based model for more accurate hand-held object pose estimation

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 ...
Nature

Improving performance for multi-category anthropogenic debris detection in river environments by using a size-tailored annotation approach and data augmentation

Accurate detection of anthropogenic riverine debris is essential for environmental monitoring and sustainable waterway management. While deep learning-based object detection methods have shown ...
EurekAlert!

Deep-reinforcement-learning-based robot motion strategies for grabbing objects from human hands

Deepreinforcement learning has disadvantages such as low sample utilization and slow convergence, and thousandsof trial-and-error iterations are required to perform ...
Nanowerk

Shark-inspired electronic skin gives robotic hands the ability to sense objects without touching them

A flexible electronic skin inspired by shark electroreception lets robotic hands identify object shapes and materials through both non-contact electrostatic scanning and touch-based sensing. (Nanowerk ...