Fine-grained Recognition

Team

Dimitri Korsch, Paul Bodesheim

Motivation

In this research area, we are developing methods that are able to automatically distinguish between very similar object categories. The algorithms learn from given pictures and their annotations the locations as well as the characteristics of relevant features. Applications for this research include automatic biodiversity monitoring.

Additional datasets can be found here: Link

Videos

Publications

2022
Dimitri Korsch, Paul Bodesheim, Gunnar Brehm, Joachim Denzler:
Automated Visual Monitoring of Nocturnal Insects with Light-based Camera Traps.
CVPR Workshop on Fine-grained Visual Classification (CVPR-WS). 2022.
[bibtex] [pdf] [web] [code] [abstract]
2021
Dimitri Korsch, Paul Bodesheim, Joachim Denzler:
Deep Learning Pipeline for Automated Visual Moth Monitoring: Insect Localization and Species Classification.
INFORMATIK 2021, Computer Science for Biodiversity Workshop (CS4Biodiversity). Pages 443-460. 2021.
[bibtex] [pdf] [web] [doi] [code] [abstract]
Dimitri Korsch, Paul Bodesheim, Joachim Denzler:
End-to-end Learning of Fisher Vector Encodings for Part Features in Fine-grained Recognition.
DAGM German Conference on Pattern Recognition (DAGM-GCPR). Pages 142-158. 2021.
[bibtex] [pdf] [web] [doi] [code] [abstract]
Julia Böhlke, Dimitri Korsch, Paul Bodesheim, Joachim Denzler:
Exploiting Web Images for Moth Species Classification.
Computer Science for Biodiversity Workshop (CS4Biodiversity), INFORMATIK 2021. Pages 481-498. 2021.
[bibtex] [pdf] [web] [doi] [abstract]
Julia Böhlke, Dimitri Korsch, Paul Bodesheim, Joachim Denzler:
Lightweight Filtering of Noisy Web Data: Augmenting Fine-grained Datasets with Selected Internet Images.
International Conference on Computer Vision Theory and Applications (VISAPP). Pages 466-477. 2021.
[bibtex] [pdf] [web] [doi] [abstract]
2019
Dimitri Korsch, Paul Bodesheim, Joachim Denzler:
Classification-Specific Parts for Improving Fine-Grained Visual Categorization.
DAGM German Conference on Pattern Recognition (DAGM-GCPR). Pages 62-75. 2019.
[bibtex] [pdf] [web] [doi] [code] [abstract]
2018
Dimitri Korsch, Joachim Denzler:
In Defense of Active Part Selection for Fine-Grained Classification.
Pattern Recognition and Image Analysis. Advances in Mathematical Theory and Applications (PRIA). 28 (4) : pp. 658-663. 2018.
[bibtex] [pdf] [web] [doi] [abstract]
2017
Brust Clemens-Alexander, Burghardt Tilo, Groenenberg Milou, Käding Christoph, Kühl Hjalmar, Manguette Marie, Denzler Joachim:
Towards Automated Visual Monitoring of Individual Gorillas in the Wild.
ICCV Workshop on Visual Wildlife Monitoring (ICCV-WS). Pages 2820-2830. 2017.
[bibtex] [pdf] [doi] [abstract]
Marcel Simon, Yang Gao, Trevor Darrell, Joachim Denzler, Erik Rodner:
Generalized orderless pooling performs implicit salient matching.
International Conference on Computer Vision (ICCV). Pages 4970-4979. 2017.
[bibtex] [pdf]
2016
Alexander Freytag:
Lifelong Learning for Visual Recognition Systems.
2016. ISBN 9783843929950
[bibtex] [pdf] [web]
Alexander Freytag, Erik Rodner, Marcel Simon, Alexander Loos, Hjalmar Kühl, Joachim Denzler:
Chimpanzee Faces in the Wild: Log-Euclidean CNNs for Predicting Identities and Attributes of Primates.
