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Found 7 papers, 2 papers with code
Satellite Sunroof: High-res Digital Surface Models and Roof Segmentation for Global Solar Mapping
The transition to renewable energy, particularly solar, is key to mitigating climate change.
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.
