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Found 6 papers, 3 papers with code
ADOD: Adaptive Domain-Aware Object Detection with Residual Attention for Underwater Environments
This research presents ADOD, a novel approach to address domain generalization in underwater object detection.
Autonomous Underwater Robotic System for Aquaculture Applications
This work aims to develop a robotic-based automatic net defect detection system for aquaculture net pens oriented to on- ROV processing and real-time detection of different aqua-net defects such as biofouling, vegetation, net holes, and plastic.
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)
Household Energy Consumption Prediction Using the Stationary Wavelet Transform and Transformers
This study proposes a new technique using machine learning models based on the stationary wavelet transform (SWT) and transformers to forecast household power consumption in different resolutions.
Wind speed forecasting using the stationary wavelet transform and quaternion adaptivegradient methods
In this paper, we propose a novel wind-speed forecasting model that combines the stationary wavelet transform with quaternion-valued neural networks.
