Cascade^CNN: Pushing the Performance Limits of Quantisation in Convolutional Neural Networks

@article{Kouris2018CascadeCNNPT,
  title={Cascade^CNN: Pushing the Performance Limits of Quantisation in Convolutional Neural Networks},
  author={Alexandros Kouris and Stylianos I. Venieris and C. Bouganis},
  journal={2018 28th International Conference on Field Programmable Logic and Applications (FPL)},
  year={2018},
  pages={155-1557}
}
This work presents CascadeCNN, an automated toolflow that pushes the quantisation limits of any given CNN model, aiming to perform high-throughput inference. A two-stage architecture tailored for any given CNN-FPGA pair is generated, consisting of a low-and high-precision unit in a cascade. A confidence evaluation unit is employed to identify misclassified cases from the excessively low-precision unit and forward them to the high-precision unit for re-processing. Experiments demonstrate that… Expand
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References

SHOWING 1-10 OF 30 REFERENCES
Weakly Supervised Cascaded Convolutional Networks
  • 177
  • PDF
FINN: A Framework for Fast, Scalable Binarized Neural Network Inference
  • 460
  • PDF
Very Deep Convolutional Networks for Large-Scale Image Recognition
  • 47,837
  • Highly Influential
  • PDF
Quantized Convolutional Neural Networks for Mobile Devices
  • 636
  • PDF
Toolflows for Mapping Convolutional Neural Networks on FPGAs
  • 92
  • PDF
ImageNet classification with deep convolutional neural networks
  • 62,919
  • Highly Influential
  • PDF
A convolutional neural network cascade for face detection
  • 911
  • PDF
fpgaConvNet: A Framework for Mapping Convolutional Neural Networks on FPGAs
  • 140
  • PDF
Hardware-oriented Approximation of Convolutional Neural Networks
  • 237
  • PDF
...
1
2
3
...