clscy / CNN-detector-evaluation

CNN detector evaluation

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CNN-detector-evaluation

CNN detector evaluation


Single Shot MultiBox Detector (SSD)
Paper: https://arxiv.org/pdf/1512.02325.pdf
https://github.com/balancap/SSD-Tensorflow [Tensorflow]
https://github.com/rykov8/ssd_keras [Keras]

You Only Look Once: Unified, Real-Time Object Detection (YOLO)
Paper:https://pjreddie.com/media/files/papers/yolo.pdf
https://github.com/gliese581gg/YOLO_tensorflow [Tensorflow]
https://github.com/nilboy/tensorflow-yolo [Tensorflow]
https://github.com/hizhangp/yolo_tensorflow [Tensorflow]
https://github.com/thtrieu/darkflow [Tensorflow + ?]

YOLO9000: Better, Faster, Stronger (YOLO9000)
Paper: https://arxiv.org/pdf/1612.08242.pdf
https://github.com/longcw/yolo2-pytorch [PyTorch]

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks (Faster R-CNN)
Paper: https://arxiv.org/pdf/1506.01497v3.pdf
https://github.com/smallcorgi/Faster-RCNN_TF [Tensorflow]
https://github.com/yhenon/keras-frcnn [Keras]

OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks (Overfeat)
Paper: https://arxiv.org/pdf/1312.6229.pdf
https://github.com/TensorBox/TensorBox [Tensorflow]

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CNN detector evaluation