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Found 2 papers, 0 papers with code
Cascaded Deep Hybrid Models for Multistep Household Energy Consumption Forecasting
This study introduces two hybrid cascaded models for forecasting multistep household power consumption in different resolutions.
Semantic Labeling of High Resolution Images Using EfficientUNets and Transformers
In this paper, we propose a new segmentation model that combines convolutional neural networks with transformers, and show that this mixture of local and global feature extraction techniques provides significant advantages in remote sensing segmentation.
Ranked #3 on
Semantic Segmentation
on ISPRS Vaihingen
(using extra training data)
