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Open panoramic segmentation
Panoramic images, capturing a 360∘ field of view (FoV), encompass omnidirectional spatial
information crucial for scene understanding. However, it is not only costly to obtain training …
information crucial for scene understanding. However, it is not only costly to obtain training …
Multi-source domain adaptation for panoramic semantic segmentation
Unsupervised domain adaptation methods for panoramic semantic segmentation utilize real
pinhole images or low-cost synthetic panoramic images to transfer segmentation models to …
pinhole images or low-cost synthetic panoramic images to transfer segmentation models to …
Otclda: Optimal transport and contrastive learning for domain adaptive semantic segmentation
Unsupervised domain adaptive (UDA) semantic segmentation aims to assign a
predetermined semantic label to every single pixel of the unannotated target data by …
predetermined semantic label to every single pixel of the unannotated target data by …
FishDreamer: Towards fisheye semantic completion via unified image outpainting and segmentation
This paper raises the new task of Fisheye Semantic Completion (FSC), where dense texture,
structure, and semantics of a fisheye image are inferred even beyond the sensor field-of …
structure, and semantics of a fisheye image are inferred even beyond the sensor field-of …
Occlusion-Aware Seamless Segmentation
Panoramic images can broaden the Field of View (FoV), occlusion-aware prediction can
deepen the understanding of the scene, and domain adaptation can transfer across viewing …
deepen the understanding of the scene, and domain adaptation can transfer across viewing …
DarSwin: distortion aware radial swin transformer
Wide-angle lenses are commonly used in perception tasks requiring a large field of view.
Unfortunately, these lenses produce significant distortions making conventional models that …
Unfortunately, these lenses produce significant distortions making conventional models that …
S&gda: An unsupervised domain adaptive semantic segmentation framework considering both imaging scene and geometric domain shifts
H Chen, L Cheng, N Li, YC Yao… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Unsupervised domain adaptation uses labeled data from a source domain (SD) to help
learn a target domain (TD) without any labeled data. Previous studies have not …
learn a target domain (TD) without any labeled data. Previous studies have not …