Segmentation propagation, similar to tracking, is the problem of transferring a segmentation of an image to a neighboring image in a sequence. This problem is of particular importance to materials ...

Video data owns strong dynamic features in both spatial and temporal domains. In the literature, 3D Convolutional Neural Networks (3D CNNs) serve as a successful technique to simultaneously learn the ...

Contribute to khoda81/obsidian-better-graph-3d development by creating an account on GitHub. Skip to content. Navigation Menu Toggle navigation. Sign in Appearance settings. Product GitHub Copilot ...

UCLA researchers have introduced a framework for synthesizing arbitrary, spatially varying 3D point spread functions (PSFs) using diffractive processors. This approach enables unique imaging ...

The graph below shows the total number of publications each year in Statistical Physics of Graphs and Partition Functions. References [1] Algorithmic Cluster Expansions for Quantum Problems .

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The Graph price analysis: GRT marks a lower high at $0.0753. Key takeaways: The Graph price analysis confirmed an increase as the altcoin recovered to $0.0753. Cryptocurrency gained 3.65% of its value ...

And it also makes use of the "Fast Coreference Resolution in spaCy with Neural Networks" package neuralcoref to resolve the referencing issues while extracting NER. The extracted knowledge graph is ...

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