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Found 4 papers, 1 papers with code
Physics-Inspired Synthesized Underwater Image Dataset
This paper introduces the physics-inspired synthesized underwater image dataset (PHISWID), a dataset tailored for enhancing underwater image processing through physics-inspired image synthesis.
Lossy Compression of Adjacency Matrices by Graph Filter Banks
In this paper, we propose a lossy compression of weighted adjacency matrices, where the binary adjacency information is encoded losslessly (so the topological information of the graph is preserved) while the edge weights are compressed lossily.
Optimizing $k$ in $k$NN Graphs with Graph Learning Perspective
$k$NN is one of the most popular approaches and is widely used in machine learning and signal processing.
Marine Snow Removal Benchmarking Dataset
This paper introduces a new benchmarking dataset for marine snow removal of underwater images.
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