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Found 5 papers, 1 papers with code
Evaluating Hierarchical Document Categorisation
Hierarchical document categorisation is a special case of multi-label document categorisation, where there is a taxonomic hierarchy among the labels.
Semantic Segmentation by Improved Generative Adversarial Networks
Besides, the adversarial loss aggressively encourages the output image to be close to the distribution of the ground truth.
Superpixel Segmentation with Fully Convolutional Networks
In computer vision, superpixels have been widely used as an effective way to reduce the number of image primitives for subsequent processing.
Stochastic Coordinate Coding and Its Application for Drosophila Gene Expression Pattern Annotation
The effectiveness of gene expression pattern annotation relies on the quality of feature representation.
A Two-Stage Weighting Framework for Multi-Source Domain Adaptation
In this paper we propose a two-stage domain adaptation methodology which combines weighted data from multiple sources based on marginal probability differences (first stage) as well as conditional probability differences (second stage), with the target domain data.
