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Augmenting Safety-Critical Driving Scenarios while Preserving Similarity
  to Expert Trajectories

Augmenting Safety-Critical Driving Scenarios while Preserving Similarity to Expert Trajectories

20 April 2024
Hamidreza Mirkhani
Behzad Khamidehi
Kasra Rezaee
ArXivPDFHTML

Papers citing "Augmenting Safety-Critical Driving Scenarios while Preserving Similarity to Expert Trajectories"

3 / 3 papers shown
Title
Data Augmentation using Pre-trained Transformer Models
Data Augmentation using Pre-trained Transformer Models
Varun Kumar
Ashutosh Choudhary
Eunah Cho
VLM
209
315
0
04 Mar 2020
Delta-encoder: an effective sample synthesis method for few-shot object
  recognition
Delta-encoder: an effective sample synthesis method for few-shot object recognition
Eli Schwartz
Leonid Karlinsky
J. Shtok
Sivan Harary
Mattias Marder
Rogerio Feris
Abhishek Kumar
Raja Giryes
A. Bronstein
181
350
0
12 Jun 2018
SMOTE: Synthetic Minority Over-sampling Technique
SMOTE: Synthetic Minority Over-sampling Technique
Nitesh V. Chawla
Kevin W. Bowyer
Lawrence Hall
W. Kegelmeyer
AI4TS
160
25,214
0
09 Jun 2011
1