(r3) CoE < Main

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---+ Centre of Excellence in Machine Learning

---++ Project 1: Car model analysis with artificial neural networks

---+++ Objectives
   * Explore possible neural architectures to handle the problem of car model identification using grained features.
   * Reproduce the results reported in the paper linked [[https://arxiv.org/abs/1506.08959][here]].

---+++ Practical applications
   * Paying tolls.
   * Video surveillance and car verification.
   * Smart cities.
   * Mobile applications to instantly show car information.
   * Predicting popularity of vehicles.

---+++ Datasets
   * [[http://mmlab.ie.cuhk.edu.hk/datasets/comp_cars/index.html][The Comprehensive Cars (CompCars) dataset]]
   * [[http://ai.stanford.edu/~jkrause/cars/car_dataset.html][Stanford dataset]]
       
---+++ Tools/Frameworks
   * [[https://gist.github.com/bogger/b90eb88e31cd745525ae][Caffe]].
   * [[https://keras.io][Keras]] with [[https://www.tensorflow.org][TensorFlow]] backend.

---+++ Expected Results
   * Deliver a trained neural network for car model identification
   * Outperform accuracy scores reported by the _chinese paper_.
   
---+++ Checklist
   * icon:led-green Request [[http://mmlab.ie.cuhk.edu.hk/datasets/comp_cars/index.html][CompCars]] database.
   * icon:led-red Define development machine and database storage.
   * icon:led-red Explore the data and gain insights.
   * icon:led-red Evaluate and define preprocessing steps.
   * icon:led-red Implementation of the neural network (NN) models.
      * icon:led-red [[https://arxiv.org/abs/1409.4842][Deep convolutional neural network: Inception]].
      * icon:led-red [[https://link.springer.com/content/pdf/bfm%3A978-3-540-28293-8%2F1.pdf][Pulsed-coupled NN]].
   * icon:led-red Presentation of results in any relevant conference (to define...)


---+++ References
   * [[https://arxiv.org/abs/1702.01721][View Independent Vehicle Make, Model and Color Recognition Using Convolutional Neural Network]].
   * [[https://www.ke.tu-darmstadt.de/bibtex/attachments/single/386][Using Convolutional Neural Networks to distinguish vehicle pose and vehicle class]].
   * [[https://arxiv.org/abs/1506.08959][A Large-Scale Car Dataset for Fine-Grained Categorization and Verification]].
   * [[http://www.nlpr.ia.ac.cn/2012papers/gjkw/gk14.pdf][Three-Dimensional Deformable-Model-Based Localization and Recognition of Road Vehicles]].

---++ Comments

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Topic revision: r3 - 2017-07-17 - jruizvar
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