Unveiling Objects with SOLA: An Annotation-Free Image Search on the Object Level for Automotive Data Sets
Author:
Affiliation:
1. FZI Research Center for Information Technology,Karlsruhe,Germany,76131
2. Karlsruhe Institute of Technology,Karlsruhe,Germany,76131
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10587320/10588370/10588869.pdf?arnumber=10588869
Reference33 articles.
1. Beat the MTurkers: Automatic Image Labeling from Weak 3D Supervision;Chen
2. Focus on the Challenges: Analysis of a User-friendly Data Search Approach with CLIP in the Automotive Domain;Rigoll
3. BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning;Yu,2020
4. Towards a Data Engineering Process in Data-Driven Systems Engineering;Petersen
5. Automotive big data: Applications, workloads and infrastructures;Luckow
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