@@ -25,6 +25,7 @@ Note: the project aims at imitating the well-implemented algorithms in [Deep Lea
2525### Object detection
2626- YOLOv1 [[ self] ( https://github.com/xiaohu2015/DeepLearning_tutorials/blob/master/ObjectDetections/yolo/yolo_tf.py ) [ paper] ( https://arxiv.org/abs/1506.02640 ) [ ref] ( https://github.com/gliese581gg/YOLO_tensorflow )]
2727- SSD [[ self] ( https://github.com/xiaohu2015/DeepLearning_tutorials/blob/master/ObjectDetections/SSD/SSD_demo.py ) [ paper] ( https://arxiv.org/pdf/1611.10012.pdf ) [ slides] ( http://www.cs.unc.edu/~wliu/papers/ssd_eccv2016_slide.pdf ) [ cafe] ( https://github.com/weiliu89/caffe/tree/ssd ) [ TF] ( https://arxiv.org/abs/1512.02325 ) [ pytorch] ( https://github.com/amdegroot/ssd.pytorch ) ]
28+ - YOLOv2 [[ self] ( https://github.com/xiaohu2015/DeepLearning_tutorials/tree/master/ObjectDetections/yolo2 ) [ paper] ( https://arxiv.org/abs/1612.08242 ) [ ref] ( https://github.com/yhcc/yolo2 )]
2829
2930### Practical examples
3031You can find more practical examples with tensorflow here:
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