TACS: Taxonomy Adaptive Cross-Domain Semantic Segmentation

Gong, Rui; Danelljan, Martin; Dai, Dengxin; Paudel, Danda Pani; Chhatkuli, Ajad; Yu, Fisher; Van Gool, Luc

doi:10.1007/978-3-031-19830-4_2

Item

ITEM ACTIONSEXPORT

Add to Basket

Local TagsRelease HistoryDetailsSummary

Released

Conference Paper

TACS: Taxonomy Adaptive Cross-Domain Semantic Segmentation

MPS-Authors

/persons/resource/persons261420

Dai, Dengxin
Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society;

External Resource

No external resources are shared

Fulltext (restricted access)

There are currently no full texts shared for your IP range.

Fulltext (public)

There are no public fulltexts stored in PuRe

Supplementary Material (public)

There is no public supplementary material available

Citation

Gong, R., Danelljan, M., Dai, D., Paudel, D. P., Chhatkuli, A., Yu, F., et al. (2022). TACS: Taxonomy Adaptive Cross-Domain Semantic Segmentation. In S. Avidan, G. Brostow, M. Cissé, G. M. Farinella, & T. Hassner (Eds.), Computer Vision -- ECCV 2022 (pp. 19-35). Berlin: Springer. doi:10.1007/978-3-031-19830-4_2.

Cite as: https://hdl.handle.net/21.11116/0000-000C-1B59-3

Abstract

There is no abstract available