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Found 7 papers, 1 papers with code
SS-VAERR: Self-Supervised Apparent Emotional Reaction Recognition from Video
This work focuses on the apparent emotional reaction recognition (AERR) from the video-only input, conducted in a self-supervised fashion.
Survey: Leakage and Privacy at Inference Time
Leakage of data from publicly available Machine Learning (ML) models is an area of growing significance as commercial and government applications of ML can draw on multiple sources of data, potentially including users' and clients' sensitive data.
Similarity-based data mining for online domain adaptation of a sonar ATR system
Due to the expensive nature of field data gathering, the lack of training data often limits the performance of Automatic Target Recognition (ATR) systems.
Adversarial Generation of Informative Trajectories for Dynamics System Identification
Dynamic System Identification approaches usually heavily rely on the evolutionary and gradient-based optimisation techniques to produce optimal excitation trajectories for determining the physical parameters of robot platforms.
Unlimited Resolution Image Generation with R2D2-GANs
In this paper we present a novel simulation technique for generating high quality images of any predefined resolution.
Full-Scale Continuous Synthetic Sonar Data Generation with Markov Conditional Generative Adversarial Networks
High-quality realistic sonar data simulation could be of benefit to multiple applications, including training of human operators for post-mission analysis, as well as tuning and validation of autonomous target recognition (ATR) systems for underwater vehicles.
Behavioural Repertoire via Generative Adversarial Policy Networks
Leveraging our generative policy network, a robot can sample novel behaviors until it finds one that works for a new environment.
