Condition-invariant semantic segmentation
Adaptation of semantic segmentation networks to different visual conditions is vital for robust
perception in autonomous cars and robots. However, previous work has shown that most …
perception in autonomous cars and robots. However, previous work has shown that most …
Condition-Invariant Semantic Segmentation
C Sakaridis, D Bruggemann, F Yu… - arXiv e-prints, 2023 - ui.adsabs.harvard.edu
Adaptation of semantic segmentation networks to different visual conditions is vital for robust
perception in autonomous cars and robots. However, previous work has shown that most …
perception in autonomous cars and robots. However, previous work has shown that most …
[PDF][PDF] Condition-Invariant Semantic Segmentation
C Sakaridis, D Bruggemann, F Yu, L Van Gool - people.ee.ethz.ch
Adaptation of semantic segmentation networks to different visual conditions from those for
which ground-truth annotations are available at training is vital for robust perception in …
which ground-truth annotations are available at training is vital for robust perception in …
[PDF][PDF] Condition-Invariant Semantic Segmentation
C Sakaridis, D Bruggemann, F Yu, L Van Gool - people.ee.ethz.ch
Adaptation of semantic segmentation networks to different visual conditions from those for
which ground-truth annotations are available at training is vital for robust perception in …
which ground-truth annotations are available at training is vital for robust perception in …