IEEE

Every Dataset Counts: Scaling up Monocular 3D Object Detection with Joint Datasets Training

Abstract: Monocular 3D object detection is essential for autonomous driving. However, current monocular 3D detection algorithms rely on expensive 3D labels from LiDAR scans, making it difficult to use ...
IEEE

Open-CRB: Toward Open World Active Learning for 3D Object Detection

Abstract: LiDAR-based 3D object detection has recently seen significant advancements through active learning (AL), attaining satisfactory performance by training on a small fraction of strategically ...
C&EN

Wood-Based Oriented Object Deposition for Programmable Mechanical and 3D Fluidic Control

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. The aligned fibrous architecture and intrinsic porosity of natural wood offer unique ...
Nature

Bespoke 3D printing adapted to features mapped using computer vision

When 3D printing was invented more than 40 years ago, it was a linear process, and its workflow remains essentially unchanged. Typically, users decide on a geometry to print, without precise knowledge ...