Fetching the paper…
Reading the bibliography…
Super Resolution (SR) and Camouflaged Object Detection (COD) are two hot topics in computer vision with various joint applications.
Cubic convolution interpolation for digital image processing
Robert Keys · 1981
Earlier work this paper cites.
Image quality metrics: Psnr vs. ssim
Alain Hore and Djemel Ziou · 2010
Earlier work this paper cites.
Saliency filters: Contrast based filtering for salient region detection
Federico Perazzi, Philipp Krähenbühl, Yael Pritch, and Alexander Hornung · 2012
Earlier work this paper cites.
How to evaluate foreground maps?
Ran Margolin, Lihi Zelnik-Manor, and Ayellet Tal · 2014
Earlier work this paper cites.
Ntire 2017 challenge on single image super-resolution: Dataset and study
Eirikur Agustsson and Radu Timofte · 2017
Earlier work this paper cites.
Structure-measure: A new way to evaluate foreground maps
Deng-Ping Fan, Ming-Ming Cheng, Yun Liu, Tao Li, and Ali Borji · 2017
Earlier work this paper cites.
Photo-realistic single image super-resolution using a generative adversarial network
Christian Ledig, Lucas Theis, Ferenc Huszár, Jose Caballero, Andrew Cunningham, Alejandro Acosta, Andrew Aitken, Alykhan Tejani, Johannes Totz, Zehan Wang, et al · 2017
Earlier work this paper cites.
Enhanced deep residual networks for single image super-resolution
Bee Lim, Sanghyun Son, Heewon Kim, Seungjun Nah, and Kyoung Mu Lee · 2017
Earlier work this paper cites.
Esrgan: Enhanced super-resolution generative adversarial networks
Xintao Wang, Ke Yu, Shixiang Wu, Jinjin Gu, Yihao Liu, Chao Dong, Yu Qiao, and Chen Change Loy · 2018
Earlier work this paper cites.
Anabranch network for camouflaged object segmentation
Trung-Nghia Le, Tam V Nguyen, Zhongliang Nie, Minh-Triet Tran, and Akihiro Sugimoto · 2019
Earlier work this paper cites.
Efficientnet: Rethinking model scaling for convolutional neural networks
Mingxing Tan and Quoc Le · 2019
Cited alongside, same era.
Camouflaged object detection
Deng-Ping Fan, Ge-Peng Ji, Guolei Sun, Ming-Ming Cheng, Jianbing Shen, and Ling Shao · 2020
Cited alongside, same era.
Camouflaged object detection and tracking: A survey
Ajoy Mondal · 2020
Cited alongside, same era.
Uc-net: Uncertainty inspired rgb-d saliency detection via conditional variational autoencoders
Jing Zhang, Deng-Ping Fan, Yuchao Dai, Saeed Anwar, Fatemeh Sadat Saleh, Tong Zhang, and Nick Barnes · 2020
Cited alongside, same era.
Improving camouflaged object detection with the uncertainty of pseudo-edge labels
Nobukatsu Kajiura, Hong Liu, and Shin’ichi Satoh · 2021
Cited alongside, same era.
Swinir: Image restoration using swin transformer
Jingyun Liang, Jiezhang Cao, Guolei Sun, Kai Zhang, Luc Van Gool, and Radu Timofte · 2021
Mirrornet: Bio-inspired camouflaged object segmentation
Jinnan Yan, Trung-Nghia Le, Khanh-Duy Nguyen, Minh-Triet Tran, Thanh-Toan Do, and Tam V Nguyen · 2021
Later among the works it cites.
Mutual graph learning for camouflaged object detection
Qiang Zhai, Xin Li, Fan Yang, Chenglizhao Chen, Hong Cheng, and Deng-Ping Fan · 2021
Later among the works it cites.
Plug-and-play image restoration with deep denoiser prior
Kai Zhang, Yawei Li, Wangmeng Zuo, Lei Zhang, Luc Van Gool, and Radu Timofte · 2021
Later among the works it cites.
Boundary-guided camouflaged object detection
Yujia Sun, Shuo Wang, Chenglizhao Chen, and Tian-Zhu Xiang · 2022
Later among the works it cites.
Camoformer: Masked separable attention for camouflaged object detection
Bowen Yin, Xuying Zhang, Qibin Hou, Bo-Yuan Sun, Deng-Ping Fan, and Luc Van Gool · 2022
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
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
Cited alongside, same era.
Simultaneously localize, segment and rank the camouflaged objects
Yunqiu Lv, Jing Zhang, Yuchao Dai, Aixuan Li, Bowen Liu, Nick Barnes, and Deng-Ping Fan · 2021
Cited alongside, same era.
Camouflaged object segmentation with distraction mining
Haiyang Mei, Ge-Peng Ji, Ziqi Wei, Xin Yang, Xiaopeng Wei, and Deng-Ping Fan · 2021
Cited alongside, same era.
Context-aware cross-level fusion network for camouflaged object detection
Yujia Sun, Geng Chen, Tao Zhou, Yi Zhang, and Nian Liu · 2021
Cited alongside, same era.
Camouflaged object detection via context-aware cross-level fusion
Geng Chen, Si-Jie Liu, Yu-Jia Sun, Ge-Peng Ji, Ya-Feng Wu, and Tao Zhou
Cited in the paper.
Cross aggregation transformer for image restoration
Zheng Chen, Yulun Zhang, Jinjin Gu, Linghe Kong, Xin Yuan, et al
Cited in the paper.
Accurate image restoration with attention retractable transformer
Jiale Zhang, Yulun Zhang, Jinjin Gu, Yongbing Zhang, Linghe Kong, and Xin Yuan · 2022
Later among the works it cites.
Feature aggregation and propagation network for camouflaged object detection
Tao Zhou, Yi Zhou, Chen Gong, Jian Yang, and Yu Zhang · 2022
Later among the works it cites.
Cubenet: X-shape connection for camouflaged object detection
Mingchen Zhuge, Xiankai Lu, Yiyou Guo, Zhihua Cai, and Shuhan Chen · 2022
Later among the works it cites.
Deep gradient learning for efficient camouflaged object detection
Ge-Peng Ji, Deng-Ping Fan, Yu-Cheng Chou, Dengxin Dai, Alexander Liniger, and Luc Van Gool · 2023
Closest in time.