Results 21 to 30 of about 117,293 (275)
A Novel Weight-Shared Multi-Stage CNN for Scale Robustness [PDF]
, 2019 Convolutional neural networks (CNNs) have demonstrated remarkable results in image classification for benchmark tasks and practical applications. The CNNs with deeper architectures have achieved even higher performance recently thanks to their robustness
Matsubara, Takashi +2 more
core +2 more sources
COVID-ResNet: COVID-19 Recognition Based on Improved Attention ResNet
Electronics, 2023 COVID-19 is the most widespread infectious disease in the world. There is an incubation period in the early stage of infection. At present, there are some difficulties in the diagnosis of COVID-19. Medical image analysis based on computed tomography (CT) images is an important tool for clinical diagnosis. However, the lesion size of COVID-19 is smaller,
Tao Zhou +5 more
openaire +1 more source
Deep learning system for assessing diabetic retinopathy prevalence and risk level estimation [PDF]
E3S Web of Conferences, 2023 Diabetic retinopathy, one of the foremost problems brought on by Diabetes Mellitus has seen an exponential rise in incidence due to the exponential growth of diabetics worldwide and causes visual issues and sightlessness owing to deformity of individual ...
Biswas Ankur, Banik Rita
doaj +1 more source
Deep metric learning to rank [PDF]
, 2019 We propose a novel deep metric learning method by revisiting the learning to rank approach. Our method, named FastAP, optimizes the rank-based Average Precision measure, using an approximation derived from distance quantization.
Cakir, Fatih +4 more
core +1 more source
Face Expression Classification in Children Using CNN
IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2022 One of the turbulent emotions can be recognized from facial expressions. When compared with adults, children's facial expressions are more expressive for positive emotions and ambiguous for negative emotions so that they are much more difficult to ...
Yusril Ihza, Danang Lelono
doaj +1 more source
Connection Science, 2022 Aiming at the problems of few detecting samples, deformable target sizes and overlapping among targets in the detection of headdresses and seats of Thangka Yidam, we propose an optimised few shot Thangka detection method based on the ResNet and ...
Hu Wenjin +5 more
doaj +1 more source
Frontiers in Environmental Science, 2022 The global atmospheric chemical transport model has become a key technology for air quality forecast and management. However, precise and rapid air quality simulations and forecast are frequently limited by the model’s computational performance.
Zixi Wang +15 more
doaj +1 more source
Resnet in Resnet: Generalizing Residual Architectures
, 2016 Residual networks (ResNets) have recently achieved state-of-the-art on challenging computer vision tasks. We introduce Resnet in Resnet (RiR): a deep dual-stream architecture that generalizes ResNets and standard CNNs and is easily implemented with no computational overhead.
Targ, Sasha +2 more
openaire +2 more sources
SynA-ResNet: Spike-driven ResNet Achieved through OR Residual Connection
, 2023 Spiking Neural Networks (SNNs) have garnered substantial attention in brain-like computing for their biological fidelity and the capacity to execute energy-efficient spike-driven operations. As the demand for heightened performance in SNNs surges, the trend towards training deeper networks becomes imperative, while residual learning stands as a pivotal
Shan, Yimeng +5 more
openaire +2 more sources