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  1. ImageNet pre-trained models with batch normalization for the Caffe framework

    Python 357 167

  2. Code for the ICCV 2015 paper "Neural Activation Constellations: Unsupervised Part Model Discovery with Convolutional Networks."

    MATLAB 45 22

  3. Code for our paper "Generalized Orderless Pooling Performs Implicit Salient Matching" published at ICCV 2017.

    Jupyter Notebook 50 5

  4. Code of the paper "Part Detector Discovery in Deep Convolutional Neural Networks" by Marcel Simon, Erik Rodner and Joachim Denzler

    Python 17 10

  5. Migrate repositories from Gitlab to Gogs or Gitea

    Python 47 24

  6. Modified version of the caffe CNN framework (https://github.com/BVLC/caffe).

    C++ 8 3

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May 2022

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