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Dual Path provides robust network platforms - the foundation for ultra high speed Internet access, smart systems, enhanced service offerings and the connected home. This advanced …
4.2 Dual Path Networks. The proposed network is built by stacking multiple modualized mirco-blocks as shown in Figure 2. In this work, the structure of each micro-block …
DPN picks the advantages from both ResNet and DenseNet. Finally, it outperforms ResNet, DenseNet, PolyNet, and ResNeXt in image …
Dual Path Networks. Yunpeng Chen, Jianan Li, Huaxin Xiao, Xiaojie Jin, Shuicheng Yan, Jiashi Feng. In this work, we present a simple, highly efficient and modularized Dual Path …
Dual Path Networks. In this work, we present a simple, highly efficient and modularized Dual Path Network (DPN) for image classification which presents a new topology of connection paths …
My implementaion of super-resolution based on dual-path networks. It can be used directly to reconstruct your low-resolution image to high-resolution. Also, you can use your …
The Dual Path Network (DPN) is a neural network architecture for blind symbol decoding and modulation classification. This repository includes the code that accompanies …
ABSTRACT. In this work, we present a simple, highly efficient and modularized Dual Path Network (DPN) for image classification which presents a new topology of connection paths internally. …
A Dual Path Network (DPN) is a convolutional neural network which presents a new topology of connection paths internally. The intuition is that ResNets enables feature re-usage while DenseNet enables new feature exploration, and both are …
Dual Path Networks Yunpeng Chen 1, Jianan Li;2, Huaxin Xiao 3, Xiaojie Jin 1, Shuicheng Yan4;, Jiashi Feng1 1National University of Singapore 2Beijing Institute of Technology 3National …
These two regression tasks are naturally dependent on each other. In this work, we propose a dual-path network specially designed for multi-person human pose estimation, and …
Abstract and Figures. In this work, we present a simple, highly efficient and modularized Dual Path Network (DPN) for image classification which presents a new topology …
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The proposed model is consist of two components: first, a dual path network (DPN), which is a deep convolutional neural network used to convert R.G.B. features of the …
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