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The missing modality issue is critical but non-trivial to be solved by multi-modal models.
Gradient-based learning applied to document recognition
Yann LeCun, Léon Bottou, Yoshua Bengio, and Patrick Haffner · 1998
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Autoencoders, unsupervised learning, and deep architectures
Pierre Baldi · 2012
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The multimodal brain tumor image segmentation benchmark (brats)
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Unsupervised domain adaptation by backpropagation
Yaroslav Ganin and Victor Lempitsky · 2015
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Preparing a collection of radiology examinations for distribution and retrieval
Dina Demner-Fushman, Marc D Kohli, Marc B Rosenman, Sonya E Shooshan, Laritza Rodriguez, Sameer Antani, George R Thoma, and Clement J McDonald · 2016
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Hemis: Hetero-modal image segmentation
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Sgdr: Stochastic gradient descent with warm restarts
Ilya Loshchilov and Frank Hutter · 2016
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Ask me anything: Free-form visual question answering based on knowledge from external sources
Qi Wu, Peng Wang, Chunhua Shen, Anthony Dick, and Anton Van Den Hengel · 2016
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Nesterov’s accelerated gradient and momentum as approximations to regularised update descent
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Multimodal mr synthesis via modality-invariant latent representation
Agisilaos Chartsias, Thomas Joyce, Mario Valerio Giuffrida, and Sotirios A Tsaftaris · 2017
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Unified subspace learning for incomplete and unlabeled multi-view data
Qiyue Yin, Shu Wu, and Liang Wang · 2017
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Spyridon Bakas, Mauricio Reyes, Andras Jakab, Stefan Bauer, Markus Rempfler, Alessandro Crimi, Russell Takeshi Shinohara, Christoph Berger, Sung Min Ha, Martin Rozycki, et al · 2018
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Diverse image-to-image translation via disentangled representations
Hsin-Ying Lee, Hung-Yu Tseng, Jia-Bin Huang, Maneesh Singh, and Ming-Hsuan Yang · 2018
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Learning cross-modality representations from multi-modal images
Gijs van Tulder and Marleen de Bruijne · 2018
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Centralnet: a multilayer approach for multimodal fusion
Valentin Vielzeuf, Alexis Lechervy, Stéphane Pateux, and Frédéric Jurie · 2018
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Robust multimodal brain tumor segmentation via feature disentanglement and gated fusion
Cheng Chen, Qi Dou, Yueming Jin, Hao Chen, Jing Qin, and Pheng-Ann Heng · 2019
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Hetero-modal variational encoder-decoder for joint modality completion and segmentation
Reuben Dorent, Samuel Joutard, Marc Modat, Sébastien Ourselin, and Tom Vercauteren · 2019
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Brain tumor segmentation on mri with missing modalities
Multi-modal self-supervision from generalized data transformations
Mandela Patrick, Yuki M Asano, Polina Kuznetsova, Ruth Fong, Joao F Henriques, Geoffrey Zweig, and Andrea Vedaldi · 2020
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Soft expert reward learning for vision-and-language navigation
Hu Wang, Qi Wu, and Chunhua Shen · 2020
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Deep multimodal fusion by channel exchanging
Yikai Wang, Wenbing Huang, Fuchun Sun, Tingyang Xu, Yu Rong, and Junzhou Huang · 2020
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Localizing visual sounds the hard way
Honglie Chen, Weidi Xie, Triantafyllos Afouras, Arsha Nagrani, Andrea Vedaldi, and Andrew Zisserman · 2021
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Trusted multi-view classification
Zongbo Han, Changqing Zhang, Huazhu Fu, and Joey Tianyi Zhou · 2021
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Yan Shen and Mingchen Gao · 2019
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Multi-sensor fusion in automated driving: A survey
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Unpaired multi-modal segmentation via knowledge distillation
Qi Dou, Quande Liu, Pheng Ann Heng, and Ben Glocker · 2020
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Generative adversarial networks
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2020
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Knowledge distillation from multi-modal to mono-modal segmentation networks
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Semi-supervised multi-view deep discriminant representation learning
Xiaodong Jia, Xiao-Yuan Jing, Xiaoke Zhu, Songcan Chen, Bo Du, Ziyun Cai, Zhenyu He, and Dong Yue · 2020
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Stochastic segmentation networks: Modelling spatially correlated aleatoric uncertainty
Miguel Monteiro, Loïc Le Folgoc, Daniel Coelho de Castro, Nick Pawlowski, Bernardo Marques, Konstantinos Kamnitsas, Mark van der Wilk, and Ben Glocker · 2020
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Smil: Multimodal learning with severely missing modality
Mengmeng Ma, Jian Ren, Long Zhao, Sergey Tulyakov, Cathy Wu, and Xi Peng · 2021
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Space-time crop & attend: Improving cross-modal video representation learning
Mandela Patrick, Po-Yao Huang, Ishan Misra, Florian Metze, Andrea Vedaldi, Yuki M Asano, and João F Henriques · 2021
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Acn: Adversarial co-training network for brain tumor segmentation with missing modalities
Yixin Wang, Yang Zhang, Yang Liu, Zihao Lin, Jiang Tian, Cheng Zhong, Zhongchao Shi, Jianping Fan, and Zhiqiang He · 2021
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Learning disentangled representations in the imaging domain
Xiao Liu, Pedro Sanchez, Spyridon Thermos, Alison Q O’Neil, and Sotirios A Tsaftaris · 2022
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Uncertainty-aware multi-modal learning via cross-modal random network prediction
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