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Found 5 papers, 2 papers with code
Visual Detection of Diver Attentiveness for Underwater Human-Robot Interaction
Many underwater tasks, such as cable-and-wreckage inspection, search-and-rescue, benefit from robust human-robot interaction (HRI) capabilities.
Robotic Detection of a Human-Comprehensible Gestural Language for Underwater Multi-Human-Robot Collaboration
Our experimental evaluations, both in simulation and in closed-water robot trials, demonstrate that the proposed RRCommNet architecture is able to decipher gesture-based messages with an average accuracy of 88-94% on simulated data, 73-83% on real data (depending on the version of the model used).
Visual Diver Face Recognition for Underwater Human-Robot Interaction
Specifically, the proposed method is able to recognize divers underwater with faces heavily obscured by scuba masks and breathing apparatus.
Semantic Segmentation of Underwater Imagery: Dataset and Benchmark
We also present a benchmark evaluation of state-of-the-art semantic segmentation approaches based on standard performance metrics.
Underwater Image Super-Resolution using Deep Residual Multipliers
We present a deep residual network-based generative model for single image super-resolution (SISR) of underwater imagery for use by autonomous underwater robots.
Ranked #1 on
Image Super-Resolution
on USR-248 - 4x upscaling
