MAE-MACD: The Masked Adversarial Contrastive Distillation Algorithm Grounded in Masked Autoencoders

Authors: Zhang, D., Dong, Y.

Source: IEEE Transactions on Industrial Informatics IEEE Trans. Ind. Inf. Industrial Informatics, IEEE Transactions on. 21(1):337-346 Jan, 2025

A Task-Generic High-Performance Unsupervised Pre-Training Framework for ECG

Authors: Wang, G., Wang, Q., Nag, A., John, D.

Source: IEEE Sensors Journal IEEE Sensors J. Sensors Journal, IEEE. 24(13):21776-21785 Jul, 2024

Masked Autoencoder via End-to-End Zero-Shot Learning for Fault Diagnosis of Unseen Classes

Authors: Long, J., Lin, J., Jiang, L., Yang, Z., Guo, J., Yin, T., Li, C.

Source: IEEE Transactions on Instrumentation and Measurement IEEE Trans. Instrum. Meas. Instrumentation and Measurement, IEEE Transactions on. 73:1-10 2024

Improving Visual Representations of Masked Autoencoders With Artifacts Suppression

Authors: Miao, Z., Luo, H., Liu, D., Zhang, J.

Source: IEEE Signal Processing Letters IEEE Signal Process. Lett. Signal Processing Letters, IEEE. 31:2615-2619 2024

DEMAE: Diffusion-Enhanced Masked Autoencoder for Hyperspectral Image Classification With Few Labeled Samples

Authors: Li, Z., Xue, Z., Jia, M., Nie, X., Wu, H., Zhang, M., Su, H.

Source: IEEE Transactions on Geoscience and Remote Sensing IEEE Trans. Geosci. Remote Sensing Geoscience and Remote Sensing, IEEE Transactions on. 62:1-16 2024

ConMAE: Contour Guided MAE for Unsupervised Vehicle Re-Identification

Authors: Yang, Jing, Fang, Jianwu, Xu, Hongke

Source: 2023 35th Chinese Control and Decision Conference (CCDC) Control and Decision Conference (CCDC), 2023 35th Chinese. :4616-4622 May, 2023

Relation: 2023 35th Chinese Control and Decision Conference (CCDC)

Feature Guided Masked Autoencoder for Self-Supervised Learning in Remote Sensing

Authors: Yi Wang, Hugo Hernandez Hernandez, Conrad M Albrecht, Xiao Xiang Zhu

Source: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 18, Pp 321-336 (2025)

Subject Terms: Earth observation, geospatial foundation models, masked autoencoder (MAE), remote sensing (RS), self-supervised learning, Ocean engineering, TC1501-1800, Geophysics. Cosmic physics, QC801-809

File Description: electronic resource

Relation: https://ieeexplore.ieee.org/document/10766851/; https://doaj.org/toc/1939-1404; https://doaj.org/toc/2151-1535

Access URL: https://doaj.org/article/ad141a7704a940acb0a37173d5a8ed62

Transformer-Based Masked Autoencoder With Contrastive Loss for Hyperspectral Image Classification

Authors: Cao, X., Lin, H., Guo, S., Xiong, T., Jiao, L.

Source: IEEE Transactions on Geoscience and Remote Sensing IEEE Trans. Geosci. Remote Sensing Geoscience and Remote Sensing, IEEE Transactions on. 61:1-12 2023

EEG generalizable representations learning via masked fractional fourier domain modeling

Authors: Zhang, Shubin ^a, An, Dong ^{b, c, d, e, f}, Liu, Jincun ^{b, c, d, e, f}, Wei, Yaoguang ^{b, c, d, e, f, ⁎}

Source: In Applied Soft Computing February 2025 170

A Novel MAE-Based Self-Supervised Anomaly Detection and Localization Method

Authors: Yibo Chen, Haolong Peng, Le Huang, Jianming Zhang, Wei Jiang

Source: IEEE Access, Vol 11, Pp 127526-127538 (2023)

Subject Terms: Defect localization, self-supervised learning, visual transformer (ViT), masked autoencoder (MAE), industrial products, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

File Description: electronic resource

Relation: https://ieeexplore.ieee.org/document/10316283/; https://doaj.org/toc/2169-3536

Access URL: https://doaj.org/article/18b6318a0a3d44ec854e8808a830b8a1