most citedA Survey on Masked Autoencoder for Self-supervised Learning in Vision and Beyond

38 citations · 42 across the 2 of their papers we have counts for

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cs.CV2023★ 4 cited

EcoTTA: Memory-Efficient Continual Test-time Adaptation via Self-distilled Regularization

Junha Song, Jungsoo Lee, In So Kweon +1

This paper presents a simple yet effective approach that improves continual test-time adaptation (TTA) in a memory-efficient manner. TTA may primarily be conducted on edge devices…

cs.CV2022★ 38 cited

A Survey on Masked Autoencoder for Self-supervised Learning in Vision and Beyond

Chaoning Zhang, Chenshuang Zhang, Junha Song +3

Masked autoencoders are scalable vision learners, as the title of MAE \cite{he2022masked}, which suggests that self-supervised learning (SSL) in vision might undertake a similar tr…