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A simple, efficient and scalable contrastive masked autoencoder for
  learning visual representations

A simple, efficient and scalable contrastive masked autoencoder for learning visual representations

30 October 2022
Shlok Kumar Mishra
Joshua Robinson
Huiwen Chang
David Jacobs
Aaron Sarna
Aaron Maschinot
Dilip Krishnan
    DiffM
ArXivPDFHTML

Papers citing "A simple, efficient and scalable contrastive masked autoencoder for learning visual representations"

26 / 26 papers shown
Title
Utilization of Neighbor Information for Image Classification with Different Levels of Supervision
Utilization of Neighbor Information for Image Classification with Different Levels of Supervision
Gihan Jayatilaka
Abhinav Shrivastava
M. Gwilliam
59
0
0
18 Mar 2025
ADROIT: A Self-Supervised Framework for Learning Robust Representations for Active Learning
S. Banerjee
Vinay K. Verma
SSL
61
0
0
10 Mar 2025
Toward Foundational Model for Sleep Analysis Using a Multimodal Hybrid Self-Supervised Learning Framework
Toward Foundational Model for Sleep Analysis Using a Multimodal Hybrid Self-Supervised Learning Framework
Cheol-Hui Lee
Hakseung Kim
Byung C. Yoon
Dong-Joo Kim
41
0
0
18 Feb 2025
STARS: Self-supervised Tuning for 3D Action Recognition in Skeleton
  Sequences
STARS: Self-supervised Tuning for 3D Action Recognition in Skeleton Sequences
Soroush Mehraban
Mohammad Javad Rajabi
Babak Taati
3DPC
27
0
0
15 Jul 2024
Bringing Masked Autoencoders Explicit Contrastive Properties for Point
  Cloud Self-Supervised Learning
Bringing Masked Autoencoders Explicit Contrastive Properties for Point Cloud Self-Supervised Learning
Bin Ren
Guofeng Mei
D. Paudel
Weijie Wang
Yawei Li
Mengyuan Liu
Rita Cucchiara
Luc Van Gool
N. Sebe
3DPC
43
7
0
08 Jul 2024
Harmony: A Joint Self-Supervised and Weakly-Supervised Framework for Learning General Purpose Visual Representations
Harmony: A Joint Self-Supervised and Weakly-Supervised Framework for Learning General Purpose Visual Representations
Mohammed Baharoon
Jonathan Klein
D. L. Michels
SSL
VLM
34
0
0
23 May 2024
Representing Part-Whole Hierarchies in Foundation Models by Learning
  Localizability, Composability, and Decomposability from Anatomy via
  Self-Supervision
Representing Part-Whole Hierarchies in Foundation Models by Learning Localizability, Composability, and Decomposability from Anatomy via Self-Supervision
M. Taher
Michael B. Gotway
Jianming Liang
MedIm
26
5
0
24 Apr 2024
NeuroNet: A Novel Hybrid Self-Supervised Learning Framework for Sleep
  Stage Classification Using Single-Channel EEG
NeuroNet: A Novel Hybrid Self-Supervised Learning Framework for Sleep Stage Classification Using Single-Channel EEG
Cheol-Hui Lee
Hakseung Kim
Hyun-jee Han
Min-Kyung Jung
Byung C. Yoon
Dong-Joo Kim
32
5
0
10 Apr 2024
Masked Modeling for Self-supervised Representation Learning on Vision
  and Beyond
Masked Modeling for Self-supervised Representation Learning on Vision and Beyond
Siyuan Li
Luyuan Zhang
Zedong Wang
Di Wu
Lirong Wu
...
Jun-Xiong Xia
Cheng Tan
Yang Liu
Baigui Sun
Stan Z. Li
SSL
29
13
0
31 Dec 2023
Morphing Tokens Draw Strong Masked Image Models
Morphing Tokens Draw Strong Masked Image Models
Taekyung Kim
Byeongho Heo
Dongyoon Han
44
3
0
30 Dec 2023
Pre-training with Random Orthogonal Projection Image Modeling
