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Image dehazing is a representative low-level vision task that estimates latent haze-free images from hazy images.
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Srinivasa G Narasimhan and Shree K Nayar · 2002
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Flaash, a modtran4-based atmospheric correction algorithm, its application and validation
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Frank Warmerdam · 2008
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Single image haze removal using dark channel prior
Kaiming He, Jian Sun, and Xiaoou Tang · 2010
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Rectified linear units improve restricted boltzmann machines
Vinod Nair and Geoffrey E Hinton · 2010
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Rectifier nonlinearities improve neural network acoustic models
Andrew L Maas, Awni Y Hannun, Andrew Y Ng, et al · 2013
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Dehazing using color-lines
Raanan Fattal · 2014
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A fast single image haze removal algorithm using color attenuation prior
Qingsong Zhu, Jiaming Mai, and Ling Shao · 2015
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U-net: Convolutional networks for biomedical image segmentation
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Batch normalization: Accelerating deep network training by reducing internal covariate shift
Sergey Ioffe and Christian Szegedy · 2015
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Non-local image dehazing
Dana Berman, Shai Avidan, et al · 2016
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Dehazenet: An end-to-end system for single image haze removal
Bolun Cai, Xiangmin Xu, Kui Jia, Chunmei Qing, and Dacheng Tao · 2016
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Single image dehazing via multi-scale convolutional neural networks
Wenqi Ren, Si Liu, Hua Zhang, Jinshan Pan, Xiaochun Cao, and Ming-Hsuan Yang · 2016
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Jimmy Lei Ba, Jamie Ryan Kiros, and Geoffrey E Hinton · 2016
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Gaussian error linear units (gelus)
Dan Hendrycks and Kevin Gimpel · 2016
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D-hazy: A dataset to evaluate quantitatively dehazing algorithms
Cosmin Ancuti, Codruta O Ancuti, and Christophe De Vleeschouwer · 2016
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Aod-net: All-in-one dehazing network
Boyi Li, Xiulian Peng, Zhangyang Wang, Jizheng Xu, and Dan Feng · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
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Searching for activation functions
Prajit Ramachandran, Barret Zoph, and Quoc V Le · 2017
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Hazerd: an outdoor scene dataset and benchmark for single image dehazing
Yanfu Zhang, Li Ding, and Gaurav Sharma · 2017
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Xception: Deep learning with depthwise separable convolutions
François Chollet · 2017
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Accurate, large minibatch sgd: Training imagenet in 1 hour
Priya Goyal, Piotr Dollár, Ross Girshick, Pieter Noordhuis, Lukasz Wesolowski, Aapo Kyrola, Andrew Tulloch, Yangqing Jia, and Kaiming He · 2017
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Sgdr: Stochastic gradient descent with warm restarts
Ilya Loshchilov and Frank Hutter · 2017
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Densely connected pyramid dehazing network
He Zhang and Vishal M Patel · 2018
Cited alongside, same era.
Gated fusion network for single image dehazing
Wenqi Ren, Lin Ma, Jiawei Zhang, Jinshan Pan, Xiaochun Cao, Wei Liu, and Ming-Hsuan Yang · 2018
Cited alongside, same era.
I-haze: a dehazing benchmark with real hazy and haze-free indoor images
Cosmin Ancuti, Codruta O Ancuti, Radu Timofte, and Christophe De Vleeschouwer · 2018
Cited alongside, same era.
O-haze: a dehazing benchmark with real hazy and haze-free outdoor images
Codruta O Ancuti, Cosmin Ancuti, Radu Timofte, and Christophe De Vleeschouwer · 2018
Cited alongside, same era.
Benchmarking single-image dehazing and beyond
Boyi Li, Wenqi Ren, Dengpan Fu, Dacheng Tao, Dan Feng, Wenjun Zeng, and Zhangyang Wang · 2018
Cited alongside, same era.
Dehazing for multispectral remote sensing images based on a convolutional neural network with the residual architecture
Pyramid vision transformer: A versatile backbone for dense prediction without convolutions
Wenhai Wang, Enze Xie, Xiang Li, Deng-Ping Fan, Kaitao Song, Ding Liang, Tong Lu, Ping Luo, and Ling Shao · 2021
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Tokens-to-token vit: Training vision transformers from scratch on imagenet
Li Yuan, Yunpeng Chen, Tao Wang, Weihao Yu, Yujun Shi, Zi-Hang Jiang, Francis EH Tay, Jiashi Feng, and Shuicheng Yan · 2021
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Rethinking attention with performers
Krzysztof Choromanski, Valerii Likhosherstov, David Dohan, Xingyou Song, Andreea Gane, Tamas Sarlos, Peter Hawkins, Jared Davis, Afroz Mohiuddin, Lukasz Kaiser, et al · 2021
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Early convolutions help transformers see better
Tete Xiao, Piotr Dollar, Mannat Singh, Eric Mintun, Trevor Darrell, and Ross Girshick · 2021
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Coatnet: Marrying convolution and attention for all data sizes
Zihang Dai, Hanxiao Liu, Quoc Le, and Mingxing Tan · 2021
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Manjun Qin, Fengying Xie, Wei Li, Zhenwei Shi, and Haopeng Zhang · 2018
Cited alongside, same era.
