Data Augmentation and Optimized Architectures for Computer Vision - Fatih Porikli - 635
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 opt…
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Chapters (9)
1:03
Background
3:51
Data augmentation techniques
7:15
AI needs efficient architectures, data & memory
14:37
Optical flow: tracking movement between frames
25:48
Improving optical flow through DIFT
37:12
Imitation learning with capable and limited networks
42:48
Generating 3D data without manual labeling
50:21
Image conditioning controls AI-generated images
54:08
Generative AI is changing everything in Computer Vision
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