Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Käppeler, Markus"'
Publikováno v:
IEEE Robotics and Automation Letters, vol. 10, no. 1, pp. 216-223, January 2025
A key challenge for the widespread application of learning-based models for robotic perception is to significantly reduce the required amount of annotated training data while achieving accurate predictions. This is essential not only to decrease oper
Externí odkaz:
http://arxiv.org/abs/2405.19035
Publikováno v:
IEEE International Conference on Robotics and Automation, 2024, pp. 7718-7724
Current state-of-the-art methods for panoptic segmentation require an immense amount of annotated training data that is both arduous and expensive to obtain posing a significant challenge for their widespread adoption. Concurrently, recent breakthrou
Externí odkaz:
http://arxiv.org/abs/2309.10726