Shufflenet v2: Practical guidelines for efficient cnn architecture design
Ningning Ma, Xiangyu Zhang, Hai-Tao Zheng, and Jian Sun · 2018
Cited alongside, same era.
Griddehazenet: Attention-based multi-scale network for image dehazing
Xiaohong Liu, Yongrui Ma, Zhihao Shi, and Jun Chen · 2019
Cited alongside, same era.
Gated context aggregation network for image dehazing and deraining
Dongdong Chen, Mingming He, Qingnan Fan, Jing Liao, Liheng Zhang, Dongdong Hou, Lu Yuan, and Gang Hua · 2019
Cited alongside, same era.
Selective kernel networks
Xiang Li, Wenhai Wang, Xiaolin Hu, and Jian Yang · 2019
Cited alongside, same era.
Dense-haze: A benchmark for image dehazing with dense-haze and haze-free images
Codruta O Ancuti, Cosmin Ancuti, Mateu Sbert, and Radu Timofte · 2019
Cited alongside, same era.
Efficientnet: Rethinking model scaling for convolutional neural networks
Mingxing Tan and Quoc Le · 2019
Cited alongside, same era.
Swin transformer: Hierarchical vision transformer using shifted windows
Ze Liu, Yutong Lin, Yue Cao, Han Hu, Yixuan Wei, Zheng Zhang, Stephen Lin, and Baining Guo · 2021
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Shuffle transformer: Rethinking spatial shuffle for vision transformer
Zilong Huang, Youcheng Ben, Guozhong Luo, Pei Cheng, Gang Yu, and Bin Fu · 2021
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Glance-and-gaze vision transformer
Qihang Yu, Yingda Xia, Yutong Bai, Yongyi Lu, Alan L Yuille, and Wei Shen · 2021
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Cat: Cross attention in vision transformer
Hezheng Lin, Xing Cheng, Xiangyu Wu, Fan Yang, Dong Shen, Zhongyuan Wang, Qing Song, and Wei Yuan · 2021
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Regionvit: Regional-to-local attention for vision transformers
Chun-Fu Chen, Rameswar Panda, and Quanfu Fan · 2021
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Crossvit: Cross-attention multi-scale vision transformer for image classification
Chun-Fu Richard Chen, Quanfu Fan, and Rameswar Panda · 2021
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Twins: Revisiting the design of spatial attention in vision transformers
Xiangxiang Chu, Zhi Tian, Yuqing Wang, Bo Zhang, Haibing Ren, Xiaolin Wei, Huaxia Xia, and Chunhua Shen · 2021
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Pale transformer: A general vision transformer backbone with pale-shaped attention
Sitong Wu, Tianyi Wu, Haoru Tan, and Guodong Guo · 2021
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Focal attention for long-range interactions in vision transformers
Jianwei Yang, Chunyuan Li, Pengchuan Zhang, Xiyang Dai, Bin Xiao, Lu Yuan, and Jianfeng Gao · 2021
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Domain-aware unsupervised hyperspectral reconstruction for aerial image dehazing
Aditya Mehta, Harsh Sinha, Murari Mandal, and Pratik Narang · 2021
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An image is worth 16x16 words: Transformers for image recognition at scale
Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, et al · 2021
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Swinir: Image restoration using swin transformer
Jingyun Liang, Jiezhang Cao, Guolei Sun, Kai Zhang, Luc Van Gool, and Radu Timofte · 2021
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Localvit: Bringing locality to vision transformers
Yawei Li, Kai Zhang, Jiezhang Cao, Radu Timofte, and Luc Van Gool · 2021
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Hybrid local-global transformer for image dehazing
Dong Zhao, Jia Li, Hongyu Li, and Long Xu · 2021
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Cloud removal in remote sensing images using generative adversarial networks and sar-to-optical image translation
Faramarz Naderi Darbaghshahi, Mohammad Reza Mohammadi, and Mohsen Soryani · 2021
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Uniformer: Unified transformer for efficient spatiotemporal representation learning
Kunchang Li, Yali Wang, Peng Gao, Guanglu Song, Yu Liu, Hongsheng Li, and Yu Qiao · 2022
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How do vision transformers work?
Namuk Park and Songkuk Kim · 2022
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Crossformer: A versatile vision transformer hinging on cross-scale attention
Wenxiao Wang, Lu Yao, Long Chen, Binbin Lin, Deng Cai, Xiaofei He, and Wei Liu · 2022
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Cswin transformer: A general vision transformer backbone with cross-shaped windows
Xiaoyi Dong, Jianmin Bao, Dongdong Chen, Weiming Zhang, Nenghai Yu, Lu Yuan, Dong Chen, and Baining Guo · 2022
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Uformer: A general u-shaped transformer for image restoration
Zhendong Wang, Xiaodong Cun, Jianmin Bao, and Jianzhuang Liu · 2022
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Transweather: Transformer-based restoration of images degraded by adverse weather conditions
Jeya Maria Jose Valanarasu, Rajeev Yasarla, and Vishal M Patel · 2022
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A convnet for the 2020s
Zhuang Liu, Hanzi Mao, Chao-Yuan Wu, Christoph Feichtenhofer, Trevor Darrell, and Saining Xie · 2022
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