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GDS: Gradient Distribution Scaling-based Gradient Quantization for Low-complexity and Hardware-friendly Training of Instance Segmentation Models

Dahun Choi, Hyun Kim. GDS: Gradient Distribution Scaling-based Gradient Quantization for Low-complexity and Hardware-friendly Training of Instance Segmentation Models. In International Conference on Electronics, Information, and Communication, ICEIC 2024, Taipei, Taiwan, January 28-31, 2024. pages 1-2, IEEE, 2024. [doi]

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