Semilayer-Wise Partial Quantization Without Accuracy Degradation or Back Propagation
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-44201-8_24
Reference27 articles.
1. Chen, W., Wang, P., Cheng, J.: Towards mixed-precision quantization of neural networks via constrained optimization. In: IEEE/CVF International Conference on Computer Vision (ICCV), pp. 5350–5359 (2021)
2. Choukroun, Y., Kravchik, E., Yang, F., Kisilev, P.: Low-bit Quantization of Neural Networks for Efficient Inference. arXiv preprint arXiv:1902.06822v2 (2019)
3. Deng, J., Dong, W., Socher, R., Li, L., Li, K., Fei-Fei, L.: Imagenet: a large-scale hierarchical image database. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 248–255 (2009)
4. Girshick, R.: Fast R-CNN. In: IEEE International Conference on Computer Vision (ICCV), pp. 1440–1448 (2015)
5. Girshick, R., Donahue, J., Darrell, T., Malik, J.: Rich feature hierarchies for accurate object detection and semantic segmentation. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 580–587 (2014)
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