DAGM German Conference on Pattern Recognition (DAGM-GCPR). Pages 51-63. 2016.
[bibtex] [pdf] [web] [doi] [supplementary] [abstract]
Erik Rodner, Marcel Simon, Bob Fisher, Joachim Denzler:
Fine-grained Recognition in the Noisy Wild: Sensitivity Analysis of Convolutional Neural Networks Approaches.
British Machine Vision Conference (BMVC). 2016.
[bibtex] [pdf] [supplementary]
Jonas Jäger, Erik Rodner, Joachim Denzler, Viviane Wolff, Klaus Fricke-Neuderth:
SeaCLEF 2016: Object Proposal Classification for Fish Detection in Underwater Videos.
Working Notes of CLEF 2016 - Conference and Labs of the Evaluation forum. Pages 481-489. 2016.
[bibtex] [pdf]
2015
Alexander Freytag, Alena Schadt, Joachim Denzler:
Interactive Image Retrieval for Biodiversity Research.
DAGM German Conference on Pattern Recognition (DAGM-GCPR). Pages 129-141. 2015.
[bibtex] [pdf] [abstract]
Erik Rodner, Marcel Simon, Gunnar Brehm, Stephanie Pietsch, J. Wolfgang Wägele, Joachim Denzler:
Fine-grained Recognition Datasets for Biodiversity Analysis.
CVPR Workshop on Fine-grained Visual Classification (CVPR-WS). 2015.
[bibtex] [pdf] [web]
Jonas Jäger, Marcel Simon, Joachim Denzler, Viviane Wolff, Klaus Fricke-Neuderth, Claudia Kruschel:
Croatian Fish Dataset: Fine-grained classification of fish species in their natural habitat.
BMVC Workshop on Machine Vision of Animals and their Behaviour (BMVC-WS). 2015.
[bibtex] [pdf] [web]
Marcel Simon, Erik Rodner:
Neural Activation Constellations: Unsupervised Part Model Discovery with Convolutional Networks.
International Conference on Computer Vision (ICCV). Pages 1143-1151. 2015.
[bibtex] [pdf] [web] [abstract]
Marcel Simon, Erik Rodner, Joachim Denzler:
Fine-grained Classification of Identity Document Types with Only One Example.
Machine Vision Applications (MVA). Pages 126-129. 2015.
[bibtex] [pdf] [web] [abstract]
2014
Alexander Freytag, Erik Rodner, Joachim Denzler:
Birds of a Feather Flock Together - Local Learning of Mid-level Representations for Fine-grained Recognition.
ECCV Workshop on Parts and Attributes (ECCV-WS). 2014.
[bibtex] [pdf] [web] [code] [presentation]
Alexander Freytag, Erik Rodner, Trevor Darrell, Joachim Denzler:
Exemplar-specific Patch Features for Fine-grained Recognition.
DAGM German Conference on Pattern Recognition (DAGM-GCPR). Pages 144-156. 2014.
[bibtex] [pdf] [code] [supplementary] [abstract]
Christoph Göring, Erik Rodner, Alexander Freytag, Joachim Denzler:
Nonparametric Part Transfer for Fine-grained Recognition.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Pages 2489-2496. 2014.
[bibtex] [pdf] [web] [code] [presentation] [abstract]
Marcel Simon, Erik Rodner, Joachim Denzler:
Part Detector Discovery in Deep Convolutional Neural Networks.
Asian Conference on Computer Vision (ACCV). Pages 162-177. 2014.
[bibtex] [pdf] [code] [abstract]
Marcel Simon, Erik Rodner, Joachim Denzler:
Part Localization by Exploiting Deep Convolutional Networks.
ECCV Workshop on Parts and Attributes (ECCV-WS). 2014.
[bibtex] [pdf] [web]
2013
Christoph Göring, Alexander Freytag, Erik Rodner, Joachim Denzler:
Fine-grained Categorization - Short Summary of our Entry for the ImageNet Challenge 2012.
arXiv preprint arXiv:1310.4759. 2013.
[bibtex] [pdf] [web]