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2020 – today
- 2024
[i23]Morris Florek, David Tschirschwitz, Björn Barz, Volker Rodehorst:
Efficient and Discriminative Image Feature Extraction for Universal Image Retrieval. CoRR abs/2409.13513 (2024)- 2023
- [i22]Mayar Lotfy, Anna Alperovich, Tommaso Giannantonio, Björn Barz, Xiaohan Zhang, Felix Holm, Nassir Navab, Felix Boehm, Carolin Schwamborn, Thomas K. Hoffmann, Patrick J. Schuler:
Robust Tumor Segmentation with Hyperspectral Imaging and Graph Neural Networks. CoRR abs/2311.11782 (2023) - 2022
- [j3]Lorenzo Brigato
, Björn Barz, Luca Iocchi, Joachim Denzler:
Image Classification With Small Datasets: Overview and Benchmark. IEEE Access 10: 49233-49250 (2022) - [c16]Clemens-Alexander Brust, Björn Barz, Joachim Denzler:
Self-supervised Learning from Semantically Imprecise Data. VISIGRAPP (5: VISAPP) 2022: 27-35 - [c15]Björn Barz, Joachim Denzler:
Weakly-supervised Localization of Multiple Objects in Images using Cosine Loss. VISIGRAPP (5: VISAPP) 2022: 287-296 - [i21]Lorenzo Brigato, Björn Barz, Luca Iocchi, Joachim Denzler:
Image Classification with Small Datasets: Overview and Benchmark. CoRR abs/2212.12478 (2022) - 2021
- [c14]Clemens-Alexander Brust, Björn Barz, Joachim Denzler:
Carpe Diem: A Lifelong Learning Tool for Automated Wildlife Surveillance. GI-Jahrestagung 2021: 417-423 - [c13]Lorenzo Brigato, Björn Barz, Luca Iocchi, Joachim Denzler:
Tune It or Don't Use It: Benchmarking Data-Efficient Image Classification. ICCVW 2021: 1071-1080 - [c12]Violeta Teodora Trifunov, Maha Shadaydeh, Björn Barz, Joachim Denzler:
Anomaly Attribution of Multivariate Time Series using Counterfactual Reasoning. ICMLA 2021: 166-172 - [c11]Felix Schneider, Björn Barz, Joachim Denzler:
Detecting Scenes in Fiction Using the Embedding Delta Signal. STSS@KONVENS 2021: 22-28 - [c10]Björn Barz, Joachim Denzler:
WikiChurches: A Fine-Grained Dataset of Architectural Styles with Real-World Challenges. NeurIPS Datasets and Benchmarks 2021 - [d1]Björn Barz, Joachim Denzler:
WikiChurches - A Fine-Grained Dataset of Architectural Styles with Real-World Challenges. Zenodo, 2021
- [i20]Clemens-Alexander Brust, Björn Barz, Joachim Denzler:
Self-Supervised Learning from Semantically Imprecise Data. CoRR abs/2104.10901 (2021) - [i19]Björn Barz, Joachim Denzler:
WikiChurches: A Fine-Grained Dataset of Architectural Styles with Real-World Challenges. CoRR abs/2108.06959 (2021) - [i18]Lorenzo Brigato, Björn Barz, Luca Iocchi, Joachim Denzler:
Tune It or Don't Use It: Benchmarking Data-Efficient Image Classification. CoRR abs/2108.13122 (2021) - [i17]Violeta Teodora Trifunov, Maha Shadaydeh, Björn Barz, Joachim Denzler:
Anomaly Attribution of Multivariate Time Series using Counterfactual Reasoning. CoRR abs/2109.06562 (2021) - [i16]Björn Barz, Lorenzo Brigato, Luca Iocchi, Joachim Denzler:
A Strong Baseline for the VIPriors Data-Efficient Image Classification Challenge. CoRR abs/2109.13561 (2021) - [i15]Bernd Gruner, Matthias Körschens, Björn Barz, Joachim Denzler:
Domain Adaptation and Active Learning for Fine-Grained Recognition in the Field of Biodiversity. CoRR abs/2110.11778 (2021) - 2020
- [b1]Björn Barz:
Semantic and interactive content-based image retrieval. University of Jena, Germany, Cuvillier Verlag 2020, ISBN 978-3-7369-7346-6, pp. 1-306 - [j2]Björn Barz, Joachim Denzler:
Do We Train on Test Data? Purging CIFAR of Near-Duplicates. J. Imaging 6(6): 41 (2020) - [c9]Björn Barz, Kai Schröter, Ann-Christin Kra, Joachim Denzler:
Finding Relevant Flood Images on Twitter Using Content-Based Filters. ICPR Workshops (6) 2020: 5-14 - [c8]Björn Barz, Joachim Denzler:
Content-Based Image Retrieval and the Semantic Gap in the Deep Learning Era. ICPR Workshops (2) 2020: 245-260 - [c7]Clemens-Alexander Brust, Björn Barz, Joachim Denzler:
