Transfer learning RGB models to hyperspectral images with trainable tensor decompositions 事件

Transfer learning RGB models to hyperspectral images with trainable tensor decompositions arXiv:2605.28331v1 Announce Type: new Abstract: Transfer learning makes it possible to use large vision networks on a variety of domains, by specializing their models' general filters to new tasks. However, these networks assume the input images to have 3 input channels, making them incompatible with multi- or hyperspectral images. Current approaches that mitigate this incompatibility sacrifice information