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Found 8 papers, 2 papers with code
A Soft Computing Approach for Selecting and Combining Spectral Bands
We introduce a soft computing approach for automatically selecting and combining indices from remote sensing multispectral images that can be used for classification tasks.
Principled Interpolation in Normalizing Flows
In this paper, we solve this issue by enforcing a fixed norm and, hence, change the base distribution, to allow for a principled way of interpolation.
Parallax Motion Effect Generation Through Instance Segmentation And Depth Estimation
Stereo vision is a growing topic in computer vision due to the innumerable opportunities and applications this technology offers for the development of modern solutions, such as virtual and augmented reality applications.
Spatio-Temporal Vegetation Pixel Classification By Using Convolutional Networks
Plant phenology studies rely on long-term monitoring of life cycles of plants.
Link Prediction in Dynamic Graphs for Recommendation
Recent advances in employing neural networks on graph domains helped push the state of the art in link prediction tasks, particularly in recommendation services.
A Genetic Algorithm Approach for ImageRepresentation Learning through Color Quantization
Recently, data-driven feature learning approaches have been successfully explored as alternatives for producing more representative visual features.
Exploiting ConvNet Diversity for Flooding Identification
Flooding is the world's most costly type of natural disaster in terms of both economic losses and human causalities.
Semantic Diversity versus Visual Diversity in Visual Dictionaries
Results for image classification show that as visual dictionaries are based on low-level visual appearances, visual diversity is more important than semantic diversity.
