Zobrazeno 1 - 10
of 111
pro vyhledávání: '"Zhao, Rongzhen"'
Object-Centric Learning (OCL) can discover objects in images or videos by simply reconstructing the input. For better object discovery, representative OCL methods reconstruct the input as its Variational Autoencoder (VAE) intermediate representation,
Externí odkaz:
http://arxiv.org/abs/2411.02299
Representing images or videos as object-level feature vectors, rather than pixel-level feature maps, facilitates advanced visual tasks. Object-Centric Learning (OCL) primarily achieves this by reconstructing the input under the guidance of Variationa
Externí odkaz:
http://arxiv.org/abs/2410.01539
Object-Centric Learning (OCL) represents dense image or video pixels as sparse object features. Representative methods utilize discrete representation composed of Variational Autoencoder (VAE) template features to suppress pixel-level information red
Externí odkaz:
http://arxiv.org/abs/2409.03553
Similar to humans perceiving visual scenes as objects, Object-Centric Learning (OCL) can abstract dense images or videos into sparse object-level features. Transformer-based OCL handles complex textures well due to the decoding guidance of discrete r
Externí odkaz:
http://arxiv.org/abs/2407.01726
Existing convolution techniques in artificial neural networks suffer from huge computation complexity, while the biological neural network works in a much more powerful yet efficient way. Inspired by the biological plasticity of dendritic topology an
Externí odkaz:
http://arxiv.org/abs/2301.05440
Publikováno v:
Zhejiang dianli, Vol 43, Iss 2, Pp 25-33 (2024)
Research findings indicate that in multi-unit systems experiencing subsynchronous oscillations （SSO）， the units tend to exhibit similar torsional vibration frequencies. Therefore， an analysis was conducted on the interactive effects among sha
Externí odkaz:
https://doaj.org/article/b56161c2f55d4f51a826c403dcc106af
Publikováno v:
In Reliability Engineering and System Safety September 2023 237
Publikováno v:
In Measurement 15 June 2023 214
Publikováno v:
In Engineering Applications of Artificial Intelligence June 2023 122
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