Výsledky vyhledávání - "Morse, Christopher"

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A Generative Approach for Detection-driven Underwater Image Enhancement

Autor: Edge, Chelsey, Islam, Md Jahidul, Morse, Christopher, Sattar, Junaed

In this paper, we introduce a generative model for image enhancement specifically for improving diver detection in the underwater domain. In particular, we present a model that integrates generative adversarial network (GAN)-based image enhancement w

Externí odkaz: http://arxiv.org/abs/2012.05990

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Visual Diver Face Recognition for Underwater Human-Robot Interaction

Autor: Hong, Jungseok, Enan, Sadman Sakib, Morse, Christopher, Sattar, Junaed

This paper presents a deep-learned facial recognition method for underwater robots to identify scuba divers. Specifically, the proposed method is able to recognize divers underwater with faces heavily obscured by scuba masks and breathing apparatus.

Externí odkaz: http://arxiv.org/abs/2011.09556

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Semantic Segmentation of Underwater Imagery: Dataset and Benchmark

Autor: Islam, Md Jahidul, Edge, Chelsey, Xiao, Yuyang, Luo, Peigen, Mehtaz, Muntaqim, Morse, Christopher, Enan, Sadman Sakib, Sattar, Junaed

In this paper, we present the first large-scale dataset for semantic Segmentation of Underwater IMagery (SUIM). It contains over 1500 images with pixel annotations for eight object categories: fish (vertebrates), reefs (invertebrates), aquatic plants

Externí odkaz: http://arxiv.org/abs/2004.01241

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