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cs.CV2024
Deep Feature Surgery: Towards Accurate and Efficient Multi-Exit Networks
Cheng Gong, Yao Chen, Qiuyang Luo +5
Multi-exit network is a promising architecture for efficient model inference by sharing backbone networks and weights among multiple exits. However, the gradient conflict of the sh…
cs.CV2024
Minimize Quantization Output Error with Bias Compensation
Cheng Gong, Haoshuai Zheng, Mengting Hu +4
Quantization is a promising method that reduces memory usage and computational intensity of Deep Neural Networks (DNNs), but it often leads to significant output error that hinder…