二值网络--Training Binary Weight Networks via Semi-Binary Decomposition
Training Binary Weight Networks via Semi-Binary Decomposition ECCV2018 CNN模型的压缩或加速总体上分为三类： pruning-based methods, low-rank decomposition based methods, and quantization-based methods 本文属于 low-rank dec
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相关文章
- 1. From Hashing to CNNs: Training Binary Weight Networks via Hashing
- 2. 二值网络训练--Training Competitive Binary Neural Networks from Scratch
- 3. ImageNet 二值网络精度排名表
- 4. 二值网络--Structured Binary Neural Networks for Accurate Image Classification and Semantic Segmentation
- 5. Ternary weight networks
- 6. Multi-Precision Quantized Neural Networks via Encoding Decomposition of {-1，+1}
- 7. 二值网络训练--A Empirical Study of Binary Neural Networks' Optimisation
- 8. 二值网络--XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks
- 9. 二值神经网络（Binary Neural Networks）最新综述
- 10. 二值神经网络（Binary Neural Network，BNN）