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Sensor Adaptation for Improved Semantic Segmentation of Overhead Imagery.

, , and . WACV, page 648-656. IEEE, (2019)

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Development of a mobile user interface for image-based dietary assessment., , , , , , and . MUM, page 13. ACM, (2010)Improved Image Segmentation via Cost Minimization of Multiple Hypotheses., , , , , and . CoRR, (2018)Multiple Hypotheses Image Segmentation and Classification With Application to Dietary Assessment., , , , and . IEEE J. Biomed. Health Informatics, 19 (1): 377-388 (2015)A Mobile Food Record For Integrated Dietary Assessment., , , , , , and . MADiMa @ ACM Multimedia, page 53-62. ACM, (2016)A multiple view stereo benchmark for satellite imagery., , , and . AIPR, page 1-9. IEEE Computer Society, (2016)Food texture descriptors based on fractal and local gradient information., , , , and . EUSIPCO, page 764-768. IEEE, (2011)Assessment of Performance of Tree-Based Algorithms to Reduce Errors of Omisssion and Commission in Change Detection., , , , , , and . IGARSS, page 6676-6679. IEEE, (2023)Segmentation-Based Video Compression Using Texture and Motion Models., , and . IEEE J. Sel. Top. Signal Process., 5 (7): 1366-1377 (2011)Super-Resolution for Overhead Imagery Using DenseNets and Adversarial Learning., , and . CoRR, (2017)A two-stage video object segmentation using motion and color information., , and . ICIP, page 3916-3920. IEEE, (2015)