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Found 6 papers, 0 papers with code
Unsupervised Multi-modal Feature Alignment for Time Series Representation Learning
In contrast to conventional methods that fuse features from multiple modalities, our proposed approach simplifies the neural architecture by retaining a single time series encoder, consequently leading to preserved scalability.
Unsupervised Industrial Anomaly Detection via Pattern Generative and Contrastive Networks
After this, we use the Siamese-based network to compute the similarity of the generation image patch and original image patch.
An unsupervised approach for semantic place annotation of trajectories based on the prior probability
The Bayesian Criterion is specifically employed to decompose the spatiotemporal probability of the candidate place into spatial probability, duration probability, and visiting time probability.
Appearance-Invariant 6-DoF Visual Localization using Generative Adversarial Networks
The visual localization network is composed of a feature extraction network and pose regression network.
How Old Are You? Face Age Translation with Identity Preservation Using GANs
We present a novel framework to generate images of different age while preserving identity information, which is known as face aging.
Deep Global-Relative Networks for End-to-End 6-DoF Visual Localization and Odometry
Although a wide variety of deep neural networks for robust Visual Odometry (VO) can be found in the literature, they are still unable to solve the drift problem in long-term robot navigation.
