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GeneA-SLAM2: Dynamic SLAM with AutoEncoder-Preprocessed Genetic Keypoints Resampling and Depth Variance-Guided Dynamic Region Removal This paper introduces GeneA-SLAM2, an RGB-D SLAM system for ...

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In this work, an adversarial contrastive autoencoder with a shared attention network (ACASA) is proposed for correlation learning in audio-visual retrieval. In particular, the proposed shared ...

Ex-Microsoft employees get $4M from Accel to build an AI tool for product presentations Ivan Mehta 9:00 AM PST · December 3, 2024 ...

Compared to using PCA for dimensionality reduction, using a neural autoencoder has the big advantage that it works with source data that contains both numeric and categorical data, while PCA works ...

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This letter presents a cross-modal adversarial variational autoencoder (CM-AVAE) for visual-to-tactile data generation. Our model incorporates latent space learning from variational autoencoders (VAEs ...