self.num_filters,#滤波器个数,决定输出特征图的通道数,例如36,输出则为[256,256,36](5,5),#卷积核尺寸name="layer_0",#名字,略corr=True,# 卷积/互相关?strides_down=2,#下采样步长padding="same_zeros",#0填充use_bias=True,#Boolean, whether an additive constant will be applied to each output...
论文代码(训练、测试代码,其他预训练模型) https://github.com/tensorflow/compres 论文评论(其他人和作者的评论等) End-to-end Optimized Image Compression | OpenReview 作者本人在PCS2108上做的口头汇报 https://www.youtube.com/watch?v=x_q7cZviXkY 目...
We built TVM, a compiler that takes a high-levelspecificationof a deep learning program from existing frameworks and generates low-level optimized code for a diverse set of hardware back-ends. 吸引用户的前提条件是:TVM可以获得和manually optimized operator libraries相当的性能。要达到这样的目的需要解决...
我们开发了一种基于非线性变换的图像压缩模型端到端优化框架(图1)。在此之前,我们证明了一个由线性 - 非线性块变换组成的模型,针对感知失真度量进行了优化,与针对均方误差(MSE)优化的模型相比,在视觉上表现出优越性(Ball'e,Laparra和Simoncelli,2016 )。在这里,我们针对MSE进行了优化,但使用了由线性卷积和非线性...
Cross-layer optimized video streaming over wireless multi-hop mesh networks The proliferation of wireless multihop communication infrastructures in office or residential environments depends on their ability to support a variety of... Y Andreopoulos,N Mastronarde,van der Schaar, M. - 《IEEE Journal...
The proposed framework can automatically complete ROI image compression, and it can be optimized from data in an end-to-end manner. To effectively train the framework by back propagation, we develop a soft-to-hard ROI prediction scheme to make the entire framework differential. To improve visual...
Figure 1: CPU, GPU and TPU-like accelerators require differenton-chipmemory architectures and compute primitives. This divergence must be addressed when generating optimized code. 当前的DL框架,如TensorFlow,MXNet,Caffe和Pytorch,依靠计算图实现优化,如自动微分和动态内存管理。图形级优化,通常太深奥,无法处理...
We propose a context-adaptive entropy model for use in end-to-end optimized image compression. Our model exploits two types of contexts, bit-consuming cont... J Lee,S Cho,SK Beack - 《Arxiv》 被引量: 0发表: 2018年 Deep Matching and Validation Network: An End-to-End Solution to Constr...
Standardized, optimized, and hardened end-to-end选择语言:从 到 翻译结果1翻译结果2 翻译结果3翻译结果4翻译结果5 翻译结果1复制译文编辑译文朗读译文返回顶部 规范化,优化和硬化的端 - 端 翻译结果2复制译文编辑译文朗读译文返回顶部 使标准化,优化,变强硬端到端 翻译结果3复制译文编辑译文朗读译文返回顶部 ...
本文提出了一种图像压缩框架,其由一个非线性分析变换、一个均匀量化器和一个非线性综合变换组成。这些变换都三层结构,每一层由一个卷积线性过滤器和非线性的激活函数构成。与大多数卷积神经网络不同的是,这些联合的非线性是用来实现一种局部增益控制,这种局部增益控制最