Fetching the paper…
Reading the bibliography…
With the rapid progression of deep learning technologies, multi-modality image fusion has become increasingly prevalent in object detection tasks.
Solid-state color night vision: Fusion of low-light visible and thermal infrared imagery
Allen Waxman, Mario Aguilar, David Fay, David Ireland, Joseph Racamato, William Ross, James Carrick, Alan Gove, Michael Seibert, Eugene Savoye, Robert Reich, and Barry Burke · 1999
Earlier work this paper cites.
A categorization of multiscale-decomposition-based image fusion schemes with a performance study for a digital camera application
Zhong Zhang and Rick S. Blum · 1999
Earlier work this paper cites.
A wavelet-based image fusion tutorial
Gonzalo Pajares and Jesús Manuel de la Cruz · 2004
Earlier work this paper cites.
Imagenet: A large-scale hierarchical image database
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei · 2009
Earlier work this paper cites.
Performance comparison of different multi-resolution transforms for image fusion
Shutao Li, Bin Yang, and Jianwen Hu · 2011
Earlier work this paper cites.
Group-sparse representation with dictionary learning for medical image denoising and fusion
Shutao Li, Haitao Yin, and Leyuan Fang · 2012
Earlier work this paper cites.
Adaptive fusion method of visible light and infrared images based on non-subsampled shearlet transform and fast non-negative matrix factorization
Weiwei Kong, Yang Lei, and Huaixun Zhao · 2014
Earlier work this paper cites.
Fusion method for infrared and visible images by using non-negative sparse representation
Jun Wang, Jinye Peng, Xiaoyi Feng, Guiqing He, and Jianping Fan · 2014
Earlier work this paper cites.
Learning visual features from large weakly supervised data
Armand Joulin, Laurens van der Maaten, Allan Jabri, and Nicolas Vasilache · 2015
Earlier work this paper cites.
Bilevel optimization with nonsmooth lower level problems
Peter Ochs, René Ranftl, Thomas Brox, and Thomas Pock · 2015
Earlier work this paper cites.
Learning visual n-grams from web data
Ang Li, Allan Jabri, Armand Joulin, and Laurens van der Maaten · 2016
Cited alongside, same era.
Multi-sensor image fusion based on fourth order partial differential equations
Durga Prasad Bavirisetti, Gang Xiao, and Gang Liu · 2017
Cited alongside, same era.
Multi-focus image fusion with a deep convolutional neural network
Yu Liu, Xun Chen, Hu Peng, and Zengfu Wang · 2017
Cited alongside, same era.
Multispectral object detection for autonomous vehicles
Karasawa Takumi, Kohei Watanabe, Qishen Ha, Antonio Tejero-De-Pablos, Yoshitaka Ushiku, and Tatsuya Harada · 2017
Cited alongside, same era.
Infrared and visible image fusion using a deep learning framework
Hui Li, Xiao-Jun Wu, and Josef Kittler · 2018
Cited alongside, same era.
Neural discrete representation learning, 2018
Learning visual representations with caption annotations
Mert Bulent Sariyildiz, Julien Perez, and Diane Larlus · 2020
Later among the works it cites.
Joint learning of localized representations from medical images and reports
Philip Müller, Georgios Kaissis, Congyu Zou, and Daniel Rueckert · 2021
Later among the works it cites.
Styleclip: Text-driven manipulation of stylegan imagery
Or Patashnik, Zongze Wu, Eli Shechtman, Daniel Cohen-Or, and Dani Lischinski · 2021
Later among the works it cites.
Learning transferable visual models from natural language supervision
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, Gretchen Krueger, and Ilya Sutskever · 2021
Later among the works it cites.
Drf: Disentangled representation for visible and infrared image fusion
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Aaron van den Oord, Oriol Vinyals, and Koray Kavukcuoglu · 2018
Cited alongside, same era.
Sparse representation based multi-sensor image fusion for multi-focus and multi-modality images: A review
Qiang Zhang, Yi Liu, Rick S. Blum, Jungong Han, and Dacheng Tao · 2018
Cited alongside, same era.
Densefuse: A fusion approach to infrared and visible images
Hui Li and Xiao-Jun Wu · 2019
Cited alongside, same era.
Virtex: Learning visual representations from textual annotations
Karan Desai and Justin Johnson · 2020
Cited alongside, same era.
Ddcgan: A dual-discriminator conditional generative adversarial network for multi-resolution image fusion
Jiayi Ma, Han Xu, Junjun Jiang, Xiaoguang Mei, and Xiao-Ping Zhang · 2020
Cited alongside, same era.
Smoa: Searching a modality-oriented architecture for infrared and visible image fusion
Jinyuan Liu, Yuhui Wu, Zhanbo Huang, Risheng Liu, and Xin Fan
Cited in the paper.
Target-aware dual adversarial learning and a multi-scenario multi-modality benchmark to fuse infrared and visible for object detection, 2022a
Jinyuan Liu, Xin Fan, Zhanbo Huang, Guanyao Wu, Risheng Liu, Wei Zhong, and Zhongxuan Luo
Cited in the paper.
Han Xu, Xinya Wang, and Jiayi Ma · 2021
Later among the works it cites.
Multi-modality image fusion for medical assistive technology management based on hybrid domain filtering
Bhawna Goyal, Ayush Dogra, Dawa Chyophel Lepcha, Deepika Koundal, Adi Alhudhaif, Fayadh Alenezi, and Sara A. Althubiti · 2022
Later among the works it cites.
Fusion from decomposition: A self-supervised decomposition approach for image fusion
Pengwei Liang, Junjun Jiang, Xianming Liu, and Jiayi Ma · 2022
Later among the works it cites.
Open-vocabulary one-stage detection with hierarchical visual-language knowledge distillation, 2022
Zongyang Ma, Guan Luo, Jin Gao, Liang Li, Yuxin Chen, Shaoru Wang, Congxuan Zhang, and Weiming Hu · 2022
Later among the works it cites.
U2fusion: A unified unsupervised image fusion network
Han Xu, Jiayi Ma, Junjun Jiang, Xiaojie Guo, and Haibin Ling · 2022
Later among the works it cites.
Multi-interactive feature learning and a full-time multi-modality benchmark for image fusion and segmentation, 2023
Jinyuan Liu, Zhu Liu, Guanyao Wu, Long Ma, Risheng Liu, Wei Zhong, Zhongxuan Luo, and Xin Fan · 2023
Closest in time.