Abstract: Recognizing objects in the 3D world is a significant challenge for robotics. Due to the lack of high-quality 3D data, directly training a general-purpose segmentation model in 3D is almost ...

Abstract: Recent 3D Instance Segmentation methods typically encode hundreds of instance-wise candidates with instance-specific information in various ways and refine them into final masks. However, ...

Segmenting 3D objects into parts is a long-standing challenge in computer vision. To overcome taxonomy constraints and generalize to unseen 3D objects, recent works turn to open-world part ...

Overview of VeloxSeg. VeloxSeg employs an encoder-decoder architecture with Paired Window Attention (PWA) and Johnson-Lindenstrauss lemma-guided convolution (JLC) on the left, using 1x1 convolution as ...

1 School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China 2 Pediatric Epilepsy Center, Peking University First Hospital, Beijing, China ...

I’m the deputy managing editor of the hardware team at PCMag.com. Reading this during the day? Then you've caught me testing gear and editing reviews of laptops, desktop PCs, and tons of other ...

Perhaps the most important analytical process of marketing is segmentation. By segmenting the market, one obtains a very clear understanding of customers and ultimately provides a basis for clear and ...

Fashion brand Ralph Lauren’s claim to design dreams, not clothes, was in danger of being eclipsed by a lack of customer understanding. Margins and the brand’s image were being eroded by continual ...