二值網絡--Training Binary Weight Networks via Semi-Binary Decomposition
Training Binary Weight Networks via Semi-Binary Decomposition ECCV2018 CNN模型的壓縮或加速總體上分爲三類： pruning-based methods, low-rank decomposition based methods, and quantization-based methods 本文屬於 low-rank dec
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相關文章
- 1. From Hashing to CNNs: Training Binary Weight Networks via Hashing
- 2. 二值網絡訓練--Training Competitive Binary Neural Networks from Scratch
- 3. ImageNet 二值網絡精度排名表
- 4. 二值網絡--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. 二值網絡訓練--A Empirical Study of Binary Neural Networks' Optimisation
- 8. 二值網絡--XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks
- 9. 二值神經網絡（Binary Neural Networks）最新綜述
- 10. 二值神經網絡（Binary Neural Network，BNN）