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Hyperspectral Neural Radiance Fields
Hyperspectral Imagery (HSI) has been used in many applications to non-destructively determine the material and/or chemical compositions of samples.
Map-aided annotation for pole base detection
In the absence of height information, the map features are represented as pole bases at the ground level.
SAMCLR: Contrastive pre-training on complex scenes using SAM for view sampling
In Computer Vision, self-supervised contrastive learning enforces similar representations between different views of the same image.
Data refinement for fully unsupervised visual inspection using pre-trained networks
In this work, we first assess the robustness of these pre-trained methods to fully unsupervised context, using polluted training sets (i. e. containing defective samples), and show that these methods are more robust to pollution compared to methods such as CutPaste.
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