Making Every Label Count: Handling Semantic Imprecision by Integrating Domain Knowledge. ICPR 2020: 6866-6873 - [c6]Björn Barz, Joachim Denzler:
Deep Learning on Small Datasets without Pre-Training using Cosine Loss. WACV 2020: 1360-1369 - [p1]Björn Barz:
Semantische und Interaktive Inhaltsbasierte Bildersuche. Ausgezeichnete Informatikdissertationen 2020: 19-28 - [i14]Clemens-Alexander Brust, Björn Barz, Joachim Denzler:
Making Every Label Count: Handling Semantic Imprecision by Integrating Domain Knowledge. CoRR abs/2010.06469 (2020) - [i13]Björn Barz, Kai Schröter, Ann-Christin Kra, Joachim Denzler:
Finding Relevant Flood Images on Twitter using Content-based Filters. CoRR abs/2011.05756 (2020) - [i12]Björn Barz, Joachim Denzler:
Content-based Image Retrieval and the Semantic Gap in the Deep Learning Era. CoRR abs/2011.06490 (2020)
2010 – 2019
- 2019
- [j1]Björn Barz, Erik Rodner, Yanira Guanche Garcia, Joachim Denzler:
Detecting Regions of Maximal Divergence for Spatio-Temporal Anomaly Detection. IEEE Trans. Pattern Anal. Mach. Intell. 41(5): 1088-1101 (2019) - [c5]Björn Barz, Joachim Denzler:
Hierarchy-Based Image Embeddings for Semantic Image Retrieval. WACV 2019: 638-647 - [i11]Björn Barz, Joachim Denzler:
Deep Learning on Small Datasets without Pre-Training using Cosine Loss. CoRR abs/1901.09054 (2019) - [i10]Björn Barz, Joachim Denzler:
Do we train on test data? Purging CIFAR of near-duplicates. CoRR abs/1902.00423 (2019) - [i9]Björn Barz, Kai Schröter, Moritz Münch, Bin Yang, Andrea Unger, Doris Dransch, Joachim Denzler:
Enhancing Flood Impact Analysis using Interactive Retrieval of Social Media Images. CoRR abs/1908.03361 (2019) - 2018
- [c4]Christoph Käding, Erik Rodner, Alexander Freytag, Oliver Mothes, Björn Barz, Joachim Denzler:
Active Learning for Regression Tasks with Expected Model Output Changes. BMVC 2018: 103 - [c3]Björn Barz, Christoph Käding, Joachim Denzler:
Information-Theoretic Active Learning for Content-Based Image Retrieval. GCPR 2018: 650-666 - [c2]Björn Barz, Thomas C. van Dijk, Bert Spaan, Joachim Denzler:
Putting User Reputation on the Map: Unsupervised Quality Control for Crowdsourced Historical Data. GeoHumanities@SIGSPATIAL 2018: 3:1-3:6 - [c1]Björn Barz, Joachim Denzler:
Automatic Query Image Disambiguation for Content-based Image Retrieval. VISIGRAPP (5: VISAPP) 2018: 249-256 - [i8]Björn Barz, Erik Rodner, Yanira Guanche Garcia, Joachim Denzler:
Detecting Regions of Maximal Divergence for Spatio-Temporal Anomaly Detection. CoRR abs/1804.07091 (2018) - [i7]Björn Barz, Christoph Käding, Joachim Denzler:
Information-Theoretic Active Learning for Content-Based Image Retrieval. CoRR abs/1809.02337 (2018) - [i6]Björn Barz, Joachim Denzler:
Hierarchy-based Image Embeddings for Semantic Image Retrieval. CoRR abs/1809.09924 (2018) - [i5]Matthias Körschens, Björn Barz, Joachim Denzler:
Towards Automatic Identification of Elephants in the Wild. CoRR abs/1812.04418 (2018) - 2017
- [i4]Björn Barz, Erik Rodner, Christoph Käding, Joachim Denzler:
Fast Learning and Prediction for Object Detection using Whitened CNN Features. CoRR abs/1704.02930 (2017) - [i3]Björn Barz, Joachim Denzler:
Automatic Query Image Disambiguation for Content-Based Image Retrieval. CoRR abs/1711.00953 (2017) - 2016
- [i2]Erik Rodner, Björn Barz, Yanira Guanche, Milan Flach, Miguel D. Mahecha, Paul Bodesheim, Markus Reichstein, Joachim Denzler:
Maximally Divergent Intervals for Anomaly Detection. CoRR abs/1610.06761 (2016) - 2014
- [i1]Björn Barz, Erik Rodner, Joachim Denzler:
ARTOS - Adaptive Real-Time Object Detection System. CoRR abs/1407.2721 (2014)
Coauthor Index
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last updated on 2024-10-16 21:24 CEST by the dblp team
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