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[HTML][HTML] Addressing challenges inverse problem with convolutional neural networks and regulation techniques: Applications in extraction of physical parameters of …
The instability of the inverse problem is caused by its nonlocal and non-causal nature. This
study addresses the inverse problem of determining the physical parameters of …
study addresses the inverse problem of determining the physical parameters of …
Quantum data parallelism in quantum neural networks
S Wu, Y Zhang, J Li - Physical Review Research, 2025 - APS
Quantum neural networks hold promise for achieving lower generalization error bounds and
enhanced computational efficiency in processing certain datasets. However, the integration …
enhanced computational efficiency in processing certain datasets. However, the integration …
LargeRSDet: A Large Mini-Batch Object Detector for Remote Sensing Images
H Zhu, Q Li, K Miao, J Wang, B Hou… - IEEE Geoscience and …, 2023 - ieeexplore.ieee.org
Deep neural network models based on vision transformer (ViT) have shown unprecedented
performance in the field of remote sensing image object detection. However, those models …
performance in the field of remote sensing image object detection. However, those models …
Boosting the Transferability of Adversarial Attack on Vision Transformer with Adaptive Token Tuning
Vision transformers (ViTs) perform exceptionally well in various computer vision tasks but
remain vulnerable to adversarial attacks. Recent studies have shown that the transferability …
remain vulnerable to adversarial attacks. Recent studies have shown that the transferability …