Results 251 to 260 of about 9,045,544 (280)
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IEEE Transactions on Geoscience and Remote Sensing, 2023
Deep learning methods face significant challenges in practical cross-scene classification tasks of hyperspectral images (HSIs), primarily due to the difficulty of acquiring labels and the issue of inconsistent distribution caused by spectral drift.
Chong Li +3 more
semanticscholar +1 more source
Deep learning methods face significant challenges in practical cross-scene classification tasks of hyperspectral images (HSIs), primarily due to the difficulty of acquiring labels and the issue of inconsistent distribution caused by spectral drift.
Chong Li +3 more
semanticscholar +1 more source
Conditional Variational Autoencoder for Sign Language Translation with Cross-Modal Alignment
AAAI Conference on Artificial Intelligence, 2023Sign language translation (SLT) aims to convert continuous sign language videos into textual sentences. As a typical multi-modal task, there exists an inherent modality gap between sign language videos and spoken language text, which makes the cross ...
Rui Zhao +5 more
semanticscholar +1 more source
A Path in the Maze: Costa Rica, Cross-conditionality and Development
1992In the case of Costa Rica most indicators show successful adjustment and recovery. Per capita income has not reached pre-crisis levels, but such a level was viable only under massive inflows of external savings. Other figures such as unemployment and real minimum wages do reflect a significant recovery of the economy.
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CBraMod: A Criss-Cross Brain Foundation Model for EEG Decoding
International Conference on Learning RepresentationsElectroencephalography (EEG) is a non-invasive technique to measure and record brain electrical activity, widely used in various BCI and healthcare applications.
Jiquan Wang +7 more
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Class-Aware Adversarial Multiwavelet Convolutional Neural Network for Cross-Domain Fault Diagnosis
IEEE Transactions on Industrial InformaticsIncomplete feature extraction and underutilization of unlabeled target data exist in the actual situation of rotating machinery fault diagnosis. To this end, a class-aware adversarial multiwavelet convolutional neural network (CAMCNN) is developed for ...
Ke Zhao +3 more
semanticscholar +1 more source
arXiv.org
Crack Segmentation in industrial concrete surfaces is a challenging task because cracks usually exhibit intricate morphology with slender appearances.
Xiang-Long Shi +4 more
semanticscholar +1 more source
Crack Segmentation in industrial concrete surfaces is a challenging task because cracks usually exhibit intricate morphology with slender appearances.
Xiang-Long Shi +4 more
semanticscholar +1 more source
Computer Vision and Pattern Recognition
We propose a controllable visual enhancer, named DDBF, which is based on cross-modal conditional adversarial learning and aims to dispel darkness and achieve better visible and infrared modalities fusion.
Hao Zhang +4 more
semanticscholar +1 more source
We propose a controllable visual enhancer, named DDBF, which is based on cross-modal conditional adversarial learning and aims to dispel darkness and achieve better visible and infrared modalities fusion.
Hao Zhang +4 more
semanticscholar +1 more source
Criticisms and suggestions on the cross-conditionality of the IMF and the World Bank
, 1989P. Meller
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Does Welfare Conditionality Reduce Democratic Participation?
, 2015Sara E. Watson
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Migrant deprivation, conditionality of legal status and the welfare state
, 2014Owen Corrigan
semanticscholar +1 more source