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2020 – today
- 2022
[j3]Sergey Nesteruk
, Svetlana Illarionova, Timur Akhtyamov, Dmitrii Shadrin, Andrey Somov, Mariia Pukalchik, Ivan V. Oseledets:
XtremeAugment: Getting More From Your Data Through Combination of Image Collection and Image Augmentation. IEEE Access 10: 24010-24028 (2022)- [j2]Ivan Matvienko, Mikhail Gasanov, Anna Petrovskaia, Maxim A. Kuznetsov, Raghavendra B. Jana, Maria Pukalchik, Ivan V. Oseledets:
Bayesian Aggregation Improves Traditional Single-Image Crop Classification Approaches. Sensors 22(22): 8600 (2022) - 2021
- [j1]Svetlana Illarionova, Sergey Nesteruk, Dmitrii Shadrin, Vladimir Ignatiev, Maria Pukalchik, Ivan V. Oseledets:
MixChannel: Advanced Augmentation for Multispectral Satellite Images. Remote. Sens. 13(11): 2181 (2021) - [c8]Nikita Stasenko, Elizaveta Chernova, Dmitrii Shadrin, Grigory V. Ovchinnikov, Ivan Krivolapov, Mariia Pukalchik:
Deep Learning for improving the storage process: Accurate and automatic segmentation of spoiled areas on apples. I2MTC 2021: 1-6 - [c7]Dmitrii Vypirailenko, Elizaveta Kiseleva, Dmitrii Shadrin, Mariia Pukalchik:
Deep learning techniques for enhancement of weeds growth classification. I2MTC 2021: 1-6 - [c6]Mikhail Gasanov, Daniil Merkulov, Artyom Nikitin, Sergey A. Matveev, Nikita Stasenko, Anna Petrovskaia, Mariia Pukalchik, Ivan V. Oseledets:
A New Multi-objective Approach to Optimize Irrigation Using a Crop Simulation Model and Weather History. ICCS (4) 2021: 75-88 - [c5]Svetlana Illarionova, Sergey Nesteruk, Dmitrii Shadrin, Vladimir Ignatiev, Mariia Pukalchik, Ivan V. Oseledets:
Object-Based Augmentation for Building Semantic Segmentation: Ventura and Santa Rosa Case Study. ICCVW 2021: 1659-1668 - [c4]Nikita Stasenko, Maxim Savinov, Valeriy Burlutskiy, Maria Pukalchik, Andrey Somov:
Deep Learning for Postharvest Decay Prediction in Apples. IECON 2021: 1-6 - [c3]Denis Logashov, Dmitrii Shadrin, Andrey Somov, Mariia Pukalchik, Anastasia Uryasheva, Hari Prabhat Gupta, Nikita Rodichenko:
Apple Trees Diseases Detection Through Computer Vision in Embedded Systems. ISIE 2021: 1-6 - [i4]Sergey Nesteruk, Dmitrii Shadrin, Mariia Pukalchik:
Image Augmentation for Multitask Few-Shot Learning: Agricultural Domain Use-Case. CoRR abs/2102.12295 (2021) - [i3]Svetlana Illarionova, Sergey Nesteruk, Dmitrii Shadrin, Vladimir Ignatiev, Mariia Pukalchik, Ivan V. Oseledets:
Object-Based Augmentation Improves Quality of Remote SensingSemantic Segmentation. CoRR abs/2105.05516 (2021) - 2020
- [c2]Dmitrii Shadrin, Tatiana Podladchikova, Grigory V. Ovchinnikov, Artem L. Pavlov, Mariia Pukalchik, Andrey Somov:
Kalman Filtering for Accurate and Fast Plant Growth Dynamics Assessment. I2MTC 2020: 1-6 - [c1]Mikhail Gasanov, Anna Petrovskaia, Artyom Nikitin, Sergey A. Matveev, Polina Tregubova, Maria Pukalchik, Ivan V. Oseledets:
Sensitivity Analysis of Soil Parameters in Crop Model Supported with High-Throughput Computing. ICCS (7) 2020: 731-741 - [i2]Dmitrii Shadrin, Mariia Pukalchik, Anastasia Uryasheva, Evgeny V. Tsykunov, Grigoriy A. Yashin, Nikita Rodichenko, Dzmitry Tsetserukou:
Hyper-spectral NIR and MIR data and optimal wavebands for detecting of apple tree diseases. CoRR abs/2004.02325 (2020) - [i1]Ivan Matvienko, Mikhail Gasanov, Anna Petrovskaia, Raghavendra Belur Jana, Maria Pukalchik, Ivan V. Oseledets:
Bayesian aggregation improves traditional single image crop classification approaches. CoRR abs/2004.03468 (2020)
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