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Found 3 papers, 1 papers with code
A Convolutional Vision Transformer for Semantic Segmentation of Side-Scan Sonar Data
To overcome the lack of CNN-like inductive biases, thereby making ViTs more conducive to applications in low data regimes, we propose a novel feature extraction module to replace the Multi-layer Perceptron (MLP) block within transformer layers and a novel module to extract multiscale patch embeddings.
Hyperspectral 3D Mapping of Underwater Environments
Hyperspectral imaging has been increasingly used for underwater survey applications over the past years.
Automatic Scale Estimation of Structure from Motion based 3D Models using Laser Scalers
This paper addresses the problem of accurately scaling 3D models created from monocular cameras in GPS-denied environments, such as in underwater applications.
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