arXiv cs.CV
· Papers
Ordinal Neural Collapse as a Representation Prior for Visual Navigation
arXiv:2606.26839v1 Announce Type: cross Abstract: Learning robust navigation policies directly from visual observations remains a fundamental challenge in vision-based robotic navigation. In end-to-end imitation learning approaches, the visual encoder and action decoder are jointly optimized using a single action loss,