Deep Learning and SVM Classification for Plant Recognition in Content-Based Large Scale Image Retrieval. BP Tóth, MJ Tóth, D Papp, G Szücs CLEF (Working Notes), 569-578, 2016 | 27 | 2016 |
Viewpoints combined classification, method in image-based plant identification task G Szűcs, D Papp, D Lovas Working Notes for CLEF 2014 Conference 1180, 763-770, 2014 | 24 | 2014 |
Deep Learning for Plant Classification and Content-Based Image Retrieval BP Gyires-Tóth, M Osváth, D Papp, G Szűcs Cybernetics and Information Technologies 19 (1), 88-100, 2019 | 16 | 2019 |
Object Detection, Classification, Tracking and individual Recognition for Sea Images and Videos. D Papp, D Lovas, G Szücs CLEF (Working Notes), 525-533, 2016 | 9 | 2016 |
SVM classification of moving objects tracked by Kalman filter and Hungarian method G Szűcs, D Papp, D Lovas Working Notes of CLEF 2015 Conference, Toulouse, France, 2015 | 8 | 2015 |
Content-based image retrieval for multiple objects search G Szűcs, D Papp Cybernetics and Information Technologies 17 (2), 106-118, 2017 | 7 | 2017 |
Balanced active learning method for image classification D Papp, G Szűcs Acta Cybernetica 23 (2), 645-658, 2017 | 7 | 2017 |
Image Matching for Individual Recognition with SIFT, RANSAC and MCL. D Papp, F Mogyorósi, G Szücs CLEF (Working Notes), 2017 | 5 | 2017 |
Machine preparation for human labelling of hierarchical train sets by spectral clustering D Papp, G Szűcs, Z Knoll 2019 10th IEEE International Conference on Cognitive Infocommunications …, 2019 | 4 | 2019 |
MMKK++ algorithm for clustering heterogeneous images into an unknown number of clusters D Papp, G Szűcs ELCVIA Electronic Letters on Computer Vision and Image Analysis 16 (3), 30-45, 2018 | 4 | 2018 |
Double probability model for open set problem at image classification D Papp, G Szűcs Informatica 29 (2), 353-369, 2018 | 4 | 2018 |
Extended Margin and Soft Balanced Strategies in Active Learning D Papp, G Szűcs European Conference on Advances in Databases and Information Systems, 69-81, 2018 | 3 | 2018 |
Difference based query strategies in active learning D Papp, G Szűcs, Z Knoll 2019 IEEE 17th International Symposium on Intelligent Systems and …, 2019 | 2 | 2019 |
Graph construction with condition-based weights for spectral clustering of hierarchical datasets D Papp, Z Knoll, G Szűcs INFOCOMMUNICATIONS JOURNAL 12 (2), 34-40, 2020 | | 2020 |
Automated Labeling Process for Unknown Images in an open-world Scenario D Papp, G Szűcs Hungarian Journal of Industry and Chemistry, 33-39, 2019 | | 2019 |