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Fine-grained Recognition

What makes this object class different from pretty similar ones?

Marcel Simon, Alexander Freytag, Erik Rodner, and Joachim Denzler


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.


Chimpanzee Identification

  Freytag16:CFW

[Freytag16:CFW]

Alexander Freytag and Erik Rodner and Marcel Simon and Alexander Loos and Hjalmar Kühl and Joachim Denzler. Chimpanzee Faces in the Wild: Log-Euclidean CNNs for Predicting Identities and Attributes of Primates. German Conference on Pattern Recognition (GCPR). 2016. [pdf][bib][dataset]

Neural Activation Constellations

  Simon15.NAC.pdf.teaser.png

[Simon15:NAC]

Marcel Simon and Erik Rodner. Neural Activation Constellations: Unsupervised Part Model Discovery with Convolutional Networks. International Conference on Computer Vision (ICCV). 2015. [pdf][bib][code][slides]

Learning of Mid-Level Representations


  Exemplar-specific Patch Features for Fine-grained Recognition

[Freytag14:ESP]

Alexander Freytag and Erik Rodner and Trevor Darrell and Joachim Denzler. Exemplar-specific Patch Features for Fine-grained Recognition. German Conference on Pattern Recognition (GCPR). 2014.144--156. (Oral). [pdf] [bib][code]

[Freytag14:BFF]

Alexander Freytag and Erik Rodner and Joachim Denzler. Birds of a Feather Flock Together - Local Learning of Mid-level Representations for Fine-grained Recognition. ECCV Workshop on Parts and Attributes. 2014. [pdf] [bib][code]

Nonparametric Transfer of Part Annotations


  PartTransferForFineGrainedRecognition

[Goering14:NPT]

Christoph Göring and Erik Rodner and Alexander Freytag and Joachim Denzler. Nonparametric Part Transfer for Fine-grained Recognition. IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2014. [pdf] [bib][code]
 

A simple yet powerful system for fine-grained recognition


  PipelineOfFGSystem

[Goering13:FGC]

Christoph Göring and Alexander Freytag and Erik Rodner and Joachim Denzler. Fine-grained Categorization - Short Summary of our Entry for the ImageNet Challenge 2012. arXiv preprint arXiv:1310.4759. 2013. [pdf] [bib]

Datasets

All Publications

[Freytag14:ESP]

Alexander Freytag and Erik Rodner and Trevor Darrell and Joachim Denzler. Exemplar-specific Patch Features for Fine-grained Recognition. German Conference on Pattern Recognition (GCPR). 2014.144--156. (Oral). [pdf] [bib][code]

[Freytag14:BFF]

Alexander Freytag and Erik Rodner and Joachim Denzler. Birds of a Feather Flock Together - Local Learning of Mid-level Representations for Fine-grained Recognition. ECCV Workshop on Parts and Attributes. 2014. [pdf] [bib][code]

[Goering14:NPT]

Christoph Göring and Erik Rodner and Alexander Freytag and Joachim Denzler. Nonparametric Part Transfer for Fine-grained Recognition. IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2014. [pdf] [bib][code]

[Goering13:FGC]

Christoph Göring and Alexander Freytag and Erik Rodner and Joachim Denzler. Fine-grained Categorization - Short Summary of our Entry for the ImageNet Challenge 2012. arXiv preprint arXiv:1310.4759. 2013. [pdf] [bib]