SSD: Single Shot MultiBox Detector

A real-time algorithm for signal analysis with the help of the wavelet transform

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A discriminatively trained, multiscale, deformable part model

Felzenszwalb, P., McAllester, D., Ramanan, D.: · 2008

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Understanding the difficulty of training deep feedforward neural networks

Glorot, X., Bengio, Y.: · 2010

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Diagnosing error in object detectors

Hoiem, D., Chodpathumwan, Y., Dai, Q.: · 2012

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Selective search for object recognition

Uijlings, J.R., van de Sande, K.E., Gevers, T., Smeulders, A.W.: · 2013

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Some improvements on deep convolutional neural network based image classification

Original

Howard, A.G.: · 2013

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Overfeat: Integrated recognition, localization and detection using convolutional networks

Sermanet, P., Eigen, D., Zhang, X., Mathieu, M., Fergus, R., LeCun, Y.: · 2014

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Scalable object detection using deep neural networks

Erhan, D., Szegedy, C., Toshev, A., Anguelov, D.: · 2014

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Spatial pyramid pooling in deep convolutional networks for visual recognition

He, K., Zhang, X., Ren, S., Sun, J.: · 2014

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Caffe: Convolutional architecture for fast feature embedding

Jia, Y., Shelhamer, E., Donahue, J., Karayev, S., Long, J., Girshick, R., Guadarrama, S., Darrell, T.: · 2014

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Rich feature hierarchies for accurate object detection and semantic segmentation

Girshick, R., Donahue, J., Darrell, T., Malik, J.: · 2014

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Faster R-CNN: Towards real-time object detection with region proposal networks

Ren, S., He, K., Girshick, R., Sun, J.: · 2015

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Fast R-CNN

Girshick, R.: · 2015

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Scalable, high-quality object detection

Original

Szegedy, C., Reed, S., Erhan, D., Anguelov, D.: · 2015

Cited alongside, same era.

Fully convolutional networks for semantic segmentation

Long, J., Shelhamer, E., Darrell, T.: · 2015

Imagenet large scale visual recognition challenge

Russakovsky, O., Deng, J., Su, H., Krause, J., Satheesh, S., Ma, S., Huang, Z., Karpathy, A., Khosla, A., Bernstein, M., Berg, A.C., Fei-Fei, L.: · 2015

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Semantic image segmentation with deep convolutional nets and fully connected crfs

Chen, L.C., Papandreou, G., Kokkinos, I., Murphy, K., Yuille, A.L.: · 2015

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Deep residual learning for image recognition

He, K., Zhang, X., Ren, S., Sun, J.: · 2016

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You only look once: Unified, real-time object detection

Redmon, J., Divvala, S., Girshick, R., Farhadi, A.: · 2016

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ParseNet: Looking wider to see better

Liu, W., Rabinovich, A., Berg, A.C.: · 2016

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Is faster r-cnn doing well for pedestrian detection

Zhang, L., Lin, L., Liang, X., He, K.: · 2016

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