Search Results - Masked Autoencoder

SS-MAE: Spatial-Spectral Masked Autoencoder for Multisource Remote Sensing Image Classification by Lin, Junyan, Gao, Feng, Shi, Xiaochen, Dong, Junyu, Du, Qian

“… To this end, we propose a spatial-spectral masked autoencoder (SS-MAE) for hyperspectral image (HSI…”
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MAN C: A masked autoencoder neural cryptography based encryption scheme for CT scan images by Kumar, Kishore, Tanwar, Sarvesh, Kumar, Shishir

“… In this paper we propose MAN-C: a Masked Autoencoder Neural Cryptography based encryption scheme for sharing medical images…”
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Spatial–Temporal Heatmap Masked Autoencoder for Skeleton-Based Action Recognition by Bian, Cunling, Yang, Yang, Wang, Tao, Lu, Weigang

“… In this work, we propose the Spatial–Temporal Heatmap Masked Autoencoder (STH-MAE), a novel self-supervised framework tailored for skeleton-based action recognition…”
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A masked autoencoder network for spatiotemporal predictive learning: A Masked Autoencoder Network by Sun, Fengzhen, Jin, Weidong

“… More importantly, we build a spatiotemporal autoencoder by the random clip mask strategy, which leads to better feature mining for temporal…”
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SMAE-Fusion: Integrating saliency-aware masked autoencoder with hybrid attention transformer for infrared–visible image fusion by Wang, Qinghua, Li, Ziwei, Zhang, Shuqi, Luo, Yuhong, Chen, Wentao, Wang, Tianyun, Chi, Nan, Dai, Qionghai

“… For this purpose, this study introduces SMAE-Fusion, a saliency-aware masked autoencoder framework tailored for infrared…”
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Spatial-Spectral Hierarchical Multiscale Transformer-Based Masked Autoencoder for Hyperspectral Image Classification by Liu, Haipeng, Ye, Zhen, Hu, Wen-Shuai, Cao, Zhan, Li, Wei

“… As such, based on the self-supervised learning, this article proposes a spatial-spectral hierarchical multiscale transformer-based masked autoencoder (SSHMT-MAE…”
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Anomaly detection in rolling bearings based on the Mel‐frequency cepstrum coefficient and masked autoencoder for distribution estimation by Xie, Suchao, Liu, Runda, Du, Leilei, Tan, Hongchuang

“… To solve this problem, a semisupervised anomaly detection method based on masked autoencoders of distribution estimation (MADE) is designed. First, the Mel…”
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Masked Autoencoders Are Scalable Vision Learners by He, Kaiming, Chen, Xinlei, Xie, Saining, Li, Yanghao, Dollar, Piotr, Girshick, Ross

“…This paper shows that masked autoencoders (MAE) are scalable self-supervised learners for computer vision…”
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Masked autoencoder for multiagent trajectories by Rudolph, Yannick, Brefeld, Ulf

“… For this purpose, we propose a novel self-supervised masked autoencoder for multiagent trajectories to effectively learn from only a few labeled sequences…”
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Contrastive Masked Autoencoders are Stronger Vision Learners by Huang, Zhicheng, Jin, Xiaojie, Lu, Chengze, Hou, Qibin, Cheng, Ming-Ming, Fu, Dongmei, Shen, Xiaohui, Feng, Jiashi

“… Towards this goal, we propose Contrastive Masked Autoencoders (CMAE), a new self-supervised pre-training method for learning more comprehensive and capable vision representations…”
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Masked Autoencoders for Spatial-Temporal Relationship in Video-Based Group Activity Recognition by Yadav, Rajeshwar, Halder, Raju, Banda, Gourinath

“…Group Activity Recognition (GAR) is a challenging problem involving several intricacies. The core of GAR lies in delving into spatiotemporal features to…”
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A fast and accurate physics-informed neural network reduced order model with shallow masked autoencoder by Kim, Youngkyu, Choi, Youngsoo, Widemann, David, Zohdi, Tarek

“…•A novel physics-informed neural network reduced order model is introduced.•It is based on nonlinear manifold solution representation.•A sparse shallow neural…”
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ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders by Woo, Sanghyun, Debnath, Shoubhik, Hu, Ronghang, Chen, Xinlei, Liu, Zhuang, Kweon, In So, Xie, Saining

“… While these models were originally designed for supervised learning with ImageNet labels, they can also potentially benefit from self-supervised learning techniques such as masked autoencoders (MAE) [14…”
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Teaching Masked Autoencoder With Strong Augmentations by Zhu, Rui, Bai, Yalong, Yao, Ting, Liu, Jingen, Sun, Zhenglong, Mei, Tao, Wen Chen, Chang

“…Masked autoencoder (MAE) has been regarded as a capable self-supervised learner for various downstream tasks…”
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scMAE: a masked autoencoder for single-cell RNA-seq clustering by Fang, Zhaoyu, Zheng, Ruiqing, Li, Min

“… Results Here, we propose a novel masked autoencoder-based method, scMAE, for cell clustering…”
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Adaptive Masked Autoencoder Transformer for image classification by Chen, Xiangru, Liu, Chenjing, Hu, Peng, Lin, Jie, Gong, Yunhong, Chen, Yingke, Peng, Dezhong, Geng, Xue

“… In order to address these challenges, we propose the Adaptive Masked Autoencoder Transformer (AMAT…”
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MAR: Masked Autoencoders for Efficient Action Recognition by Qing, Zhiwu, Zhang, Shiwei, Huang, Ziyuan, Wang, Xiang, Wang, Yuehuan, Lv, Yiliang, Gao, Changxin, Sang, Nong

“… The recent progress in masked video modelling, specifically VideoMAE, has shown the ability of vanilla Vision Transformers (ViT…”
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VideoMAE V2: Scaling Video Masked Autoencoders with Dual Masking by Wang, Limin, Huang, Bingkun, Zhao, Zhiyu, Tong, Zhan, He, Yinan, Wang, Yi, Wang, Yali, Qiao, Yu

“… This paper shows that video masked autoencoder (VideoMAE) is a scalable and general self-supervised pre-trainer for building video foundation models…”
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DPMGCDA: Deciphering circRNA-Drug Sensitivity Associations with Dual Perspective Learning and Path-Masked Graph Autoencoder by Luo, Yue, Deng, Lei

“… To address this challenge, we propose a computational framework termed DPMGCDA leveraging dual perspective learning and path-masked graph autoencoder to predict circRNA-drug sensitivity associations…”
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Masked Graph Autoencoder for Self‐Supervised Transportation Mode Recognition by Zeng, Ziyi, Wang, Guanwen, Zhang, Yifan, Guan, Qingfeng, Yu, Wenhao

“… Notably, in order to learn features without labeled data, we introduce graph autoencoder into the framework…”
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