Schwartz, E.[Eli],
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
Liu, X.[Xin],
Zhang, Y.T.[Yu-Ting],
Yu, Z.T.[Zi-Tong],
Lu, H.[Hao],
Yue, H.[Huanjing],
Yang, J.Y.[Jing-Yu],
rPPG-MAE: Self-Supervised Pretraining With Masked Autoencoders for
Remote Physiological Measurements,
MultMed(26), 2024, pp. 7278-7293.
IEEE DOI
2405
Videos, Signal to noise ratio, Physiology, Task analysis, Heart rate,
Feature extraction, Self-supervised learning, rPPG, self-supervised learning
BibRef
Gao, P.[Peng],
Lin, Z.[Ziyi],
Zhang, R.R.[Ren-Rui],
Fang, R.Y.[Rong-Yao],
Li, H.Y.[Hong-Yang],
Li, H.S.[Hong-Sheng],
Qiao, Y.[Yu],
Mimic before Reconstruct: Enhancing Masked Autoencoders with Feature
Mimicking,
IJCV(132), No. 5, May 2024, pp. 1546-1556.
Springer DOI
2405
BibRef
Huang, B.K.[Bing-Kun],
Zhao, Z.Y.[Zhi-Yu],
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
Quan, H.[Hao],
Li, X.Y.[Xing-Yu],
Chen, W.X.[Wei-Xing],
Bai, Q.[Qun],
Zou, M.C.[Ming-Chen],
Yang, R.J.[Rui-Jie],
Zheng, T.T.[Ting-Ting],
Qi, R.[Ruiqun],
Gao, X.H.[Xing-Hua],
Cui, X.Y.[Xiao-Yu],
Global contrast-masked autoencoders are powerful pathological
representation learners,
PR(156), 2024, pp. 110745.
Elsevier DOI Code:
WWW Link.
2408
Self-supervised learning, Representation learning, Pathological image
BibRef
Li, K.[Kang],
Zhu, Q.Q.[Qiu-Quan],
Wang, H.Y.[Hao-Yu],
Wang, S.[Shibo],
Tian, H.[He],
Zhou, P.[Ping],
Cao, X.[Xin],
PointUR-RL: Unified Self-Supervised Learning Method Based on Variable
Masked Autoencoder for Point Cloud Reconstruction and Representation
Learning,
RS(16), No. 16, 2024, pp. 3045.
DOI Link
2408
BibRef
Huang, W.[Wei],
Peng, Z.L.[Zhi-Liang],
Dong, L.[Li],
Wei, F.[Furu],
Ye, Q.X.[Qi-Xiang],
Jiao, J.B.[Jian-Bin],
Generic-to-Specific Distillation of Masked Autoencoders,
CirSysVideo(34), No. 9, September 2024, pp. 8779-8793.
IEEE DOI
2410
BibRef
Earlier: A1, A2, A3, A4, A6, A5:
CVPR23(15996-16005)
IEEE DOI
2309
Task analysis, Computational modeling, Transformers,
Predictive models, Feature extraction, Decoding,
heterogeneous-architecture distillation
BibRef
Miao, Z.W.[Zheng-Wei],
Luo, H.[Hui],
Liu, D.X.[Dong-Xu],
Zhang, J.L.[Jian-Lin],
Improving Visual Representations of Masked Autoencoders With
Artifacts Suppression,
SPLetters(31), 2024, pp. 2615-2619.
IEEE DOI
2410
Semantics, Visualization, Training, Decoding, Standards,
Semantic segmentation, Indexes, Artifacts, visual representations
BibRef
Li, Z.W.[Zhao-Wen],
Zhu, Y.[Yousong],
Chen, Z.Y.[Zhi-Yang],
Li, W.[Wei],
Zhao, R.[Rui],
Zhao, C.Y.[Chao-Yang],
Tang, M.[Ming],
Wang, J.Q.[Jin-Qiao],
Efficient Masked Autoencoders With Self-Consistency,
PAMI(46), No. 12, December 2024, pp. 8743-8757.
IEEE DOI
2411
Task analysis, Visualization, Training, Predictive models,
Image reconstruction, Semantics, Reliability, Image classification, transformer
BibRef
Wang, J.L.[Jian-Long],
Li, Y.Y.[Ying-Ying],
Quan, D.[Dou],
Hou, B.B.[Bei-Bei],
Wang, Z.[Zhensong],
Sima, H.F.[Hai-Feng],
Sun, J.[Junding],
MAPM: PolSAR Image Classification with Masked Autoencoder Based on
Position Prediction and Memory Tokens,
RS(16), No. 22, 2024, pp. 4280.
