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Arbelle, A.[Assaf],
Karlinsky, L.[Leonid],
Harary, S.[Sivan],
Scheidegger, F.[Florian],
Doveh, S.[Sivan],
Giryes, R.[Raja],
MAEDAY: MAE for few- and zero-shot AnomalY-Detection,
CVIU(241), 2024, pp. 103958.
Elsevier DOI
2403
Anomaly-detection, Masked autoencoder, Foreign object detection
BibRef
Krispel, G.[Georg],
Schinagl, D.[David],
Fruhwirth-Reisinger, C.[Christian],
Possegger, H.[Horst],
Bischof, H.[Horst],
MAELi: Masked Autoencoder for Large-Scale LiDAR Point Clouds,
WACV24(3371-3380)
IEEE DOI
2404
Point cloud compression, Laser radar, Annotations,
Semantic segmentation, Semantics, Object detection, Algorithms
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Yang, Z.[Zhangsihao],
Ding, K.[Kaize],
Liu, H.[Huan],
Wang, Y.L.[Ya-Lin],
MGM-AE: Self-Supervised Learning on 3D Shape Using Mesh Graph Masked
Autoencoders,
WACV24(3291-3301)
IEEE DOI
2404
Shape, Transfer learning, Self-supervised learning,
Benchmark testing, Feature extraction, Data models, Algorithms
BibRef
Zhai, J.T.[Jiang-Tian],
Liu, X.[Xialei],
Bagdanov, A.D.[Andrew D.],
Li, K.[Ke],
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Masked Autoencoders are Efficient Class Incremental Learners,
ICCV23(19047-19056)
IEEE DOI Code:
WWW Link.
2401
BibRef
Lin, Y.Z.[Yuan-Ze],
Wei, C.[Chen],
Wang, H.Y.[Hui-Yu],
Yuille, A.[Alan],
Xie, C.[Cihang],
SMAUG: Sparse Masked Autoencoder for Efficient Video-Language
Pre-training,
ICCV23(2459-2469)
IEEE DOI
2401
BibRef
Lao, S.S.[Shan-Shan],
Song, G.[Guanglu],
Liu, B.[Boxiao],
Liu, Y.[Yu],
Yang, Y.[Yujiu],
Masked Autoencoders Are Stronger Knowledge Distillers,
ICCV23(6361-6370)
IEEE DOI
2401
BibRef
Liu, J.[Jihao],
Huang, X.[Xin],
Zheng, J.L.[Jin-Liang],
Liu, Y.[Yu],
Li, H.S.[Hong-Sheng],
MixMAE: Mixed and Masked Autoencoder for Efficient Pretraining of
Hierarchical Vision Transformers,
CVPR23(6252-6261)
IEEE DOI
2309
BibRef
Huang, Q.D.[Qi-Dong],
Dong, X.Y.[Xiao-Yi],
Chen, D.D.[Dong-Dong],
Chen, Y.P.[Yin-Peng],
Yuan, L.[Lu],
Hua, G.[Gang],
Zhang, W.M.[Wei-Ming],
Yu, N.H.[Neng-Hai],
Improving Adversarial Robustness of Masked Autoencoders via Test-time
Frequency-domain Prompting,
ICCV23(1600-1610)
IEEE DOI Code:
WWW Link.
2401
BibRef
Reed, C.J.[Colorado J.],
Gupta, R.[Ritwik],
Li, S.[Shufan],
Brockman, S.[Sarah],
Funk, C.[Christopher],
Clipp, B.[Brian],
Keutzer, K.[Kurt],
Candido, S.[Salvatore],
Uyttendaele, M.T.[Matt T.],
Darrell, T.J.[Trevor J.],
Scale-MAE: A Scale-Aware Masked Autoencoder for Multiscale Geospatial
Representation Learning,
ICCV23(4065-4076)
IEEE DOI
2401
BibRef
Huang, B.K.[Bing-Kun],
Zhao, Z.[Zhiyu],
Zhang, G.Z.[Guo-Zhen],
Qiao, Y.[Yu],
Wang, L.M.[Li-Min],
MGMAE: Motion Guided Masking for Video Masked Autoencoding,
ICCV23(13447-13458)
IEEE DOI
2401
BibRef
Zhou, A.[Aojun],
Li, Y.[Yang],
Qin, Z.[Zipeng],
Liu, J.B.[Jian-Bo],
Pan, J.[Junting],
Zhang, R.[Renrui],
Zhao, R.[Rui],
Gao, P.[Peng],
Li, H.S.[Hong-Sheng],
SparseMAE: Sparse Training Meets Masked Autoencoders,
ICCV23(16130-16140)
IEEE DOI Code:
WWW Link.
