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OG Technologies (United States)

United States

2 papers here81 citations across 2
fields
  • cs.CV2
ROR 02f0ewv41OpenAlex

affiliations via OpenAlex

most citedReversible Architectures for Arbitrarily Deep Residual Neural Networks

72 citations

researchers with a paper here
  • B. Chang1 · h 16
  • David Begert1 · h 2
  • E. Haber1 · h 50
  • E. Holtham1 · h 9
  • Judy Jin1 · h 6
  • Lars Ruthotto1 · h 26
  • Lili Meng1 · h 14
  • Raed Al Kontar1 · h 14
  • Tzyy-Shuh Chang1 · h 11
  • Wenbo Sun1 · h 6
collaborating institutions
  • Emory UniversityUS1 paper
  • Michigan Department of TransportationUS1 paper
  • University of MichiganUS1 paper

2 papers

cs.CV2022★ 9 cited

A Continual Learning Framework for Adaptive Defect Classification and Inspection

Wenbo Sun, Raed Al Kontar, Judy Jin +1

Machine-vision-based defect classification techniques have been widely adopted for automatic quality inspection in manufacturing processes. This article describes a general framewo…

cs.CV2017★ 72 cited

Reversible Architectures for Arbitrarily Deep Residual Neural Networks

Bo Chang, Lili Meng, Eldad Haber +3

Recently, deep residual networks have been successfully applied in many computer vision and natural language processing tasks, pushing the state-of-the-art performance with deeper…

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