MedMAE: A Self-Supervised Backbone for Medical Imaging Tasks by Anubhav Gupta, Islam Osman, Mohamed S. Shehata, W. John Braun, Rebecca E. Feldman

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An Improved MAE-Based Pretraining Method for Urban Public Space Monitoring With Optical Remote Sensing Imagery by Wentao Wei, Huan Chen, Yu Jiang, Li Fu, Ping Yao

Subjects: “…Masked autoencoder (MAE)…”
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Geological Stratification Technology Based on Artificial Intelligence Algorithms and Its Application Effects by GAO Yuan, YAO Weihua, CAI Shaofeng, LI Liang, XUE Yuan, ZHAO Peipei, WANG Xiaoyang, WEI Wei

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Enhancement of Optical Wireless Discrete Multitone Channel Capacity Based on Li-Fi Using Sparse Coded Mask Modeling by Yong-Yuk Won, Heetae Han, Dongmin Choi, Sang Min Yoon

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SkelETT—Skeleton-to-Emotion Transfer Transformer by Pedro Victor Vieira Paiva, Josue Junior Guimaraes Ramos, Marina Gavrilova, Marco Antonio Garcia de Carvalho

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Thyroid nodule segmentation in ultrasound images using transformer models with masked autoencoder pre-training by Yi Xiang, Rajendra Acharya, Quan Le, Jen Hong Tan, Chiaw-Ling Chng

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A Weakly Supervised and Self-Supervised Learning Approach for Semantic Segmentation of Land Cover in Satellite Images with National Forest Inventory Data by Daniel Moraes, Manuel L. Campagnolo, Mário Caetano

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Spatial–Temporal Heatmap Masked Autoencoder for Skeleton-Based Action Recognition by Cunling Bian, Yang Yang, Tao Wang, Weigang Lu

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MAPM:PolSAR Image Classification with Masked Autoencoder Based on Position Prediction and Memory Tokens by Jianlong Wang, Yingying Li, Dou Quan, Beibei Hou, Zhensong Wang, Haifeng Sima, Junding Sun

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Advanced montane bird monitoring using self-supervised learning and transformer on passive acoustic data by Yu-Cheng Wei, Wei-Lun Chen, Mao-Ning Tuanmu, Sheng-Shan Lu, Ming-Tang Shiao

Subjects: “…Audio-masked autoencoder…”
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Unsupervised Insulator Defect Detection Method Based on Masked Autoencoder by Yanying Song, Wei Xiong

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Spatial–Spectral Hierarchical Multiscale Transformer-Based Masked Autoencoder for Hyperspectral Image Classification by Haipeng Liu, Zhen Ye, Wen-Shuai Hu, Zhan Cao, Wei Li

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Artificial intelligence model predicts M2 macrophage levels and HCC prognosis with only globally labeled pathological images by Huiyuan Tian, Yongshao Tian, Dujuan Li, Minfan Zhao, Qiankun Luo, Lingfei Kong, Tao Qin

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Leveraging two-dimensional pre-trained vision transformers for three-dimensional model generation via masked autoencoders by Muhammad Sajid, Kaleem Razzaq Malik, Ateeq Ur Rehman, Tauqeer Safdar Malik, Masoud Alajmi, Ali Haider Khan, Amir Haider, Seada Hussen

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Advancing ALS Applications with Large-Scale Pre-Training: Framework, Dataset, and Downstream Assessment by Haoyi Xiu, Xin Liu, Taehoon Kim, Kyoung-Sook Kim

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PhenoVision: A framework for automating and delivering research‐ready plant phenology data from field images by Russell Dinnage, Erin Grady, Nevyn Neal, Jonn Deck, Ellen Denny, Ramona Walls, Carrie Seltzer, Robert Guralnick, Daijiang Li

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CurriMAE: curriculum learning based masked autoencoders for multi-labeled pediatric thoracic disease classification by Taeyoung Yoon, Daesung Kang

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SSL-MAE: Adaptive Semisupervised Learning Framework for Multilabel Classification of Remote Sensing Images Using Masked Autoencoders by Marjan Stoimchev, Jurica Levatic, Dragi Kocev, Saso Dzeroski

Subjects: “…Masked autoencoders (MAEs)…”
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Local pattern aware 3D video swin transformer with masked autoencoding for realtime augmented reality gesture interaction by Suli Wang

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Micro-expression recognition based on self-supervised masked optical flow(基于自监督掩码光流的人脸微表情识别) by 刘晓宇(LIU Xiaoyu), 谢志华(XIE Zhihua), 周志武(ZHOU Zhiwu)

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