.. image:: pystat.png
    :height: 20
    :alt: Statistique
    :target: http://www.xavierdupre.fr/app/ensae_teaching_cs/helpsphinx/td_2a_notions.html#pour-un-profil-plutot-data-scientist

.. _l-ml2a-object-detection:

Détection d'objets
++++++++++++++++++

(*à venir*)

*Lectures*

* `A Brief History of CNNs in Image Segmentation: From R-CNN to Mask R-CNN <https://blog.athelas.com/a-brief-history-of-cnns-in-image-segmentation-from-r-cnn-to-mask-r-cnn-34ea83205de4>`_
* `YOLO: Real-Time Object Detection <https://pjreddie.com/darknet/yolo/>`_
* `Rich feature hierarchies for accurate object detection and semantic segmentation <https://arxiv.org/abs/1311.2524>`_
* `Fast R-CNN <https://arxiv.org/abs/1504.08083>`_
* `Fast R-CNN: Fast Region-based Convolutional Networks for object detection <https://github.com/rbgirshick/fast-rcnn>`_
* `Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks <https://arxiv.org/abs/1506.01497>`_
* `Mask R-CNN <https://arxiv.org/abs/1703.06870>`_
* `Pascal VOC Dataset <https://github.com/Microsoft/CNTK/tree/master/Examples/Image/DataSets/Pascal>`_
* `End-to-end Object Detection with Transformers
  <https://ai.facebook.com/research/publications/end-to-end-object-detection-with-transformers>`_

*Code*

* `detr <https://github.com/facebookresearch/detr>`_