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Language-Guided Instance-Aware Domain-Adaptive Panoptic Segmentation
The increasing relevance of panoptic segmentation is tied to the advancements in
autonomous driving and AR/VR applications. However, the deployment of such models has …
autonomous driving and AR/VR applications. However, the deployment of such models has …
Leveraging Confident Image Regions for Source-Free Domain-Adaptive Object Detection
Source-free domain-adaptive object detection is an interesting but scarcely addressed topic.
It aims at adapting a source-pretrained detector to a distinct target domain without resorting …
It aims at adapting a source-pretrained detector to a distinct target domain without resorting …
Controlling semantics of diffusion‐augmented data for unsupervised domain adaptation
H Ridley, R Alcover‐Couso… - IET Computer …, 2025 - Wiley Online Library
Unsupervised domain adaptation (UDA) offers a compelling solution to bridge the gap
between labelled synthetic data and unlabelled real‐world data for training semantic …
between labelled synthetic data and unlabelled real‐world data for training semantic …
[PDF][PDF] Unsupervised domain adaptation in panoptic segmentation: Unsupervised adaptive panoptic segmentation with language guidance and instance-aware …
EA Mansour - 2024 - research-collection.ethz.ch
The increasing relevance of panoptic segmentation is tied to the advancements in
autonomous driving and AR/VR applications. However, the deployment of such models has …
autonomous driving and AR/VR applications. However, the deployment of such models has …