Deep Learning in Depth: IARPA's Functional Map of the World Challenge
Software Engineering Institute (SEI) Podcast Series
English - October 12, 2018 16:00 - 12 minutes - 23.8 MB - ★★★★★ - 18 ratingsTechnology Science futuretech softwareengineering cybersecurity Homepage Download Apple Podcasts Google Podcasts Overcast Castro Pocket Casts RSS feed
Ritwik Gupta and Carson Sestili describe their use of deep learning in IARPA’s Functional Map of the World Challenge.
“The idea is how can you take these very minute differences, not only in scale, but also in landscape, the buildings on there, etc., and identify different land functions. This makes it very different from just a traditional image classification problem because you have to take in not only the object of interest, which is like let’s say a building, but also its entire surroundings.”
Ritwik Gupta and Carson Sestili describe their use of deep learning in IARPA’s Functional Map of the World Challenge.
“The idea is how can you take these very minute differences, not only in scale, but also in landscape, the buildings on there, etc., and identify different land functions. This makes it very different from just a traditional image classification problem because you have to take in not only the object of interest, which is like let’s say a building, but also its entire surroundings.”