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GTC ON-DEMAND

Computer Vision
Presentation
Media
Bridging Neuroscience and GPU Computing to Build General Purpose Computer Vision
Speakers:
Nicolas Pinto
- Massachusetts Institute of Technology
Abstract:
The construction of artificial vision systems and the study of biological vision are naturally intertwined as they represent simultaneous efforts to forward- and reverse-engineer systems with similar goals. Here, we present a high-throughput approach to more expansively explore biologically-inspired models by leveraging GPUs. We show that this approach can yield significant gains in performance on object and face recognition (including "Labeled Faces in the Wild" challenge and faces from Facebook), consistently outperforming the state-of-the-art. We highlight how the application of flexible programming tools, such as high-level scripting, template metaprogramming/auto-tuning, can enable large performance gains, while managing complexity for the developer.
 
Topics:
Computer Vision
Type:
Poster
Event:
GTC Silicon Valley
Year:
2010
Session ID:
P10F05
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