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An Empirical Study Of Self-supervised Learning Approaches For Object Detection With Transformers

Self-supervised learning (SSL) methods such as masked language modeling ...

Deep Depth Completion: A Survey

Depth completion aims at predicting dense pixel-wise depth from a sparse...

Self-supervised regression learning using domain knowledge: Applications to improving self-supervised denoising in imaging

Regression that predicts continuous quantity is a central part of applic...

Tensor-based Emotion Editing in the StyleGAN Latent Space

In this paper, we use a tensor model based on the Higher-Order Singular ...

Automated Audio Captioning: an Overview of Recent Progress and New Challenges

Automated audio captioning is a cross-modal translation task that aims t...