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Visual Learning and Recognition: Difference between revisions
Visual Learning and Recognition (view source)
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In tiny images <ref name="torralba2008tinyimages"></ref>, Torrabla ''et al.'' use 80 million tiny images. | In tiny images <ref name="torralba2008tinyimages"></ref>, Torrabla ''et al.'' use 80 million tiny images. | ||
;What is the capacity of visual long term memory? | |||
In Standing (1973)<ref name="standing1973learning"></ref>, people could recall whether they've seen 10,000 images with 83% recognition. | |||
;What we don't know is what people are remembering for each item? | |||
In Brady ''et al.''<ref name="brady2008visual"></ref>, they tested recall for novel (new object), exemplar (same type of object), and state (same object & state). They got 92% for novel, 88% for exemplar, and 87% for state so humans remember the exact state of objects they've seen. | |||
==Data-driven Methods in Vision== | ==Data-driven Methods in Vision== | ||
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<ref name="torralba2008tinyimages">Antonio Torralba, Rob Fergus and William T. Freeman (2008). 80 million tiny images: a large dataset for | <ref name="torralba2008tinyimages">Antonio Torralba, Rob Fergus and William T. Freeman (2008). 80 million tiny images: a large dataset for | ||
non-parametric object and scene recognition (PAMI 2008) [https://people.csail.mit.edu/torralba/publications/80millionImages.pdf https://people.csail.mit.edu/torralba/publications/80millionImages.pdf]</ref> | non-parametric object and scene recognition (PAMI 2008) [https://people.csail.mit.edu/torralba/publications/80millionImages.pdf https://people.csail.mit.edu/torralba/publications/80millionImages.pdf]</ref> | ||
<ref name="standing1973learning">Lionel Standing (1973). Learning 10000 pictures. ''Journal | |||
Quarterly Journal of Experimental Psychology'' [https://www.tandfonline.com/doi/abs/10.1080/14640747308400340 https://www.tandfonline.com/doi/abs/10.1080/14640747308400340]</ref> | |||
<ref name="brady2008visual">Timothy F. Brady, Talia Konkle, George A. Alvarez, and Aude Oliva (2008). Visual long-term memory has a massive storage capacity for object details. [http://olivalab.mit.edu/MM/pdfs/BradyKonkleAlvarezOliva2008.pdf http://olivalab.mit.edu/MM/pdfs/BradyKonkleAlvarezOliva2008.pdf].</ref> | |||
}} | }} | ||