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Found 5 papers, 1 papers with code
Implicit Assimilation of Sparse In Situ Data for Dense & Global Storm Surge Forecasting
Hurricanes and coastal floods are among the most disastrous natural hazards.
A systematic review of the use of Deep Learning in Satellite Imagery for Agriculture
Agricultural research is essential for increasing food production to meet the requirements of an increasing population in the coming decades.
A comprehensive solution to retrieval-based chatbot construction
In this paper we present the results of our experiments in training and deploying a self-supervised retrieval-based chatbot trained with contrastive learning for assisting customer support agents.
Enhancing Trajectory Prediction using Sparse Outputs: Application to Team Sports
Sophisticated trajectory prediction models that effectively mimic team dynamics have many potential uses for sports coaches, broadcasters and spectators.
Continuous Video to Simple Signals for Swimming Stroke Detection with Convolutional Neural Networks
Most research has been focused on action recognition and using it to classify many clips in continuous video for action localisation.
