Learning to Learn for Small Sample Visual Recognition
Understanding how humans and machines recognize novel visual concepts from few examples remains a fundamental challenge. Humans are remarkably able to grasp a new concept and make meaningful generalization from just few examples. By contrast, state-ofthe- art machine learning techniques and visual r...
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| Format: | Others |
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Research Showcase @ CMU
2018
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| Online Access: | http://repository.cmu.edu/dissertations/1222 http://repository.cmu.edu/cgi/viewcontent.cgi?article=2261&context=dissertations |