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Found 6 papers, 2 papers with code
Cross Modal Distillation for Flood Extent Mapping
Unlike the conventional self distillation setup, we propose a cross modal distillation framework that transfers supervision from a teacher trained on richer modality (multi-spectral images) to a student model trained on SAR imagery.
A Machine Learning Data Fusion Model for Soil Moisture Retrieval
We develop a deep learning based convolutional-regression model that estimates the volumetric soil moisture content in the top ~5 cm of soil.
"How to rate a video game?" - A prediction system for video games based on multimodal information
A straightforward approach would be to predict the scores of video games based on other information related to the game.
Hybrid Binary Networks: Optimizing for Accuracy, Efficiency and Memory
We analyze the binarization tradeoff using a metric that jointly models the input binarization-error and computational cost and introduce an efficient algorithm to select layers whose inputs are to be binarized.
Distribution-Aware Binarization of Neural Networks for Sketch Recognition
We present a theoretical analysis of the technique to show the effective representational power of the resulting layers, and explore the forms of data they model best.
