Jcs: An explainable covid-19 diagnosis system by joint classification and segmentation
Recently, the coronavirus disease 2019 (COVID-19) has caused a pandemic disease in
over 200 countries, influencing billions of humans. To control the infection, identifying and …
over 200 countries, influencing billions of humans. To control the infection, identifying and …
b-darts: Beta-decay regularization for differentiable architecture search
Abstract Neural Architecture Search (NAS) has attracted increasingly more attention in
recent years because of its capability to design deep neural network automatically. Among …
recent years because of its capability to design deep neural network automatically. Among …
[HTML][HTML] Neural architecture search: A contemporary literature review for computer vision applications
M Poyser, TP Breckon - Pattern Recognition, 2024 - Elsevier
Abstract Deep Neural Networks have received considerable attention in recent years. As the
complexity of network architecture increases in relation to the task complexity, it becomes …
complexity of network architecture increases in relation to the task complexity, it becomes …
Nats-bench: Benchmarking nas algorithms for architecture topology and size
Neural architecture search (NAS) has attracted a lot of attention and has been illustrated to
bring tangible benefits in a large number of applications in the past few years. Architecture …
bring tangible benefits in a large number of applications in the past few years. Architecture …
Dints: Differentiable neural network topology search for 3d medical image segmentation
Recently, neural architecture search (NAS) has been applied to automatically search high-
performance networks for medical image segmentation. The NAS search space usually …
performance networks for medical image segmentation. The NAS search space usually …
Efficient automation of neural network design: A survey on differentiable neural architecture search
In the past few years, Differentiable Neural Architecture Search (DNAS) rapidly imposed
itself as the trending approach to automate the discovery of deep neural network …
itself as the trending approach to automate the discovery of deep neural network …
Global2local: Efficient structure search for video action segmentation
Temporal receptive fields of models play an important role in action segmentation. Large
receptive fields facilitate the long-term relations among video clips while small receptive …
receptive fields facilitate the long-term relations among video clips while small receptive …
Representative batch normalization with feature calibration
Abstract Batch Normalization (BatchNorm) has become the default component in modern
neural networks to stabilize training. In BatchNorm, centering and scaling operations, along …
neural networks to stabilize training. In BatchNorm, centering and scaling operations, along …
Designing the topology of graph neural networks: A novel feature fusion perspective
L Wei, H Zhao, Z He - Proceedings of the ACM Web Conference 2022, 2022 - dl.acm.org
In recent years, Graph Neural Networks (GNNs) have shown superior performance on
diverse real-world applications. To improve the model capacity, besides designing …
diverse real-world applications. To improve the model capacity, besides designing …
Pre-nas: Evolutionary neural architecture search with predictor
Y Peng, A Song, V Ciesielski… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Neural architecture search (NAS) aims to automate architecture engineering in neural
networks. This often requires a high computational overhead to evaluate a number of …
networks. This often requires a high computational overhead to evaluate a number of …