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Kara et al. proposed FreqMAE, a self-supervised masked autoencoder that incorporates domain-specific signal processing for multi-modal IoT environments. Its architecture includes a Temporal-Shifting ...

An Autoencoder Architecture for L-Band Passive Microwave Retrieval of Landscape Freeze-Thaw Cycle Abstract: Estimating the landscape and soil freeze-thaw (FT) dynamics in the Northern Hemisphere (NH) ...

A long-term time series forecasting (LTSF) model named LTScoder based on a linear autoencoder architecture is presented in this paper. LTScoder performs feature extraction through an encoder to ...

Autoencoder architecture and loss function #240. Copy link. Description. Arksyd96. opened on Apr 16, 2023. Issue body actions. ... Firstly, in the compvis version of the autoencoder, there is a Vector ...

Researchers from Rutgers University propose a slot-based autoencoder architecture called SLot Attention TransformEr (SLATE). The SLATE model is a combination of the best from DALL·E and object-centric ...

An autoencoder is a neural network that predicts its own input. The diagram in Figure 3 shows the architecture of the 65-32-8-32-65 autoencoder used in the demo program. An input image x, with 65 ...