ELU-Net: An Efficient and Lightweight U-Net for Medical Image Segmentation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3163711
Abstract: Recent years have witnessed a growing interest in the use of U-Net and its improvement. It is one of the classic semantic segmentation networks with an encoder-decoder architecture and is widely used in medical image… read more here.
Keywords: skip connections; elu net; image segmentation; efficient lightweight ... See more keywords
Seismic Data Reconstruction Using Deep Bidirectional Long Short-Term Memory With Skip Connections
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2020.2993847
Abstract: Due to environmental and economic constraints on their acquisition, seismic data are always irregularly sampled and include bad or missing traces, which can cause problems for seismic data processing. Recently, many researchers have attempted to… read more here.
Keywords: data reconstruction; seismic data; reconstruction using; deep bidirectional ... See more keywords
UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Medical Imaging"
DOI: 10.1109/tmi.2019.2959609
Abstract: The state-of-the-art models for medical image segmentation are variants of U-Net and fully convolutional networks (FCN). Despite their success, these models have two limitations: (1) their optimal depth is apriori unknown, requiring extensive architecture search… read more here.
Keywords: image segmentation; unet redesigning; skip connections; segmentation ... See more keywords
Why Is Everyone Training Very Deep Neural Network With Skip Connections?
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2021.3131813
Abstract: Recent deep neural networks (DNNs) with several layers of feature representations rely on some form of skip connections to simultaneously circumnavigate optimization problems and improve generalization performance. However, the operations of these models are still… read more here.
Keywords: dnns skip; network; skip connections; deep neural ... See more keywords
Norm-Preservation: Why Residual Networks Can Become Extremely Deep?
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"
DOI: 10.1109/tpami.2020.2990339
Abstract: Augmenting neural networks with skip connections, as introduced in the so-called ResNet architecture, surprised the community by enabling the training of networks of more than 1,000 layers with significant performance gains. This paper deciphers ResNet… read more here.
Keywords: preservation; norm preservation; residual networks; networks become ... See more keywords
Towards Bi-directional Skip Connections in Encoder-Decoder Architectures and Beyond
Sign Up to like & getrecommendations! Published in 2022 at "Medical image analysis"
DOI: 10.48550/arxiv.2203.05709
Abstract: U-Net, as an encoder-decoder architecture with forward skip connections, has achieved promising results in various medical image analysis tasks. Many recent approaches have also extended U-Net with more complex building blocks, which typically increase the… read more here.
Keywords: connections encoder; network; encoder decoder; skip connections ... See more keywords