WE4.R1: Learning and Domain Adaptation |
Session Type: Oral
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Time: Wednesday, July 25, 16:50 - 18:30
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Location: Room 1D
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Session Chair: Shutao Li, Hunan University
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16:50 - 17:10 |
WE4.R1.1: SEMISUPERVISED ADVERSARIAL DISCRIMINATIVE DOMAIN ADAPTATION, WITH APPLICATION TO REMOTE SENSING DATA
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Rui Wang; Duke University |
Leslie Collins; Duke University |
Kyle Bradbury; Duke University |
Jordan Malof; Duke University |
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17:10 - 17:30 |
WE4.R1.2: BOOSTING FOR DOMAIN ADAPTATION EXTREME LEARNING MACHINES FOR HYPERSPECTRAL IMAGE CLASSIFICATION
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Junshi Xia; The University of Tokyo |
Naoto Yokoya; RIKEN Center for Advanced Intelligence Project |
Akira Iwasaki; The University of Tokyo |
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17:30 - 17:50 |
WE4.R1.3: A NOVEL METHOD BASED ON SOURCE DOMAIN UNDERSTANDING AND MODELING TO TRANSFER LABELS FROM LAND-COVER VECTOR MAPS TO CLASSIFIERS FOR MULTISPECTRAL IMAGES
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Claudia Paris; University of Trento |
Lorenzo Bruzzone; University of Trento |
Diego Fernández-Prieto; European Space Agency |
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17:50 - 18:10 |
WE4.R1.4: DOMAIN ADAPTATION FOR LARGE SCALE CLASSIFICATION OF VERY HIGH RESOLUTION SATELLITE IMAGES WITH DEEP CONVOLUTIONAL NEURAL NETWORKS
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Tristan Postadjian; Univ. Paris Est, LASTIG MATIS, IGN, ENSG |
Arnaud Le Bris; Univ. Paris Est, LASTIG MATIS, IGN, ENSG |
Hichem Sahbi; CNRS, LIP6 UPMC Sorbonne Universités, Paris |
Clément Mallet; Univ. Paris Est, LASTIG MATIS, IGN, ENSG |
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18:10 - 18:30 |
WE4.R1.5: CROSS-DOMAIN CNN FOR HYPERSPECTRAL IMAGE CLASSIFICATION
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Hyungtae Lee; Booz Allen Hamilton Inc. |
Sungmin Eum; Booz Allen Hamilton Inc. |
Heesung Kwon; US Army Research Laboratory |
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