In this paper, we propose two modified neural networks based on dual path multi-scale fusion networks (SFANet) and SegNet for accurate and efficient crowd counting. Inspired by SFANet, the first model ...

This work is based on our arXiv tech report. We propose a deep hierarchical Encoder-Decoder architecture with point atrous convolution to exploit multi-scale edge-aware features in unorganized 3D ...

The accurate estimation of future network traffic is a key enabler for early warning of network degradation and automated orchestration of network resources. The long short-term memory neural network ...

The library provides a wide range of pretrained encoders (also known as backbones) for segmentation models. Instead of using features from the final layer of a classification model, we extract ...

Huang, X. (2018) DeepLabv3+: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation. has been cited by the following article: TITLE: Recognition of Pointer Meter Readings ...

Up-sampling is carried out by means of transposed convolution, and a symmetric coding-decoding network is constructed by splicing the low-level features of encoder and high-level features of decoder ...