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Traffic Scenario Clustering by Iterative Optimisation of Self-Supervised
  Networks Using a Random Forest Activation Pattern Similarity

Traffic Scenario Clustering by Iterative Optimisation of Self-Supervised Networks Using a Random Forest Activation Pattern Similarity

17 May 2021
Lakshman Balasubramanian
Jonas Wurst
M. Botsch
Ke Deng
ArXivPDFHTML

Papers citing "Traffic Scenario Clustering by Iterative Optimisation of Self-Supervised Networks Using a Random Forest Activation Pattern Similarity"

2 / 2 papers shown
Title
1001 Ways of Scenario Generation for Testing of Self-driving Cars: A
  Survey
1001 Ways of Scenario Generation for Testing of Self-driving Cars: A Survey
barbara Schutt
Joshua Ransiek
Thilo Braun
Eric Sax
45
13
0
21 Apr 2023
Mean teachers are better role models: Weight-averaged consistency
  targets improve semi-supervised deep learning results
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results
Antti Tarvainen
Harri Valpola
OOD
MoMe
264
1,275
0
06 Mar 2017
1