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Classification-driven Active Contour for Dress Segmentation.

, , , and . VISIGRAPP (4: VISAPP), page 22-29. SciTePress, (2016)

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Hybrid visual and conceptual image representation within active relevance feedback context., , and . Multimedia Information Retrieval, page 209-216. ACM, (2005)Local integrity constraints for structure detection and segmentation in high-resolution earth observation images., and . ICIP, page 373-377. IEEE, (2015)Processing of Extremely High-Resolution LiDAR and RGB Data: Outcome of the 2015 IEEE GRSS Data Fusion Contest-Part A: 2-D Contest., , , , , , , , , and 5 other author(s). IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 9 (12): 5547-5559 (2016)Deep Online Storage-Free Learning on Unordered Image Streams., , , and . DMLE/IOTSTREAMING@PKDD/ECML, volume 967 of Communications in Computer and Information Science, page 103-112. Springer, (2018)Deep learning for urban remote sensing., , , , , , and . JURSE, page 1-4. IEEE, (2017)Why is the prediction wrong? Towards underfitting case explanation via meta-classification., , , and . CoRR, (2023)Pattern Retrieval in Large Image Databases Using Multiscale Coarse-to-Fine Cascaded Active Learning., , , and . IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 7 (4): 1127-1141 (2014)TELECOM ParisTech at ImageClef 2009: Large Scale Visual Concept Detection and Annotation Task., and . CLEF (Working Notes), volume 1175 of CEUR Workshop Proceedings, CEUR-WS.org, (2009)Interactive Search for Image Categories by Mental Matching., and . ICCV, page 1-8. IEEE Computer Society, (2007)Benchmarking classification of earth-observation data: From learning explicit features to convolutional networks., , , , , , , and . IGARSS, page 4173-4176. IEEE, (2015)