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Automatic universal taxonomies for multi-domain semantic segmentation

v1v2v3 (latest)

Automatic universal taxonomies for multi-domain semantic segmentation

British Machine Vision Conference (BMVC), 2022

18 July 2022

Petra Bevandić

ArXiv (abs)PDF HTML Github

Papers citing "Automatic universal taxonomies for multi-domain semantic segmentation"

4 / 4 papers shown

Bridging Annotation Gaps: Transferring Labels to Align Object Detection Datasets

Bridging Annotation Gaps: Transferring Labels to Align Object Detection Datasets

Mikhail Kennerley

Angelica E. Avilés-Rivero

Carola-Bibiane Schonlieb

315

3

0

05 Jun 2025

Weakly supervised training of universal visual concepts for multi-domain
semantic segmentation

Weakly supervised training of universal visual concepts for multi-domain semantic segmentationInternational Journal of Computer Vision (IJCV), 2022

Petra Bevandić

Ivan Grubišić

636

7

0

20 Dec 2022

Universal Object Detection with Large Vision Model

Universal Object Detection with Large Vision ModelInternational Journal of Computer Vision (IJCV), 2022

Yaowei Wang

Yonghong Tian

347

10

0

19 Dec 2022

An Empirical Study on Multi-Domain Robust Semantic Segmentation

An Empirical Study on Multi-Domain Robust Semantic SegmentationInternational Journal of Computer Vision (IJCV), 2022

Qingjie Liu

Yunhong Wang

184

3

0

08 Dec 2022

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