TAC framework separates optimization of convolutional and fully connected layers in 1-bit DNNs to improve accuracy while maintaining efficiency.
Wang et al., Effective Multi -Query Expansions: Collaborative Deep Networks for Robust Landmark Retrieval, IEEE Transactions on Image Processing, 26 (3), 1393-1404, 2017
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A Targeted Acceleration and Compression Framework for Low bit Neural Networks
TAC framework separates optimization of convolutional and fully connected layers in 1-bit DNNs to improve accuracy while maintaining efficiency.