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Focus on the Challenges: Analysis of a User-friendly Data Search
  Approach with CLIP in the Automotive Domain
v1v2 (latest)

Focus on the Challenges: Analysis of a User-friendly Data Search Approach with CLIP in the Automotive Domain

20 April 2023
Philipp Rigoll
Patrick Petersen
Hanno Stage
Lennart Ries
Eric Sax
ArXiv (abs)PDFHTML

Papers citing "Focus on the Challenges: Analysis of a User-friendly Data Search Approach with CLIP in the Automotive Domain"

5 / 5 papers shown
Mcity Data Engine: Iterative Model Improvement Through Open-Vocabulary Data Selection
Mcity Data Engine: Iterative Model Improvement Through Open-Vocabulary Data Selection
Daniel Bogdoll
Rajanikant Ananta
Abeyankar Giridharan
Isabel Moore
Gregory Stevens
Henry X. Liu
VLM
367
0
0
30 Apr 2025
Data Quality Matters: Quantifying Image Quality Impact on Machine Learning Performance
Data Quality Matters: Quantifying Image Quality Impact on Machine Learning Performance
Christian Steinhauser
Philipp Reis
Hubert Padusinski
Jacob Langner
Eric Sax
112
4
0
28 Mar 2025
CLIPping the Limits: Finding the Sweet Spot for Relevant Images in
  Automated Driving Systems Perception Testing
CLIPping the Limits: Finding the Sweet Spot for Relevant Images in Automated Driving Systems Perception Testing
Philipp Rigoll
Laurenz Adolph
Lennart Ries
Eric Sax
175
1
0
08 Apr 2024
Unveiling Objects with SOLA: An Annotation-Free Image Search on the
  Object Level for Automotive Data Sets
Unveiling Objects with SOLA: An Annotation-Free Image Search on the Object Level for Automotive Data Sets
Philipp Rigoll
Jacob Langner
Eric Sax
236
5
0
04 Dec 2023
Billion-scale similarity search with GPUs
Billion-scale similarity search with GPUsIEEE Transactions on Big Data (TBD), 2017
Jeff Johnson
Matthijs Douze
Edouard Grave
976
4,561
0
28 Feb 2017
1