DOI Link
2412
BibRef
Li, J.Y.[Jia-Yang],
Jiang, J.J.[Jun-Jun],
Liang, P.W.[Peng-Wei],
Ma, J.Y.[Jia-Yi],
Nie, L.Q.[Li-Qiang],
MaeFuse: Transferring Omni Features With Pretrained Masked
Autoencoders for Infrared and Visible Image Fusion via Guided
Training,
IP(34), 2025, pp. 1340-1353.
IEEE DOI Code:
WWW Link.
2503
Feature extraction, Visualization, Training, Image fusion,
Data mining, Transformers, Semantics, Deep learning, Lighting,
guided training
BibRef
Li, Z.H.[Zhi-Hao],
Hou, B.[Biao],
Ma, S.[Siteng],
Wu, Z.T.[Zi-Tong],
Guo, X.[Xianpeng],
Ren, B.[Bo],
Jiao, L.C.[Li-Cheng],
Masked Angle-aware Autoencoder for Remote Sensing Images,
ECCV24(VIII: 260-278).
Springer DOI
2412
Code:
WWW Link.
BibRef
Hinojosa, C.[Carlos],
Liu, S.M.[Shu-Ming],
Ghanem, B.[Bernard],
Colormae: Exploring Data-independent Masking Strategies in Masked
Autoencoders,
ECCV24(XX: 432-449).
Springer DOI
2412
BibRef
Ren, B.[Bin],
Mei, G.F.[Guo-Feng],
Paudel, D.P.[Danda Pani],
Wang, W.J.[Wei-Jie],
Li, Y.[Yawei],
Liu, M.Y.[Meng-Yuan],
Cucchiara, R.[Rita],
Van Gool, L.J.[Luc J.],
Sebe, N.[Nicu],
Bringing Masked Autoencoders Explicit Contrastive Properties for Point
Cloud Self-supervised Learning,
ACCV24(VII: 56-75).
Springer DOI
2412
BibRef
Hernandez, J.[Jefferson],
Villegas, R.[Ruben],
Ordonez, V.[Vicente],
Vic-mae: Self-supervised Representation Learning from Images and Video
with Contrastive Masked Autoencoders,
ECCV24(IV: 444-463).
Springer DOI
2412
BibRef
Fan, D.[David],
Wang, J.[Jue],
Liao, S.[Shuai],
Zhang, Z.K.[Zhi-Kang],
Bhat, V.[Vimal],
Li, X.Y.[Xin-Yu],
Text-guided Video Masked Autoencoder,
ECCV24(V: 282-298).
Springer DOI
2412
BibRef
Wei, W.J.[Wei-Jie],
Nejadasl, F.K.[Fatemeh Karimi],
Gevers, T.[Theo],
Oswald, M.R.[Martin R.],
T-MAE: Temporal Masked Autoencoders for Point Cloud Representation
Learning,
ECCV24(XI: 178-195).
Springer DOI
2412
BibRef
Tran, M.[Minh],
Kim, Y.[Yelin],
Su, C.C.[Che-Chun],
Kuo, C.H.[Cheng-Hao],
Sun, M.[Min],
Soleymani, M.[Mohammad],
EX2EG-MAE: A Framework for Adaptation of Exocentric Video Masked
Autoencoders for Egocentric Social Role Understanding,
ECCV24(LXXX: 1-19).
Springer DOI
2412
BibRef
Zhang, A.[An],
Wang, H.[Han],
Wang, X.[Xiang],
Chua, T.S.[Tat-Seng],
Disentangling Masked Autoencoders for Unsupervised Domain
Generalization,
ECCV24(LXX: 126-151).
Springer DOI
2412
BibRef
Stoffl, L.[Lucas],
Bonnetto, A.[Andy],
d'Ascoli, S.[Stéphane],
Mathis, A.[Alexander],
Elucidating the Hierarchical Nature of Behavior with Masked
Autoencoders,
ECCV24(LXIV: 106-125Open Access).
Springer DOI
2412
BibRef
Lee, J.[Jaeseong],
Hyung, J.[Junha],
Jung, S.[Sohyun],
Choo, J.[Jaegul],
Selfswapper: Self-supervised Face Swapping via Shape Agnostic Masked
Autoencoder,
ECCV24(LV: 383-400).
