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Data Augmentation and Optimized Architectures for Computer Vision with Fatih Porikli - #635

2023-06-26 · 53 min · episode 635 · 13 entities

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    Data Augmentation and Optimized Architectures for Computer Vision with Fatih Porikli - #635
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Entities found in this episode

concepts 5

  • mentioned Science concept
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  • mentioned Tech News concept
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    evidence rules-v4
    Feed category: Science
  • discusses News concept
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    evidence rules-v4
    Feed category: News
  • discusses Tech News concept
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    evidence rules-v4
    Feed category: Tech News

companys 4

  • mentioned TWIML company
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    Feed author/publisher: TWIML
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  • hosted by TWIML company
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    Feed author/publisher: TWIML

persons 3

  • mentioned Fatih Porikli person
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    Data Augmentation and Optimized Architectures for Computer Vision with Fatih Porikli - #635
  • mentioned Sam Charrington person
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    evidence rules-v4
    Feed author/publisher: Sam Charrington
  • hosted by Sam Charrington person
    0.55
    evidence rules-v4
    Feed author/publisher: Sam Charrington

podcasts 1

Episode description as stored
Today we kick off our coverage of the 2023 CVPR conference joined by Fatih Porikli, a Senior Director of Technology at Qualcomm. In our conversation with Fatih, we covered quite a bit of ground, touching on a total of 12 papers/demos, focusing on topics like data augmentation and optimized architectures for computer vision. We explore advances in optical flow estimation networks, cross-model, and stage knowledge distillation for efficient 3D object detection, and zero-shot learning via language models for fine-grained labeling. We also discuss generative AI advancements and computer vision optimization for running large models on edge devices. Finally, we discuss objective functions, architecture design choices for neural networks, and efficiency and accuracy improvements in AI models via the techniques introduced in the papers.