| Deep Learning on Small Datasets without Pre-Training using Cosine Loss B Barz, J Denzler The IEEE Winter Conference on Applications of Computer Vision, 1371-1380, 2020 | 166 | 2020 |
| Hierarchy-based image embeddings for semantic image retrieval B Barz, J Denzler 2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 638-647, 2019 | 100 | 2019 |
| Detecting regions of maximal divergence for spatio-temporal anomaly detection B Barz, E Rodner, YG Garcia, J Denzler IEEE transactions on pattern analysis and machine intelligence 41 (5), 1088-1101, 2018 | 90 | 2018 |
| Do we train on test data? Purging CIFAR of near-duplicates B Barz, J Denzler Journal of Imaging 6 (6), 41, 2020 | 79 | 2020 |
| Towards Automatic Identification of Elephants in the Wild M Körschens, B Barz, J Denzler | 50 | 2018 |
| Active Learning for Regression Tasks with Expected Model Output Changes C Käding, E Rodner, A Freytag, O Mothes, B Barz, J Denzler BMVC, 2018 | 37 | 2018 |
| Enhancing Flood Impact Analysis using Interactive Retrieval of Social Media Images B Barz, K Schröter, M Münch, B Yang, A Unger, D Dransch, J Denzler Archives of Data Science. Series A 5 (1), 2018 | 31 | 2018 |
| Content-based Image Retrieval and the Semantic Gap in the Deep Learning Era B Barz, J Denzler International Conference on Pattern Recognition, 245-260, 2021 | 24 | 2021 |
| Tune It or Don’t Use It: Benchmarking Data-Efficient Image Classification L Brigato, B Barz, L Iocchi, J Denzler 2nd Visual Inductive Priors for Data-Efficient Deep Learning Workshop, 2021 | 18 | 2021 |
| Image classification with small datasets: overview and benchmark L Brigato, B Barz, L Iocchi, J Denzler IEEE Access 10, 49233-49250, 2022 | 15 | 2022 |
| Maximally divergent intervals for extreme weather event detection B Barz, YG Garcia, E Rodner, J Denzler OCEANS 2017-Aberdeen, 1-9, 2017 | 15 | 2017 |
| Information-theoretic active learning for content-based image retrieval B Barz, C Käding, J Denzler German Conference on Pattern Recognition, 650-666, 2018 | 13 | 2018 |
| Maximally divergent intervals for anomaly detection E Rodner, B Barz, Y Guanche, M Flach, MD Mahecha, P Bodesheim, ... ICML 2016 Anomaly Detection Workshop, 2016 | 11 | 2016 |
| Finding Relevant Flood Images on Twitter Using Content-Based Filters B Barz, K Schröter, AC Kra, J Denzler International Conference on Pattern Recognition, 5-14, 2021 | 7 | 2021 |
| Deep Learning is not a Matter of Depth but of Good Training B Barz, J Denzler International Conference on Pattern Recognition and Artificial Intelligence …, 2018 | 7 | 2018 |
| Data-Driven Detection of General Chiasmi Using Lexical and Semantic Features F Schneider, B Barz, P Brandes, S Marshall, J Denzler Proceedings of the 5th Joint SIGHUM Workshop on Computational Linguistics …, 2021 | 6 | 2021 |
| WikiChurches: A Fine-Grained Dataset of Architectural Styles with Real-World Challenges B Barz, J Denzler arXiv preprint arXiv:2108.06959, 2021 | 5 | 2021 |
| Making Every Label Count: Handling Semantic Imprecision by Integrating Domain Knowledge CA Brust, B Barz, J Denzler 2020 25th International Conference on Pattern Recognition (ICPR), 6866-6873, 2021 | 5 | 2021 |
| Fast Learning and Prediction for Object Detection using Whitened CNN Features B Barz, E Rodner, C Käding, J Denzler arXiv preprint arXiv:1704.02930, 2017 | 4 | 2017 |
| Anomaly Attribution of Multivariate Time Series using Counterfactual Reasoning VT Trifunov, M Shadaydeh, B Barz, J Denzler 2021 20th IEEE International Conference on Machine Learning and Applications …, 2021 | 3 | 2021 |
Joachim DenzlerProfessor für Informatik, Friedrich-Schiller University JenaDirección de correo verificada de uni-jena.de
