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Transformer Models for Vision

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Transformer Models for Vision

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Mapping forest in the Swiss Alps treeline ecotone with explainable deep learning

Generalization Properties of NAS under Activation and Skip Connection Search

CovNet: Covariance networks for functional data on multidimensional domains

RayTran: 3D Pose Estimation and Shape Reconstruction of Multiple Objects from Videos with Ray-Traced Transformers

Bridging the gap between model-driven and data-driven methods in the era of Big Data

Leveraging topology, geometry, and symmetries for efficient Machine Learning

Generalization of an Encoder-Decoder LSTM model for flood prediction in ungauged catchments

Remote sensing visual question answering with a self-attention multi-modal encoder

OSLO: On-the-Sphere Learning for Omnidirectional Images and Its Application to 360-Degree Image Compression

A Critical Re-evaluation of Neural Methods for Entity Alignment