Springer DOI
2412
BibRef
Haselhoff, A.[Anselm],
Trelenberg, K.[Kevin],
Küppers, F.[Fabian],
Schneider, J.[Jonas],
The Gaussian Discriminant Variational Autoencoder (GDVAE): A
Self-explainable Model with Counterfactual Explanations,
ECCV24(LIII: 305-322).
Springer DOI
2412
BibRef
Li, Y.L.[Yan-Long],
Madarasingha, C.[Chamara],
Thilakarathna, K.[Kanchana],
Diffpmae: Diffusion Masked Autoencoders for Point Cloud Reconstruction,
ECCV24(XLVI: 362-380).
Springer DOI
2412
BibRef
Eymaël, A.[Alexandre],
Vandeghen, R.[Renaud],
Cioppa, A.[Anthony],
Giancola, S.[Silvio],
Ghanem, B.[Bernard],
van Droogenbroeck, M.[Marc],
Efficient Image Pre-training with Siamese Cropped Masked Autoencoders,
ECCV24(XXIII: 348-366).
Springer DOI
2412
BibRef
Yin, K.[Kejia],
Rao, V.[Varshanth],
Jiang, R.[Ruowei],
Liu, X.D.[Xu-Dong],
Aarabi, P.[Parham],
Lindell, D.B.[David B.],
SCE-MAE: Selective Correspondence Enhancement with Masked Autoencoder
for Self-Supervised Landmark Estimation,
CVPR24(1313-1322)
IEEE DOI
2410
Systematics, Face recognition, Aggregates, Estimation,
Clustering algorithms, Self-supervised learning, MAE
BibRef
Zhang, X.[Xuzhe],
Wu, Y.H.[Yu-Hao],
Angelini, E.[Elsa],
Li, A.[Ang],
Guo, J.[Jia],
Rasmussen, J.M.[Jerod M.],
O'Connor, T.G.[Thomas G.],
Wadhwa, P.D.[Pathik D.],
Jackowski, A.P.[Andrea Parolin],
Li, H.[Hai],
Posner, J.[Jonathan],
Laine, A.F.[Andrew F.],
Wang, Y.[Yun],
MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous
Medical Image Segmentation Based on 3D Masked Autoencoding and
Pseudo-Labeling,
CVPR24(5851-5862)
IEEE DOI Code:
WWW Link.
2410
Image segmentation, Pediatrics, Reviews,
Magnetic resonance imaging, Computational modeling,
image segmentation
BibRef
Kraus, O.[Oren],
Kenyon-Dean, K.[Kian],
Saberian, S.[Saber],
Fallah, M.[Maryam],
McLean, P.[Peter],
Leung, J.[Jess],
Sharma, V.[Vasudev],
Khan, A.[Ayla],
Balakrishnan, J.[Jia],
Celik, S.[Safiye],
Beaini, D.[Dominique],
Sypetkowski, M.[Maciej],
Cheng, C.V.[Chi Vicky],
Morse, K.[Kristen],
Makes, M.[Maureen],
Mabey, B.[Ben],
Earnshaw, B.[Berton],
Masked Autoencoders for Microscopy are Scalable Learners of Cellular
Biology,
CVPR24(11757-11768)
IEEE DOI Code:
WWW Link.
2410
Training, Fourier transforms, Microscopy,
Biological system modeling, Computer architecture,
cell morphology
BibRef
Qiu, H.[Han],
Huang, J.X.[Jia-Xing],
Gao, P.[Peng],
Lu, L.W.[Le-Wei],
Zhang, X.Q.[Xiao-Qin],
Lu, S.J.[Shi-Jian],
Masked AutoDecoder is Effective Multi-Task Vision Generalist,
CVPR24(14152-14161)
IEEE DOI Code:
WWW Link.
