模型量化是深度学习Inference加速的关键技术之一, 一般训练之后得到的模型采用float32 (fp32)格式存储, 由于FP32 bit位数宽, 而且浮点计算对硬件资源消耗高,造成内存带宽,模型吞吐率瓶颈。量化(Quantization)是解决FP32 的模型在内存带宽消耗,推理速度的主要技术之一, 其采用定点(fixed point)或者整形数据(INT8)代替FP...
The influence function, a technique from robust statistics, measures the impact on model parameters or related functions when training data is removed or modified. This effective and valuable post-hoc method allows for studying the interpretability of machine learning models without requiring costly model...
target domain, the generator synthesizes new images on-the-fly to resemble samples from the target domain in appearance and the segmentation network further refines high-level features before predicting semantic maps, both of which leverage feature statistics of sampled images from the target domain....
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Channel estimation for single-input multiple-output (SIMO), possibly time-varying, channels is considered using only the first-order statistics of the data... J.K. Tugnait,W Luo - IEEE International Conference on Acoustics 被引量: 409发表: 2008年 Blind multiuser channel estimation in as...
In this paper a method of joint source/channel coding is presented.Based on the statistics of a source with N different symbols,we select N codes having a desired minimum Hamming distance d_(min) between them.The decoder utilizes the d_(min) and the corresponding relationship between code and...
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An optimized compressed block with symmetrical structure is proposed based on model structure and parameter statistics, and the efficient channel attention modules are considered as a channel-wise mechanism to improve the model architecture.The results show that the algorithm’s average precision in ...
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