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Self-supervised Representation Learning for Reliable Robotic Monitoring
  of Fruit Anomalies

Self-supervised Representation Learning for Reliable Robotic Monitoring of Fruit Anomalies

21 September 2021
Taeyeong Choi
Owen Would
A. Gomez
Grzegorz Cielniak
ArXivPDFHTML

Papers citing "Self-supervised Representation Learning for Reliable Robotic Monitoring of Fruit Anomalies"

1 / 1 papers shown
Title
INoD: Injected Noise Discriminator for Self-Supervised Representation
  Learning in Agricultural Fields
INoD: Injected Noise Discriminator for Self-Supervised Representation Learning in Agricultural Fields
Julia Hindel
Nikhil Gosala
Kevin Bregler
Abhinav Valada
29
6
0
31 Mar 2023
1