ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Download
Publications Copernicus
Download
Citation
Articles | Volume X-1/W1-2023
https://doi.org/10.5194/isprs-annals-X-1-W1-2023-175-2023
https://doi.org/10.5194/isprs-annals-X-1-W1-2023-175-2023
05 Dec 2023
 | 05 Dec 2023

ADDRESSING CLASS IMBALANCE FOR TRAINING A MULTI-TASK CLASSIFIER IN THE CONTEXT OF SILK HERITAGE

M. Dorozynski

Related authors

DEEP LEARNING-BASED TRACKING OF MULTIPLE OBJECTS IN THE CONTEXT OF FARM ANIMAL ETHOLOGY
R. Ali, M. Dorozynski, J. Stracke, and M. Mehltretter
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2022, 509–516, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-509-2022,https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-509-2022, 2022
ADDRESSING CLASS IMBALANCE IN MULTI-CLASS IMAGE CLASSIFICATION BY MEANS OF AUXILIARY FEATURE SPACE RESTRICTIONS
M. Dorozynski and F. Rottensteiner
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2022, 777–785, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-777-2022,https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-777-2022, 2022
ASSESSING THE SEMANTIC SIMILARITY OF IMAGES OF SILK FABRICS USING CONVOLUTIONAL NEURAL NETWORKS
D. Clermont, M. Dorozynski, D. Wittich, and F. Rottensteiner
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2020, 641–648, https://doi.org/10.5194/isprs-annals-V-2-2020-641-2020,https://doi.org/10.5194/isprs-annals-V-2-2020-641-2020, 2020
MULTI-TASK DEEP LEARNING WITH INCOMPLETE TRAINING SAMPLES FOR THE IMAGE-BASED PREDICTION OF VARIABLES DESCRIBING SILK FABRICS
M. Dorozynski, D. Clermont, and F. Rottensteiner
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W6, 47–54, https://doi.org/10.5194/isprs-annals-IV-2-W6-47-2019,https://doi.org/10.5194/isprs-annals-IV-2-W6-47-2019, 2019