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Found 7 papers, 0 papers with code
Pyramid U-Net for Retinal Vessel Segmentation
To further improve performance, two optimizations including pyramid inputs enhancement and deep pyramid supervision are applied to PSABs in the encoder and decoder, respectively.
ObjectAug: Object-level Data Augmentation for Semantic Image Segmentation
In addition, ObjectAug can support category-aware augmentation that gives various possibilities to objects in each category, and can be easily combined with existing image-level augmentation methods to further boost performance.
Exploiting Review Neighbors for Contextualized Helpfulness Prediction
Four weighting schemes are designed to learn context clues from the selected neighbors.
MDU-Net: Multi-scale Densely Connected U-Net for biomedical image segmentation
The three multi-scale dense connections improve U-net performance by up to 1. 8% on test A and 3. 5% on test B in the MICCAI Gland dataset.
Neural Sparse Topical Coding
Topic models with sparsity enhancement have been proven to be effective at learning discriminative and coherent latent topics of short texts, which is critical to many scientific and engineering applications.
Supervised Anomaly Detection in Uncertain Pseudoperiodic Data Streams
Uncertain data streams have been widely generated in many Web applications.
Refining Adverse Drug Reactions using Association Rule Mining for Electronic Healthcare Data
Side effects of prescribed medications are a common occurrence.
