Foreground Segmentation Using a Triplet Convolutional Neural Network for Multiscale Feature Encoding — mentioned by dragontamer

Thu, 13 Sep 2018 20:50:06 GMT

Yeah, humans suck at attention. But until we can program computers to tell me what is a foreground moving object, what is a shadow, and what is the background... you literally can't solve the "Should the car apply the brakes right now" problem. https://arxiv.org/pdf/1801.02225.pdf Just go through this recent paper I found on DDG.gg and see the amount of effort it takes to parse foreground / background data that a self-driving car needs. You gotta figure out if there's a still-object on the road. And whether or not its a shadow (shadows don't move after-all but its safe to drive over). Like…

Paper and discussion history. A mention is not an endorsement.

Foreground Segmentation Using a Triplet Convolutional Neural Network for Multiscale Feature Encoding · HackerPapers discussions

Foreground Segmentation Using a Triplet Convolutional Neural Network for Multiscale Feature Encoding — mentioned by dragontamer