Zobrazeno 1 - 10
of 519
pro vyhledávání: '"Lew, Michael"'
Publikováno v:
In Engineering Applications of Artificial Intelligence October 2024 136 Part B
Publikováno v:
In Engineering Applications of Artificial Intelligence July 2024 133 Part A
Publikováno v:
In Engineering Applications of Artificial Intelligence May 2024 131
Accurately matching visual and textual data in cross-modal retrieval has been widely studied in the multimedia community. To address these challenges posited by the heterogeneity gap and the semantic gap, we propose integrating Shannon information th
Externí odkaz:
http://arxiv.org/abs/2104.04991
Person ReID methods always learn through a stationary domain that is fixed by the choice of a given dataset. In many contexts (e.g., lifelong learning), those methods are ineffective because the domain is continually changing in which case incrementa
Externí odkaz:
http://arxiv.org/abs/2103.12462
Publikováno v:
Proceedings of the International Conference on Pattern Recognition (ICPR) 2020
Convolutional neural network training can suffer from diverse issues like exploding or vanishing gradients, scaling-based weight space symmetry and covariant-shift. In order to address these issues, researchers develop weight regularization methods a
Externí odkaz:
http://arxiv.org/abs/2103.06583
Publikováno v:
Proceedings of the International Conference on Pattern Recognition (ICPR) 2020
Computational Fluid Dynamics (CFD) simulations are a very important tool for many industrial applications, such as aerodynamic optimization of engineering designs like cars shapes, airplanes parts etc. The output of such simulations, in particular th
Externí odkaz:
http://arxiv.org/abs/2103.06552
Autor:
Chen, Wei, Liu, Yu, Wang, Weiping, Bakker, Erwin, Georgiou, Theodoros, Fieguth, Paul, Liu, Li, Lew, Michael S.
In recent years a vast amount of visual content has been generated and shared from many fields, such as social media platforms, medical imaging, and robotics. This abundance of content creation and sharing has introduced new challenges, particularly
Externí odkaz:
http://arxiv.org/abs/2101.11282
The focus of this survey is on the analysis of two modalities of multimodal deep learning: image and text. Unlike classic reviews of deep learning where monomodal image classifiers such as VGG, ResNet and Inception module are central topics, this pap
Externí odkaz:
http://arxiv.org/abs/2010.08189