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Maya Codical Glyph Segmentation: A Crowdsourcing Approach.

, , and . IEEE Trans. Multim., 20 (3): 711-725 (2018)

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Contextual object recoğnition with conditional random fields., , and . SIU, page 1-4. IEEE, (2013)Semantic segmentation on Swiss3DCities: A benchmark study on aerial photogrammetric 3D pointcloud dataset., , , , and . Pattern Recognit. Lett., (2021)How to Tell Ancient Signs Apart? Recognizing and Visualizing Maya Glyphs with CNNs., , and . ACM Journal on Computing and Cultural Heritage, 11 (4): 20:1-20:25 (2018)Conditional Random Fields for Land Use/Land Cover Classification and Complex Region Detection., , and . SSPR/SPR, volume 7626 of Lecture Notes in Computer Science, page 216-224. Springer, (2012)Semantic Segmentation on Swiss3DCities: A Benchmark Study on Aerial Photogrammetric 3D Pointcloud Dataset., , , , and . CoRR, (2020)Evaluating Shape Representations for Maya Glyph Classification., , and . ACM Journal on Computing and Cultural Heritage, 9 (3): 14:1-14:26 (2016)Maya Codical Glyph Segmentation: A Crowdsourcing Approach., , and . IEEE Trans. Multim., 20 (3): 711-725 (2018)Ancient Maya Writings as High-Dimensional Data: a Visualization Approach., , , and . DH, page 139-143. Alliance of Digital Humanities Organizations (ADHO), (2016)Is That a Jaguar?: Segmenting Ancient Maya Glyphs via Crowdsourcing., , and . CrowdMM, page 37-40. ACM, (2014)Ambiance in Social Media Venues: Visual Cue Interpretation by Machines and Crowds., , and . CVPR Workshops, page 2363-2372. Computer Vision Foundation / IEEE Computer Society, (2018)