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The full article, “ Unsupervised Image-to-Image Translation Networks,” describes how this was achieved, primarily through a practice called unsupervised learning.
A research team has introduced DepthCropSeg, a powerful, depth-informed crop segmentation approach that achieves near-supervised performance without the need for pixel-level manual annotations.