2401
BibRef
Wei, C.[Chen],
Mangalam, K.[Karttikeya],
Huang, P.Y.[Po-Yao],
Li, Y.H.[Yang-Hao],
Fan, H.Q.[Hao-Qi],
Xu, H.[Hu],
Wang, H.Y.[Hui-Yu],
Xie, C.[Cihang],
Yuille, A.[Alan],
Feichtenhofer, C.[Christoph],
Diffusion Models as Masked Autoencoders,
ICCV23(16238-16248)
IEEE DOI
2401
BibRef
Mirza, M.J.[M. Jehanzeb],
Shin, I.[Inkyu],
Lin, W.[Wei],
Schriebl, A.[Andreas],
Sun, K.[Kunyang],
Choe, J.[Jaesung],
Kozinski, M.[Mateusz],
Possegger, H.[Horst],
Kweon, I.S.[In So],
Yoon, K.J.[Kuk-Jin],
Bischof, H.[Horst],
MATE: Masked Autoencoders are Online 3D Test-Time Learners,
ICCV23(16663-16672)
IEEE DOI
2401
BibRef
Kong, L.J.[Ling-Jing],
Ma, M.Q.[Martin Q.],
Chen, G.Y.[Guang-Yi],
Xing, E.P.[Eric P.],
Chi, Y.[Yuejie],
Morency, L.P.[Louis-Philippe],
Zhang, K.[Kun],
Understanding Masked Autoencoders via Hierarchical Latent Variable
Models,
CVPR23(7918-7928)
IEEE DOI
2309
BibRef
Bandara, W.G.C.[Wele Gedara Chaminda],
Patel, N.[Naman],
Gholami, A.[Ali],
Nikkhah, M.[Mehdi],
Agrawal, M.[Motilal],
Patel, V.M.[Vishal M.],
AdaMAE: Adaptive Masking for Efficient Spatiotemporal Learning with
Masked Autoencoders,
CVPR23(14507-14517)
IEEE DOI
2309
BibRef
Wang, L.M.[Li-Min],
Huang, B.[Bingkun],
Zhao, Z.[Zhiyu],
Tong, Z.[Zhan],
He, Y.[Yinan],
Wang, Y.[Yi],
Wang, Y.[Yali],
Qiao, Y.[Yu],
VideoMAE V2: Scaling Video Masked Autoencoders with Dual Masking,
CVPR23(14549-14560)
IEEE DOI
2309
BibRef
Wu, Q.Q.[Qiang-Qiang],
Yang, T.Y.[Tian-Yu],
Liu, Z.Q.[Zi-Quan],
Wu, B.Y.[Bao-Yuan],
Shan, Y.[Ying],
Chan, A.B.[Antoni B.],
DropMAE: Masked Autoencoders with Spatial-Attention Dropout for
Tracking Tasks,
CVPR23(14561-14571)
IEEE DOI
2309
BibRef
Huang, W.[Wei],
Peng, Z.L.[Zhi-Liang],
Dong, L.[Li],
Wei, F.[Furu],
Jiao, J.B.[Jian-Bin],
Ye, Q.X.[Qi-Xiang],
Generic-to-Specific Distillation of Masked Autoencoders,
CVPR23(15996-16005)
IEEE DOI
2309
BibRef
Zhang, R.[Renrui],
Wang, L.[Liuhui],
Qiao, Y.[Yu],
Gao, P.[Peng],
Li, H.S.[Hong-Sheng],
Learning 3D Representations from 2D Pre-Trained Models via
Image-to-Point Masked Autoencoders,
CVPR23(21769-21780)
IEEE DOI
2309
BibRef
Xie, R.[Ronald],
Pang, K.[Kuan],
Bader, G.D.[Gary D.],
Wang, B.[Bo],
MAESTER: Masked Autoencoder Guided Segmentation at Pixel Resolution
for Accurate, Self-Supervised Subcellular Structure Recognition,
CVPR23(3292-3301)
IEEE DOI
2309
BibRef
Weers, F.[Floris],
Shankar, V.[Vaishaal],