Pre-training with Random Orthogonal Projection Image Modeling
Maryam Haghighat
Peyman Moghadam
Shaheer Mohamed
Piotr Koniusz
VLM
18
8
0
28 Oct 2023
Learning with Unmasked Tokens Drives Stronger Vision Learners
Learning with Unmasked Tokens Drives Stronger Vision Learners
Taekyung Kim
Sanghyuk Chun
Byeongho Heo
Dongyoon Han
SSL
34
1
0
20 Oct 2023
Adaptive Multi-head Contrastive Learning
Adaptive Multi-head Contrastive Learning
Lei Wang
Piotr Koniusz
Tom Gedeon
Liang Zheng
26
4
0
09 Oct 2023
MOCA: Self-supervised Representation Learning by Predicting Masked
  Online Codebook Assignments
MOCA: Self-supervised Representation Learning by Predicting Masked Online Codebook Assignments
Spyros Gidaris
Andrei Bursuc
Oriane Siméoni
Antonín Vobecký
N. Komodakis
Matthieu Cord
Patrick Pérez
SSL
ViT
16
3
0
18 Jul 2023
Substance or Style: What Does Your Image Embedding Know?
Substance or Style: What Does Your Image Embedding Know?
Cyrus Rashtchian
Charles Herrmann
Chun-Sung Ferng
Ayan Chakrabarti
Dilip Krishnan
Deqing Sun
Da-Cheng Juan
Andrew Tomkins
23
6
0
10 Jul 2023
ViC-MAE: Self-Supervised Representation Learning from Images and Video
  with Contrastive Masked Autoencoders
ViC-MAE: Self-Supervised Representation Learning from Images and Video with Contrastive Masked Autoencoders
J. Hernandez
Ruben Villegas
Vicente Ordonez
SSL
29
2
0
21 Mar 2023
Efficient Masked Autoencoders with Self-Consistency
Efficient Masked Autoencoders with Self-Consistency
Zhaowen Li
Yousong Zhu
Zhiyang Chen
Wei Li
Chaoyang Zhao
Rui Zhao
Ming Tang
Jinqiao Wang
45
2
0
28 Feb 2023
MOMA:Distill from Self-Supervised Teachers
MOMA:Distill from Self-Supervised Teachers
Yuan Yao
Nandakishor Desai
M. Palaniswami
26
2
0
04 Feb 2023
Masked Autoencoding Does Not Help Natural Language Supervision at Scale
Masked Autoencoding Does Not Help Natural Language Supervision at Scale
Floris Weers
Vaishaal Shankar
Angelos Katharopoulos
Yinfei Yang
Tom Gunter
CLIP
18
4
0
19 Jan 2023
Attentive Mask CLIP
Attentive Mask CLIP
Yifan Yang
Weiquan Huang
Yixuan Wei
Houwen Peng
Xinyang Jiang
...
Fangyun Wei
Yin Wang
Han Hu
Lili Qiu
Yuqing Yang
CLIP
VLM
32
26
0
16 Dec 2022
Extreme Masking for Learning Instance and Distributed Visual
  Representations
Extreme Masking for Learning Instance and Distributed Visual Representations
Zhirong Wu
Zihang Lai
Xiao Sun
Stephen Lin
30
22
0
09 Jun 2022
Siamese Image Modeling for Self-Supervised Vision Representation
  Learning
Siamese Image Modeling for Self-Supervised Vision Representation Learning
Chenxin Tao
Xizhou Zhu
Weijie Su
Gao Huang
Bin Li
Jie Zhou
Yu Qiao
Xiaogang Wang
Jifeng Dai
SSL
32
94
0
02 Jun 2022
Decoder Denoising Pretraining for Semantic Segmentation
Decoder Denoising Pretraining for Semantic Segmentation
Emmanuel B. Asiedu
Simon Kornblith
Ting Chen
Niki Parmar
Matthias Minderer
Mohammad Norouzi
AI4CE
180
26
0
23 May 2022
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
258
7,412
0
11 Nov 2021
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
298
5,761
0
29 Apr 2021
Scaling Up Visual and Vision-Language Representation Learning With Noisy
  Text Supervision
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision
Chao Jia
Yinfei Yang
Ye Xia
Yi-Ting Chen
Zarana Parekh
Hieu H. Pham
Quoc V. Le
Yun-hsuan Sung
Zhen Li
Tom Duerig
VLM
CLIP
293
3,683
0
11 Feb 2021
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