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Found 5 papers, 3 papers with code
Efficient option pricing with unary-based photonic computing chip and generative adversarial learning
In the modern financial industry system, the structure of products has become more and more complex, and the bottleneck constraint of classical computing power has already restricted the development of the financial industry.
A photonic chip-based machine learning approach for the prediction of molecular properties
Machine learning methods have revolutionized the discovery process of new molecules and materials.
Semantic Correlation Promoted Shape-Variant Context for Segmentation
In this way, the proposed network aggregates the context information of a pixel from its semantic-correlated region instead of a predefined fixed region.
Ranked #13 on
Semantic Segmentation
on COCO-Stuff test
Boundary-Aware Feature Propagation for Scene Segmentation
Furthermore, we propose a boundary-aware feature propagation (BFP) module to harvest and propagate the local features within their regions isolated by the learned boundaries in the UAG-structured image.
Ranked #38 on
Semantic Segmentation
on PASCAL Context
Context Contrasted Feature and Gated Multi-Scale Aggregation for Scene Segmentation
In this paper, we first propose a novel context contrasted local feature that not only leverages the informative context but also spotlights the local information in contrast to the context.
Ranked #16 on
Semantic Segmentation
on COCO-Stuff test
