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It is challenging to bridge the performance gap between Binary CNN (BCNN) and Floating point CNN (FCNN).
Freund, Y., Schapire, R.E.: A decision-theoretic generalization of on-line learning and an application to boosting. Journal of computer and system sciences 55
1997
Earlier work this paper cites.
Deng, J., Dong, W., Socher, R., Li, L.J., Li, K., Fei-Fei, L.: Imagenet: A large-scale hierarchical image database. In: CVPR (2009)
2009
Earlier work this paper cites.
Krizhevsky, A.: Learning multiple layers of features from tiny images (2009)
2009
Earlier work this paper cites.
Krizhevsky, A., Sutskever, I., Hinton, G.E.: Imagenet classification with deep convolutional neural networks. In: NeurIPS (2012)
2012
Earlier work this paper cites.
Simonyan, K., Zisserman, A.: Very deep convolutional networks for large-scale image recognition. In: ICLR (2014)
2014
Earlier work this paper cites.
Girshick, R.: Fast r-cnn. In: ICCV (2015)
2015
Earlier work this paper cites.
Ioffe, S., Szegedy, C.: Batch normalization: Accelerating deep network training by reducing internal covariate shift. In: ICML (2015)
2015
Earlier work this paper cites.
Long, J., Shelhamer, E., Darrell, T.: Fully convolutional networks for semantic segmentation. In: CVPR (2015)
2015
Earlier work this paper cites.
He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: CVPR (2016)
2016
Earlier work this paper cites.
Hubara, I., Courbariaux, M., Soudry, D., El-Yaniv, R., Bengio, Y.: Binarized neural networks. In: NeurIPS (2016)
2016
Earlier work this paper cites.
Li, F., Zhang, B., Liu, B.: Ternary weight networks. arXiv preprint arXiv:1605.04711 (2016)
2016
Earlier work this paper cites.
Rastegari, M., Ordonez, V., Redmon, J., Farhadi, A.: Xnor-net: Imagenet classification using binary convolutional neural networks. In: ECCV (2016)
2016
Earlier work this paper cites.
2016
Cited alongside, same era.
He, K., Gkioxari, G., Dollar, P., Girshick, R.: Mask r-cnn. In: ICCV (2017)
2017
Cited alongside, same era.
Lin, X., Zhao, C., Pan, W.: Towards accurate binary convolutional neural network. In: NeurIPS (2017)
2017
Cited alongside, same era.
2017
Cited alongside, same era.
Zagoruyko, S., Komodakis, N.: Paying more attention to attention: Improving the performance of convolutional neural networks via attention transfer. In: ICLR (2017)
2017
Gu, J., Zhao, J., Jiang, X., Zhang, B., Liu, J., Guo, G., Ji, R.: Bayesian optimized 1-bit cnns. In: ICCV (2019)
2019
Later among the works it cites.
Huang, Z., Wang, X., Huang, L., Huang, C., Wei, Y., Liu, W.: Ccnet: Criss-cross attention for semantic segmentation. In: ICCV (2019)
2019
Later among the works it cites.
Liu, C., Chen, L.C., Schroff, F., Adam, H., Hua, W., Yuille, A.L., Fei-Fei, L.: Auto-deeplab: Hierarchical neural architecture search for semantic image segmentation. In: CVPR (2019)
2019
Later among the works it cites.
Liu, C., Ding, W., Xia, X., Hu, Y., Zhang, B., Liu, J., Zhuang, B., Guo, G.: Rectified binary convolutional networks for enhancing the performance of 1-bit dcnns. In: IJCAI (2019)
2019
Later among the works it cites.
Liu, C., Ding, W., Xia, X., Zhang, B., Gu, J., Liu, J., Ji, R., Doermann, D.: Circulant binary convolutional networks: Enhancing the performance of 1-bit dcnns with circulant back propagation. In: CVPR (2019)
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Cited alongside, same era.
Liu, Z., Wu, B., Luo, W., Yang, X., Liu, W., Cheng, K.T.: Bi-real net: Enhancing the performance of 1-bit cnns with improved representational capability and advanced training algorithm. In: ECCV (2018)
2018
Cited alongside, same era.
2018
Cited alongside, same era.
Wan, D., Shen, F., Liu, L., Zhu, F., Qin, J., Shao, L., Tao Shen, H.: Tbn: Convolutional neural network with ternary inputs and binary weights. In: ECCV (2018)
2018
Cited alongside, same era.
Zhang, X., Zhou, X., Lin, M., Sun, J.: Shufflenet: An extremely efficient convolutional neural network for mobile devices. In: CVPR (2018)
2018
Cited alongside, same era.
Zhuang, B., Shen, C., Tan, M., Liu, L., Reid, I.: Towards effective low-bitwidth convolutional neural networks. In: CVPR (2018)
2018
Cited alongside, same era.
2019
Cited alongside, same era.
Gu, J., Li, C., Zhang, B., Han, J., Cao, X., Liu, J., Doermann, D.: Projection convolutional neural networks for 1-bit cnns via discrete back propagation. In: AAAI (2019)
2019
Cited alongside, same era.
2019
Later among the works it cites.
Liu, Z., Mu, H., Zhang, X., Guo, Z., Yang, X., Cheng, K.T., Sun, J.: Metapruning: Meta learning for automatic neural network channel pruning. In: ICCV (2019)
2019
Later among the works it cites.
Wang, Z., Lu, J., Tao, C., Zhou, J., Tian, Q.: Learning channel-wise interactions for binary convolutional neural networks. In: CVPR (2019)
2019
Later among the works it cites.
Zhu, S., Dong, X., Su, H.: Binary ensemble neural network: More bits per network or more networks per bit? In: CVPR (2019)
2019
Later among the works it cites.
Zhu, Z., Xu, M., Bai, S., Huang, T., Bai, X.: Asymmetric non-local neural networks for semantic segmentation. In: ICCV (2019)
2019
Later among the works it cites.
Zhuang, B., Shen, C., Tan, M., Liu, L., Reid, I.: Structured binary neural networks for accurate image classification and semantic segmentation. In: CVPR (2019)
2019
Later among the works it cites.
Hai Phan, Dang Huynh, Y.H.M.S.Z.S.: Mobinet: A mobile binary network for image classification. In: WACV (2020)
2020
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