Robuta

https://openreview.net/forum?id=gz7c2HIcub7 Masked Autoencoder-Based Self-Supervised Learning for Electrocardiograms to Detect Left Ventricular... The pre-trained ViT of ECGs using MAE showed excellent transition learning performance with a small dataset. self supervised learning masked autoencoder https://zenn.dev/nudibranch/articles/f4ee569465716d ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoder convnext v2 designing scaling masked autoencoder https://drive.google.com/file/d/1SthUMnstWoXsDogzA8DgZqTWA6OYpYNl/view?pli=1 TNNLS-2023-P-27570_Teaching_Masked_Autoencoder_with_Strong_Augmentations.pdf - Google Drive https://arxiv.org/abs/2210.16870v1 [2210.16870v1] A simple, efficient and scalable contrastive masked autoencoder for learning visual... Abstract page for arXiv paper 2210.16870v1: A simple, efficient and scalable contrastive masked autoencoder for learning visual representations https://openreview.net/forum?id=nn5OPHom8t EVEREST: Efficient Masked Video Autoencoder by Removing Redundant Spatiotemporal Tokens | OpenReview Masked Video Autoencoder (MVA) approaches have demonstrated their potential by significantly outperforming previous video representation learning methods.... everest efficient masked video autoencoder https://openreview.net/forum?id=nyve289JCF AMAES: Augmented Masked Autoencoder Pretraining on Public Brain MRI Data for 3D-Native Segmentation... This study investigates the impact of self-supervised pretraining of 3D semantic segmentation models on a large-scale, domain-specific dataset. We introduce... https://openreview.net/forum?id=0gOL4G02CG Towards Generalizable Particle Picking in Cryo-EM Images by Leveraging Masked AutoEncoder |... Cryo-electron microscopy (cryo-EM) is an important technique to determine protein structures, yet particle picking remains a bottleneck due to inherent... cryo em