Katharopoulos, A.[Angelos],
Yang, Y.F.[Yin-Fei],
Gunter, T.[Tom],
Masked Autoencoding Does Not Help Natural Language Supervision at
Scale,
CVPR23(23432-23444)
IEEE DOI
2309
BibRef
Bai, Y.T.[Yu-Tong],
Wang, Z.[Zeyu],
Xiao, J.F.[Jun-Fei],
Wei, C.[Chen],
Wang, H.Y.[Hui-Yu],
Yuille, A.[Alan],
Zhou, Y.[Yuyin],
Xie, C.[Cihang],
Masked Autoencoders Enable Efficient Knowledge Distillers,
CVPR23(24256-24265)
IEEE DOI
2309
BibRef
Pang, Y.[Yatian],
Wang, W.X.[Wen-Xiao],
Tay, F.E.H.[Francis E. H.],
Liu, W.[Wei],
Tian, Y.H.[Yong-Hong],
Yuan, L.[Li],
Masked Autoencoders for Point Cloud Self-Supervised Learning,
ECCV22(II:604-621).
Springer DOI
2211
BibRef
Chen, Y.[Yabo],
Liu, Y.C.[Yu-Chen],
Jiang, D.S.[Dong-Sheng],
Zhang, X.P.[Xiao-Peng],
Dai, W.R.[Wen-Rui],
Xiong, H.K.[Hong-Kai],
Tian, Q.[Qi],
SdAE: Self-distillated Masked Autoencoder,
ECCV22(XXX:108-124).
Springer DOI
2211
BibRef
Dong, X.Y.[Xiao-Yi],
Bao, J.M.[Jian-Min],
Zhang, T.[Ting],
Chen, D.D.[Dong-Dong],
Zhang, W.M.[Wei-Ming],
Yuan, L.[Lu],
Chen, D.[Dong],
Wen, F.[Fang],
Yu, N.H.[Neng-Hai],
Bootstrapped Masked Autoencoders for Vision BERT Pretraining,
ECCV22(XXX:247-264).
Springer DOI
2211
BibRef
Yang, H.Y.[Hai-Yang],
Tang, S.X.[Shi-Xiang],
Chen, M.[Meilin],
Wang, Y.Z.[Yi-Zhou],
Zhu, F.[Feng],
Bai, L.[Lei],
Zhao, R.[Rui],
Ouyang, W.L.[Wan-Li],
Domain Invariant Masked Autoencoders for Self-supervised Learning from
Multi-domains,
ECCV22(XXXI:151-168).
Springer DOI
2211
BibRef
Bachmann, R.[Roman],
Mizrahi, D.[David],
Atanov, A.[Andrei],
Zamir, A.[Amir],
MultiMAE: Multi-modal Multi-task Masked Autoencoders,
ECCV22(XXXVII:348-367).
Springer DOI
2211
BibRef
He, K.M.[Kai-Ming],
Chen, X.L.[Xin-Lei],
Xie, S.[Saining],
Li, Y.[Yanghao],
Dollár, P.[Piotr],
Girshick, R.[Ross],
Masked Autoencoders Are Scalable Vision Learners,
CVPR22(15979-15988)
IEEE DOI
2210
Training, Couplings, Computational modeling,
Data models, Pattern recognition, Representation learning,
Self- semi- meta- unsupervised learning
BibRef
Fei, Z.C.[Zheng-Cong],
Fan, M.Y.[Ming-Yuan],
Zhu, L.[Li],
Huang, J.S.[Jun-Shi],
Wei, X.M.[Xiao-Ming],
Wei, X.L.[Xiao-Lin],
Masked Auto-Encoders Meet Generative Adversarial Networks and Beyond,
CVPR23(24449-24459)
IEEE DOI
2309
BibRef
Chapter on Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms continues in
Bayesian Learning, Bayes Network, Bayesian Networks .