Projection onto the Manifold of Elongated Structures for Accurate Extraction

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EDTER: Edge Detection with Transformer (2022, methodology): “We compare our model with traditional detectors including Canny [6], Felz-Hutt [18], gPb-owt-ucm [2], SCG [64], Sketch Tokens [34], PMI [25], SE [15], OEF [21] and MES [50], and deep-learning-based detectors including DeepEdge [3], CSCNN [24], DeepCon-tour [48], HFL [4], HED [65], Deep Boundary [29]”
Automatic Road Detection and Centerline Extraction via Cascaded End-to-End Convolutional Neural Network (2017, methodology): “In general, the existing road extraction methods can be roughly classiﬁed into two categories: road detection methods [5], [7]–[9], [32]–[34] and road centerline extraction methods [10], [13], [14], [18], [19], [35]–[39].”
Deep Retinal Image Understanding (2016, background): “Algorithms that are able to enhance ﬁne structures given a regression of retinal vessels have also been developed recently [19,9].”
Deep Crisp Boundaries (2017, unknown): “799 MES[34] .”