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Self-Supervised Multimodal Learning: A Survey

Self-Supervised Multimodal Learning: A Survey

31 March 2023
Yongshuo Zong
Oisin Mac Aodha
Timothy M. Hospedales
    SSL
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Papers citing "Self-Supervised Multimodal Learning: A Survey"

23 / 23 papers shown
Title
Uncertainty-Weighted Image-Event Multimodal Fusion for Video Anomaly Detection
Uncertainty-Weighted Image-Event Multimodal Fusion for Video Anomaly Detection
SungHeon Jeong
Jihong Park
Mohsen Imani
43
0
0
05 May 2025
TGV: Tabular Data-Guided Learning of Visual Cardiac Representations
TGV: Tabular Data-Guided Learning of Visual Cardiac Representations
Marta Hasny
Maxime Di Folco
Keno Bressem
Julia A. Schnabel
33
0
0
19 Mar 2025
What to align in multimodal contrastive learning?
What to align in multimodal contrastive learning?
Benoit Dufumier
J. Castillo-Navarro
D. Tuia
Jean-Philippe Thiran
22
3
0
11 Sep 2024
OmniSat: Self-Supervised Modality Fusion for Earth Observation
OmniSat: Self-Supervised Modality Fusion for Earth Observation
Guillaume Astruc
Nicolas Gonthier
Clement Mallet
Loic Landrieu
23
23
0
12 Apr 2024
Foundational Models Defining a New Era in Vision: A Survey and Outlook
Foundational Models Defining a New Era in Vision: A Survey and Outlook
Muhammad Awais
Muzammal Naseer
Salman Khan
Rao Muhammad Anwer
Hisham Cholakkal
M. Shah
Ming Yang
F. Khan
VLM
13
116
0
25 Jul 2023
Vision Learners Meet Web Image-Text Pairs
Vision Learners Meet Web Image-Text Pairs
Bingchen Zhao
Quan Cui
Hao Wu
Osamu Yoshie
Cheng Yang
Oisin Mac Aodha
VLM
11
5
0
17 Jan 2023
Pix2Struct: Screenshot Parsing as Pretraining for Visual Language
  Understanding
Pix2Struct: Screenshot Parsing as Pretraining for Visual Language Understanding
Kenton Lee
Mandar Joshi
Iulia Turc
Hexiang Hu
Fangyu Liu
Julian Martin Eisenschlos
Urvashi Khandelwal
Peter Shaw
Ming-Wei Chang
Kristina Toutanova
CLIP
VLM
148
259
0
07 Oct 2022
Linearly Mapping from Image to Text Space
Linearly Mapping from Image to Text Space
Jack Merullo
Louis Castricato
Carsten Eickhoff
Ellie Pavlick
VLM
159
104
0
30 Sep 2022
Diffusion Models: A Comprehensive Survey of Methods and Applications
Diffusion Models: A Comprehensive Survey of Methods and Applications
Ling Yang
Zhilong Zhang
Yingxia Shao
Shenda Hong
Runsheng Xu
Yue Zhao
Wentao Zhang
Bin Cui
Ming-Hsuan Yang
DiffM
MedIm
213
1,277
0
02 Sep 2022
Robustness Analysis of Video-Language Models Against Visual and Language
  Perturbations
Robustness Analysis of Video-Language Models Against Visual and Language Perturbations
Madeline Chantry Schiappa
Shruti Vyas
Hamid Palangi
Y. S. Rawat
Vibhav Vineet
VLM
106
17
0
05 Jul 2022
HiP: Hierarchical Perceiver
HiP: Hierarchical Perceiver
João Carreira
Skanda Koppula
Daniel Zoran
Adrià Recasens
Catalin Ionescu
...
M. Botvinick
Oriol Vinyals
Karen Simonyan
Andrew Zisserman
Andrew Jaegle
VLM
18
14
0
22 Feb 2022
BLIP: Bootstrapping Language-Image Pre-training for Unified
  Vision-Language Understanding and Generation
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
Junnan Li
Dongxu Li
Caiming Xiong
S. Hoi
MLLM
BDL
VLM
CLIP
382
4,010
0
28 Jan 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Jason W. Wei
Xuezhi Wang
Dale Schuurmans
Maarten Bosma
Brian Ichter
F. Xia
Ed H. Chi
Quoc Le
Denny Zhou
LM&Ro
LRM
AI4CE
ReLM
315
8,261
0
28 Jan 2022
PointCLIP: Point Cloud Understanding by CLIP
PointCLIP: Point Cloud Understanding by CLIP
Renrui Zhang
Ziyu Guo
Wei Zhang
Kunchang Li
Xupeng Miao
Bin Cui
Yu Qiao
Peng Gao
Hongsheng Li
VLM
3DPC
161
428
0
04 Dec 2021
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
7,337
0
11 Nov 2021
CrossCLR: Cross-modal Contrastive Learning For Multi-modal Video
  Representations
CrossCLR: Cross-modal Contrastive Learning For Multi-modal Video Representations
Mohammadreza Zolfaghari
Yi Zhu
Peter V. Gehler
Thomas Brox
114
122
0
30 Sep 2021
VideoCLIP: Contrastive Pre-training for Zero-shot Video-Text
  Understanding
VideoCLIP: Contrastive Pre-training for Zero-shot Video-Text Understanding
Hu Xu
Gargi Ghosh
Po-Yao (Bernie) Huang
Dmytro Okhonko
Armen Aghajanyan
Florian Metze
Luke Zettlemoyer
Florian Metze Luke Zettlemoyer Christoph Feichtenhofer
CLIP
VLM
245
554
0
28 Sep 2021
Advancing Self-supervised Monocular Depth Learning with Sparse LiDAR
Advancing Self-supervised Monocular Depth Learning with Sparse LiDAR
Ziyue Feng
Longlong Jing
Peng Yin
Yingli Tian
Bing Li
MDE
SSL
39
28
0
20 Sep 2021
VATT: Transformers for Multimodal Self-Supervised Learning from Raw
  Video, Audio and Text
VATT: Transformers for Multimodal Self-Supervised Learning from Raw Video, Audio and Text
Hassan Akbari
Liangzhe Yuan
Rui Qian
Wei-Hong Chuang
Shih-Fu Chang
Yin Cui
Boqing Gong
ViT
231
573
0
22 Apr 2021
CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip
  Retrieval
CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip Retrieval
Huaishao Luo
Lei Ji
Ming Zhong
Yang Chen
Wen Lei
Nan Duan
Tianrui Li
CLIP
VLM
303
771
0
18 Apr 2021
Zero-Shot Text-to-Image Generation
Zero-Shot Text-to-Image Generation
Aditya A. Ramesh
Mikhail Pavlov
Gabriel Goh
Scott Gray
Chelsea Voss
Alec Radford
Mark Chen
Ilya Sutskever
VLM
253
4,735
0
24 Feb 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
Decoupling the Role of Data, Attention, and Losses in Multimodal
  Transformers
Decoupling the Role of Data, Attention, and Losses in Multimodal Transformers
Lisa Anne Hendricks
John F. J. Mellor
R. Schneider
Jean-Baptiste Alayrac
Aida Nematzadeh
75
110
0
31 Jan 2021
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