Results 1 to 10 of about 12,789,098 (243)
Coordinate Attention for Efficient Mobile Network Design [PDF]
Computer Vision and Pattern Recognition, 2021 Recent studies on mobile network design have demonstrated the remarkable effectiveness of channel attention (e.g., the Squeeze-and-Excitation attention) for lifting model performance, but they generally neglect the positional information, which is ...
Qibin Hou, Daquan Zhou, Jiashi Feng
semanticscholar +1 more source
Path Aggregation Network for Instance Segmentation [PDF]
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018 The way that information propagates in neural networks is of great importance. In this paper, we propose Path Aggregation Network (PANet) aiming at boosting information flow in proposal-based instance segmentation framework.
Shu Liu +4 more
semanticscholar +1 more source
Analysing networks of networks
Social Networks, 2023 We consider data with multiple observations or reports on a network in the case when these networks themselves are connected through some form of network ties. We could take the example of a cognitive social structure where there is another type of tie connecting the actors that provide the reports; or the study of interpersonal spillover effects from ...
Johan H. Koskinen +5 more
openaire +2 more sources
Acknowledgment to Reviewers of Network in 2021
Network, 2022 Rigorous peer-reviews are the basis of high-quality academic publishing [...]
Network Editorial Office
doaj +1 more source
Learning to Compare: Relation Network for Few-Shot Learning [PDF]
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2017 We present a conceptually simple, flexible, and general framework for few-shot learning, where a classifier must learn to recognise new classes given only few examples from each.
Flood Sung +5 more
semanticscholar +1 more source
Dual Attention Network for Scene Segmentation [PDF]
Computer Vision and Pattern Recognition, 2018 In this paper, we address the scene segmentation task by capturing rich contextual dependencies based on the self-attention mechanism. Unlike previous works that capture contexts by multi-scale features fusion, we propose a Dual Attention Networks (DANet)
J. Fu +4 more
semanticscholar +1 more source
Acknowledgment to the Reviewers of Network in 2022
Network, 2023 High-quality academic publishing is built on rigorous peer review [...]
Network Editorial Office
doaj +1 more source
Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) Network [PDF]
Physica A: Statistical Mechanics and its Applications, 2018 Because of their effectiveness in broad practical applications, LSTM networks have received a wealth of coverage in scientific journals, technical blogs, and implementation guides.
A. Sherstinsky
semanticscholar +1 more source
Pyramid Scene Parsing Network [PDF]
Computer Vision and Pattern Recognition, 2016 Scene parsing is challenging for unrestricted open vocabulary and diverse scenes. In this paper, we exploit the capability of global context information by different-region-based context aggregation through our pyramid pooling module together with the ...
Hengshuang Zhao +4 more
semanticscholar +1 more source
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network [PDF]
Computer Vision and Pattern Recognition, 2016 Despite the breakthroughs in accuracy and speed of single image super-resolution using faster and deeper convolutional neural networks, one central problem remains largely unsolved: how do we recover the finer texture details when we super-resolve at ...
C. Ledig +8 more
semanticscholar +1 more source