May 10, 2024, 4:45 a.m. | Manli Shu, Le Xue, Ning Yu, Roberto Mart\'in-Mart\'in, Caiming Xiong, Tom Goldstein, Juan Carlos Niebles, Ran Xu

cs.CV updates on

arXiv:2301.02650v2 Announce Type: replace
Abstract: 3D object detection is an essential vision technique for various robotic systems, such as augmented reality and domestic robots. Transformers as versatile network architectures have recently seen great success in 3D point cloud object detection. However, the lack of hierarchy in a plain transformer restrains its ability to learn features at different scales. Such limitation makes transformer detectors perform worse on smaller objects and affects their reliability in indoor environments where small objects are the …

3d object 3d object detection abstract architectures arxiv attention augmented reality cloud detection domestic robots hierarchical however network object reality robotic robots success systems transformer transformers type vision

Doctoral Researcher (m/f/div) in Automated Processing of Bioimages

@ Leibniz Institute for Natural Product Research and Infection Biology (Leibniz-HKI) | Jena

Seeking Developers and Engineers for AI T-Shirt Generator Project

@ Chevon Hicks | Remote

Software Engineer for AI Training Data (School Specific)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Python)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Tier 2)

@ G2i Inc | Remote

Data Quality Intern

@ Syngenta Group | Toronto, Ontario, Canada