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RepQ: Generalizing Quantization-Aware Training for Re-Parametrized Architectures
However, there are various methods to improve their efficiency.
Differentiable Channel Sparsity Search via Weight Sharing within Filters
Experimental results of semantic segmentation and image super resolution indicate that task-specific search achieves better performance than transferring slim models, demonstrating the wide applicability and high efficiency of DCSS.
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