This study presents a new lossy image compression method that utilizes the multi-scale features of natural images. Our model consists of two networks: multi-scale lossy autoencoder and parallel multi-scale loss
通常在神经网络领域里会使用三角函数来编码位置信息,这里使用了计算更友好的三角函数变体来对位置信息进行编码,它有3个scale,2种shift和两个维度,因此会产生出12个位置信息编码。伪代码如下图所示: float4NtcEvaluatePositionalEncoding(float2posf,floatiscale){float4result;result.x=frac(posf.x*iscale)*4;result....
MSCNN论文解读-A Unified Multi-scale Deep Convolutional Neural Network for Fast Object Detection,程序员大本营,技术文章内容聚合第一站。
Networks for medical image segmentation often have a large number of model parameters and require multi-GPU compute resources for training. Leaderboard methods in polyp, retinal vessel, and skin lesion segmentation benchmarks are a few representative examples45,61,62. Image downsampling is common in...
One step further, we propose a Dual-domain Multi-scale CNN (DMCNN) to take full advantage of redundancies on both the pixel and DCT domains. Experiments show that DMCNN sets a new state-of-the-art for the task of JPEG artifact removal. 展开 关键词: Compression Artifacts Removal Image ...
2018-ICLR-Multi-scale dense networks for resource efficient image classification 2018-ICLR-Compressing Word Embedding via Deep Compositional Code Learning 2018-ICLR-Learning Discrete Weights Using the Local Reparameterization Trick 2018-ICLR-Training wide residual networks for deployment using a single bit ...
Xception [58]用深度可分离的卷积替换了初始模块[2]。MobileNet [28]针对嵌入式应用程序并堆叠多层深度可分离卷积。ShuffleNet [29]采用带有通道“shuffling”的逐点组卷积。Multiscale DenseNet [59]使用早期退出分类器来实现任何时间分类和预算批次分类。我们通过实验证明,修剪和量化是对高效网络架构设计的补充。
Large language models (LLMs), as series of large-scale, pre-trained, statistical language models based on neural networks, have achieved significant success in various fields, including natural language processing, multi-agent systems, and … Submission deadline: 30 December 2024 View all calls for...
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[BJTU] Lijun Zhao, Huihui Bai, Anhong Wang, Yao Zhao: Multiple Description Convolutional Neural Networks for Image Compression. Trans CSVT. [paper] [SJTU] Chunlei Cai, Li Chen, Xiaoyun Zhang, Zhiyong Gao: Efficient Variable Rate Image Compression With Multi-Scale Decomposition Network. Tans CSVT...