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Semi-Supervised Visual Tracking of Marine Animals using Autonomous Underwater Vehicles
To better evaluate their performance and utility, in this paper we provide (1) a novel dataset specific to marine animals located at http://warp. whoi. edu/vmat/, (2) an evaluation of state-of-the-art semi-supervised algorithms in the context of underwater animal tracking, and (3) an evaluation of real-world performance through demonstrations using a semi-supervised algorithm on-board an autonomous underwater vehicle to track marine animals in the wild.
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