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GitHub / darrenjkt / SEE-MTDA

(RA-L 2022) See Eye to Eye: A Lidar-Agnostic 3D Detection Framework for Unsupervised Multi-Target Domain Adaptation.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/darrenjkt%2FSEE-MTDA
PURL: pkg:github/darrenjkt/SEE-MTDA

Stars: 49
Forks: 8
Open issues: 1

License: apache-2.0
Language: Python
Size: 42.3 MB
Dependencies parsed at: Pending

Created at: over 3 years ago
Updated at: 7 months ago
Pushed at: over 2 years ago
Last synced at: 5 months ago

Topics: 3d-object-detection, autonomous-driving, computer-vision, deep-learning, object-detection, surface-completion, unsupervised-domain-adaptation

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