In CACM: Deep learning photo memorability
" ... Researchers at the Massachusetts Institute of Technology's Computer Science and Artificial Intelligence Laboratory (CSAIL) say they have developed an algorithm that can predict how memorable or forgettable a given image is almost as accurately as humans.
The MemNet algorithm builds on previous work by CSAIL researchers to develop a similar algorithm for facial memorability. The researchers fed the algorithm, running on a deep-learning network, tens of thousands of images from several different datasets that had been given a "memorability score" by human subjects. When they pitted MemNet against human subjects by asking both to predict how memorable people would find a never-before-seen image, the algorithm performed 30% better than existing algorithms and within a few percentage points of the average human performance. ... "
Saturday, January 23, 2016
Remembering Photos with Deep Learning
Labels:
AI,
Captioning,
CSAIL,
Deep Learning,
Image recognition,
MIT,
Segmentation
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