Panoramic Panoptic Segmentation: Insights Into Surrounding Parsing for Mobile Agents via Unsupervised Contrastive Learning-Reference-Cited by-同舟云学术

Panoramic Panoptic Segmentation: Insights Into Surrounding Parsing for Mobile Agents via Unsupervised Contrastive Learning

Author:

Jaus Alexander¹^ORCID,Yang Kailun¹^ORCID,Stiefelhagen Rainer¹

Affiliation:

1. Institute for Anthropomatics and Robotics, Karlsruhe Institute of Technology, Karlsruhe, Germany

Funder

Federal Ministry of Labor and Social Affairs (BMAS) through the AccessibleMaps Project

University of Excellence through the “KIT Future Fields” Project

Competence Center Karlsruhe for AI Systems Engineering [CC-KING] Sponsored by the Ministry of Economic Affairs, Labor and Housing Baden-Württemberg

Helmholtz Association Initiative and Networking Fund on the HAICORE@KIT Partition

Hangzhou SurImage Technology Company Ltd

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

Reference99 articles.

4. Per-pixel classification is not all you need for semantic segmentation;cheng;Proc NeurIPS,2021

5. K-Net: Towards unified image segmentation;zhang;Proc NeurIPS,2021

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