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Behind every domain there is a shift: adapting distortion-aware vision transformers for panoramic semantic segmentation

Abstract:

In this paper, we address panoramic semantic segmentation which is under-explored due to two critical challenges: (1) image distortions and object deformations on panoramas; (2) lack of semantic annotations in the 360◦ imagery. To tackle these problems, first, we propose the upgraded Transformer for Panoramic Semantic Segmentation, i.e., Trans4PASS+, equipped with Deformable Patch Embedding (DPE) and Deformable MLP (DMLPv2) modules for handling object deformations and image distortions whenev...

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Publication status:
Accepted
Peer review status:
Peer reviewed

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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
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Institution:
University of Oxford
Division:
MPLS
Department:
Physics
Role:
Author
ORCID:
0000-0002-2111-3341
Publisher:
IEEE
Acceptance date:
2024-02-26
Event title:
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024)
Event location:
Seattle, WA, USA
Event website:
https://cvpr.thecvf.com/
Event start date:
2024-06-17
Event end date:
2024-06-21
Language:
English
Keywords:
Pubs id:
2013435
Local pid:
pubs:2013435
Deposit date:
2024-07-10

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