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Multimodal Co-learning: Challenges, Applications with Datasets, Recent
  Advances and Future Directions

Multimodal Co-learning: Challenges, Applications with Datasets, Recent Advances and Future Directions

29 July 2021
Anil Rahate
Rahee Walambe
S. Ramanna
K. Kotecha
ArXivPDFHTML

Papers citing "Multimodal Co-learning: Challenges, Applications with Datasets, Recent Advances and Future Directions"

17 / 17 papers shown
Title
Synergy-CLIP: Extending CLIP with Multi-modal Integration for Robust Representation Learning
Synergy-CLIP: Extending CLIP with Multi-modal Integration for Robust Representation Learning
Sangyeon Cho
Jangyeong Jeon
Mingi Kim
Junyeong Kim
CLIP
VLM
76
0
0
30 Apr 2025
Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning
Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning
Yibo Yan
Shen Wang
Jiahao Huo
Jingheng Ye
Zhendong Chu
Xuming Hu
Philip S. Yu
Carla P. Gomes
B. Selman
Qingsong Wen
LRM
127
9
0
05 Feb 2025
DoubleMLDeep: Estimation of Causal Effects with Multimodal Data
DoubleMLDeep: Estimation of Causal Effects with Multimodal Data
Sven Klaassen
Jan Teichert-Kluge
Philipp Bach
Victor Chernozhukov
Martin Spindler
Suhas Vijaykumar
BDL
CML
18
6
0
01 Feb 2024
BreastRegNet: A Deep Learning Framework for Registration of Breast
  Faxitron and Histopathology Images
BreastRegNet: A Deep Learning Framework for Registration of Breast Faxitron and Histopathology Images
Negar Golestani
Aihui Wang
Gregory R Bean
M. Rusu
MedIm
23
1
0
18 Jan 2024
Shared and Private Information Learning in Multimodal Sentiment Analysis
  with Deep Modal Alignment and Self-supervised Multi-Task Learning
Shared and Private Information Learning in Multimodal Sentiment Analysis with Deep Modal Alignment and Self-supervised Multi-Task Learning
Songning Lai
Jiakang Li
Guinan Guo
Xifeng Hu
Yulong Li
...
Yutong Liu
Zhaoxia Ren
Chun Wan
Danmin Miao
Zhi Liu
SSL
36
9
0
15 May 2023
Patchwork Learning: A Paradigm Towards Integrative Analysis across
  Diverse Biomedical Data Sources
Patchwork Learning: A Paradigm Towards Integrative Analysis across Diverse Biomedical Data Sources
Suraj Rajendran
Weishen Pan
M. Sabuncu
Yong Chen
Jiayu Zhou
Fei Wang
54
14
0
10 May 2023
Fusion for Visual-Infrared Person ReID in Real-World Surveillance Using
  Corrupted Multimodal Data
Fusion for Visual-Infrared Person ReID in Real-World Surveillance Using Corrupted Multimodal Data
Arthur Josi
Mahdi Alehdaghi
Rafael M. O. Cruz
Eric Granger
16
2
0
29 Apr 2023
Cross-modal Audio-visual Co-learning for Text-independent Speaker
  Verification
Cross-modal Audio-visual Co-learning for Text-independent Speaker Verification
Meng Liu
Kong Aik Lee
Longbiao Wang
Hanyi Zhang
Chang Zeng
J. Dang
23
10
0
22 Feb 2023
GaitFi: Robust Device-Free Human Identification via WiFi and Vision
  Multimodal Learning
GaitFi: Robust Device-Free Human Identification via WiFi and Vision Multimodal Learning
Lang Deng
Jianfei Yang
Shenghai Yuan
Han Zou
Chris Xiaoxuan Lu
Lihua Xie
CVBM
32
42
0
30 Aug 2022
Multimodal Learning with Transformers: A Survey
Multimodal Learning with Transformers: A Survey
P. Xu
Xiatian Zhu
David A. Clifton
ViT
52
525
0
13 Jun 2022
Visuo-Haptic Object Perception for Robots: An Overview
Visuo-Haptic Object Perception for Robots: An Overview
Nicolás Navarro-Guerrero
Sibel Toprak
Josip Josifovski
L. Jamone
24
35
0
22 Mar 2022
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
248
577
0
22 Apr 2021
Deep Co-Attention Network for Multi-View Subspace Learning
Deep Co-Attention Network for Multi-View Subspace Learning
Lecheng Zheng
Y. Cheng
Hongxia Yang
Nan Cao
Jingrui He
29
32
0
15 Feb 2021
Combating noisy labels by agreement: A joint training method with
  co-regularization
Combating noisy labels by agreement: A joint training method with co-regularization
Hongxin Wei
Lei Feng
Xiangyu Chen
Bo An
NoLa
313
498
0
05 Mar 2020
A Survey on Bias and Fairness in Machine Learning
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi
Fred Morstatter
N. Saxena
Kristina Lerman
Aram Galstyan
SyDa
FaML
323
4,212
0
23 Aug 2019
Robust Student Network Learning
Robust Student Network Learning
Tianyu Guo
Chang Xu
Shiyi He
Boxin Shi
Chao Xu
Dacheng Tao
OOD
34
30
0
30 Jul 2018
Conditional Image Synthesis With Auxiliary Classifier GANs
Conditional Image Synthesis With Auxiliary Classifier GANs
Augustus Odena
C. Olah
Jonathon Shlens
GAN
238
3,190
0
30 Oct 2016
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