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A deep level set method for image segmentation
This paper proposes a novel image segmentation approachthat integrates fully convolutional networks (FCNs) with a level setmodel.
Incremental Learning for Robot Perception through HRI
Given this information, the robot visually explores the object and adds images from it to re-train the perception module.
Convolutional Gated Recurrent Networks for Video Segmentation
This architecture is tested for both binary and semantic video segmentation tasks.
Parking Stall Vacancy Indicator System Based on Deep Convolutional Neural Networks
Visual detection methods represent a cost-effective option, since they can take advantage of hardware usually already available in many parking lots, namely cameras.
Recurrent Fully Convolutional Networks for Video Segmentation
Accordingly, we propose a novel method for online segmentation of video sequences that incorporates temporal data.
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