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Okay, these use cases are very cool, and I suddenly see a lot more relevance. Thanks very much for the enlightenment; I reread the article with newfound interes

Okay, these use cases are very cool, and I suddenly see a lot more relevance. Thanks very much for the enlightenment; I reread the article with newfound interest, while I sadly ruminated how sad it was that so many new areas of research are announced without any way for me to play with them too. "Where's the source code?" I thought... as my eyes fell upon the last words of the article, > “We also open source all the code and models. Activity understanding is an exciting area of artificial intelligence right now.” Oh. A couple of clicks later, in rapid sequence: 1. Name of author: https://www.google.com/search?q=Bolei+Zhou https://www.google.com/search?q=Bolei+Zhou 2. Their MIT page: http://people.csail.mit.edu/bzhou/ http://people.csail.mit.edu/bzhou/ 3. Linked GitHub account: https://github.com/metalbubble?tab=repositories https://github.com/metalbubble?tab=repositories 4. This looks like It™!: https://github.com/metalbubble/TRN-pytorch https://github.com/metalbubble/TRN-pytorch (BSD 2-clause license) (NB. Someone needs to clue in MIT's media department about the existence of the wonderful HTML anchor tag.)

knicholes 8y ago
Just had some more ideas-- Video categorization. A less-than-upstanding example could be knowing when certain actions are being performed in porn videos by auto-tagging portions of the video. Maybe something less nefarious could be for education, where you pull in automatically for a compilation a bunch of videos of, say, beetles flying-- Could be useful for art, as well. I've seen a recent project that creates an intermediate stick figure for "DeepFake" image generation from one video to another. I think the paper was called "Everybody Dance Now". Maybe for stores to know when someone might be shoplifting. I think my point is that if you could label activities in video, you could collect datasets more quickly for training other networks as well.

knicholes 8y ago

Just had some more ideas-- Video categorization. A less-than-upstanding example could be knowing when certain actions are being performed in porn videos by auto-tagging portions of the video. Maybe something less nefarious could be for education, where you pull in automatically for a compilation a bunch of videos of, say, beetles flying-- Could be useful for art, as well. I've seen a recent project that creates an intermediate stick figure for "DeepFake" image generation from one video to another. I think the paper was called "Everybody Dance Now". Maybe for stores to know when someone might be shoplifting. I think my point is that if you could label activities in video, you could collect datasets more quickly for training other networks as well.