2410
Computational modeling, Natural languages, Transformer cores,
Predictive models, Transformers, Multitasking, Decoding,
Masked AutoDecoder
BibRef
Pei, G.[Gensheng],
Chen, T.[Tao],
Jiang, X.[Xiruo],
Liu, H.F.[Hua-Feng],
Sun, Z.[Zeren],
Yao, Y.Z.[Ya-Zhou],
VideoMAC: Video Masked Autoencoders Meet ConvNets,
CVPR24(22733-22743)
IEEE DOI
2410
Representation learning, Visualization, Target tracking,
Self-supervised learning, Performance gain, Transformers
BibRef
Kukushkin, M.[Maksim],
Bogdan, M.[Martin],
Schmid, T.[Thomas],
BiMAE: A Bimodal Masked Autoencoder Architecture for Single-Label
Hyperspectral Image Classification,
PBVS24(2987-2996)
IEEE DOI
2410
Manifolds, Visualization, Costs, Scalability,
Self-supervised learning,
self-supervised learning
BibRef
Zhou, W.W.[Wei-Wei],
Lu, J.[Jiada],
Ling, C.[Chenkun],
Wang, W.F.[Wei-Feng],
Liu, S.W.[Shao-Wei],
Enhancing Emotion Recognition with Pre-trained Masked Autoencoders
and Sequential Learning,
ABAW24(4666-4672)
IEEE DOI
2410
Emotion recognition, Visualization, Refining, Estimation,
Transformers, Feature extraction
BibRef
Qiu, F.[Feng],
Du, H.M.[He-Ming],
Zhang, W.[Wei],
Liu, C.[Chen],
Li, L.[Lincheng],
Guo, T.C.[Tian-Chen],
Yu, X.[Xin],
Learning Transferable Compound Expressions from Masked AutoEncoder
Pretraining,
ABAW24(4733-4741)
IEEE DOI
2410
Measurement, Emotion recognition, Gold, Face recognition, Transforms,
Data models, affective behavior analysis, compound expression recognition
BibRef
Nguyen, X.B.[Xuan-Bach],
Nguyen, H.T.[Hoang-Thien],
Nguyen, T.H.[Thanh-Huy],
Do, N.T.[Nhu-Tai],
Dinh, Q.V.[Quang Vinh],
Emotic Masked Autoencoder on Dual-views with Attention Fusion for
Facial Expression Recognition,
ABAW24(4784-4792)
IEEE DOI
2410
Training, Attention mechanisms, Computational modeling,
Face recognition, Refining, Focusing
BibRef
Zhang, K.[Kevin],
Shen, Z.Q.[Zhi-Qiang],
i-MAE: Are Latent Representations in Masked Autoencoders Linearly
Separable?,
ZeroShot24(7740-7749)
IEEE DOI
2410
Training, Measurement, Image recognition, Semantics,
Aerospace electronics, Latent Representations,
Linearly Separable
BibRef
Wei, Z.[Zihao],
Wei, C.[Chen],
Mei, J.[Jieru],
Bai, Y.T.[Yu-Tong],
Wang, Z.[Zeyu],
Li, X.H.[Xian-Hang],
Zhu, H.[Hongru],
Wang, H.Y.[Hui-Yu],
Yuille, A.[Alan],
Zhou, Y.[Yuyin],
Xie, C.[Cihang],
Masked Autoencoders are Secretly Efficient Learners,
ECV24(7986-7995)
IEEE DOI
2410
Training, Costs, Computational modeling, Graphics processing units, Transformers
BibRef
Madan, N.[Neelu],
Ristea, N.C.[Nicolae-Catalin],
Nasrollahi, K.[Kamal],
Moeslund, T.B.[Thomas B.],
Ionescu, R.T.[Radu Tudor],
CL-MAE: Curriculum-Learned Masked Autoencoders,
WACV24(2480-2490)
IEEE DOI Code:
WWW Link.
2404
Training, Representation learning, Codes, Transfer learning,
Self-supervised learning, Complexity theory, Algorithms,
Image recognition and understanding
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
BibRef
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.L.[Xia-Lei],
Bagdanov, A.D.[Andrew D.],
Li, K.[Ke],
Cheng, M.M.[Ming-Ming],
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.L.[Alan L.],
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.L.[Guang-Lu],
Liu, B.X.[Bo-Xiao],
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
Zhou, A.[Aojun],
Li, Y.[Yang],
Qin, Z.P.[Zi-Peng],
Liu, J.B.[Jian-Bo],
Pan, J.T.[Jun-Ting],
Zhang, R.R.[Ren-Rui],
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.L.[Alan L.],
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.K.[Bing-Kun],
Zhao, Z.Y.[Zhi-Yu],
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
Zhang, R.R.[Ren-Rui],
Wang, L.H.[Liu-Hui],
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.L.[Alan L.],
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, 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 .