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How to identify and segment camouflaged objects from the background is challenging.
Texture segmentation by multiscale aggregation of filter responses and shape elements
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Hongxing Guo, Yaling Dou, Ting Tian, Jingli Zhou, and Shengsheng Yu · 2008
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Gerard Medioni · 2009
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Martin Stevens and Sami Merilaita · 2009
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Federico Perazzi, Philipp Krähenbühl, Yael Pritch, and Alexander Hornung · 2012
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Camouflage, detection and identification of moving targets
Joanna R Hall, Innes C Cuthill, Roland Baddeley, Adam J Shohet, and Nicholas E Scott-Samuel · 2013
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How to evaluate foreground maps?
Ran Margolin, Lihi Zelnik-Manor, and Ayellet Tal · 2014
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Very deep convolutional networks for large-scale image recognition
Karen Simonyan and Andrew Zisserman · 2015
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Holistically-nested edge detection
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Rethinking the inception architecture for computer vision
Christian Szegedy, Vincent Vanhoucke, Sergey Ioffe, Jon Shlens, and Zbigniew Wojna · 2016
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A bayesian approach to camouflaged moving object detection
Xiang Zhang, Ce Zhu, Shuai Wang, Yipeng Liu, and Mao Ye · 2016
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Structure-measure: A new way to evaluate foreground maps
Deng-Ping Fan, Ming-Ming Cheng, Yun Liu, Tao Li, and Ali Borji · 2017
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Imagenet classification with deep convolutional neural networks
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E Hinton · 2017
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Feature pyramid networks for object detection
Tsung-Yi Lin, Piotr Dollár, Ross Girshick, Kaiming He, Bharath Hariharan, and Serge Belongie · 2017
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Deeproadmapper: Extracting road topology from aerial images
Gellért Máttyus, Wenjie Luo, and Raquel Urtasun · 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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Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2018
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Enhanced-alignment measure for binary foreground map evaluation
Deng-Ping Fan, Cheng Gong, Yang Cao, Bo Ren, Ming-Ming Cheng, and Ali Borji · 2018
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Squeeze-and-excitation networks
Jie Hu, Li Shen, and Gang Sun · 2018
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Animal camouflage analysis: Chameleon database
Przemysław Skurowski, Hassan Abdulameer, J Błaszczyk, Tomasz Depta, Adam Kornacki, and P Kozieł · 2018
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Deeply supervised salient object detection with short connections
Qibin Hou, Ming-Ming Cheng, Xiaowei Hu, Ali Borji, Zhuowen Tu, and Philip Torr · 2019
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Anabranch network for camouflaged object segmentation
Trung-Nghia Le, Tam V Nguyen, Zhongliang Nie, Minh-Triet Tran, and Akihiro Sugimoto · 2019
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A simple pooling-based design for real-time salient object detection
Jiang-Jiang Liu, Qibin Hou, Ming-Ming Cheng, Jiashi Feng, and Jianmin Jiang · 2019
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Pytorch: An imperative style, high-performance deep learning library
Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, et al · 2019
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End-to-end object detection with transformers
Nicolas Carion, Francisco Massa, Gabriel Synnaeve, Nicolas Usunier, Alexander Kirillov, and Sergey Zagoruyko · 2020
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Segformer: Simple and efficient design for semantic segmentation with transformers
Enze Xie, Wenhai Wang, Zhiding Yu, Anima Anandkumar, Jose M Alvarez, and Ping Luo · 2021
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Co-scale conv-attentional image transformers
Weijian Xu, Yifan Xu, Tyler Chang, and Zhuowen Tu · 2021
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Uncertainty-guided transformer reasoning for camouflaged object detection
Fan Yang, Qiang Zhai, Xin Li, Rui Huang, Ao Luo, Hong Cheng, and Deng-Ping Fan · 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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Mutual graph learning for camouflaged object detection
Qiang Zhai, Xin Li, Fan Yang, Chenglizhao Chen, Hong Cheng, and Deng-Ping Fan · 2021
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Learning generative vision transformer with energy-based latent space for saliency prediction
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Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, et al · 2020
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Camouflaged object detection
Deng-Ping Fan, Ge-Peng Ji, Guolei Sun, Ming-Ming Cheng, Jianbing Shen, and Ling Shao · 2020
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Deep learning for generic object detection: A survey
Li Liu, Wanli Ouyang, Xiaogang Wang, Paul Fieguth, Jie Chen, Xinwang Liu, and Matti Pietikäinen · 2020
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Designing network design spaces
Ilija Radosavovic, Raj Prateek Kosaraju, Ross Girshick, Kaiming He, and Piotr Dollár · 2020
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Jing Zhang, Jianwen Xie, Nick Barnes, and Ping Li · 2021
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Rethinking semantic segmentation from a sequence-to-sequence perspective with transformers
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Masked-attention mask transformer for universal image segmentation
Bowen Cheng, Ishan Misra, Alexander G Schwing, Alexander Kirillov, and Rohit Girdhar · 2022
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Concealed object detection
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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 · 2022
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Fast camouflaged object detection via edge-based reversible re-calibration network
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Segment, magnify and reiterate: Detecting camouflaged objects the hard way
Qi Jia, Shuilian Yao, Yu Liu, Xin Fan, Risheng Liu, and Zhongxuan Luo · 2022
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Magnet: A camouflaged object detection network simulating the observation effect of a magnifier
Xinhao Jiang, Wei Cai, Zhili Zhang, Bo Jiang, Zhiyong Yang, and Xin Wang · 2022
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A convnet for the 2020s
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Boosting camouflaged object detection with dual-task interactive transformer
Zhengyi Liu, Zhili Zhang, and Wei Wu · 2022
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Zoom in and out: A mixed-scale triplet network for camouflaged object detection
Youwei Pang, Xiaoqi Zhao, Tian-Zhu Xiang, Lihe Zhang, and Huchuan Lu · 2022
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Pvt v2: Improved baselines with pyramid vision transformer
Wenhai Wang, Enze Xie, Xiang Li, Deng-Ping Fan, Kaitao Song, Ding Liang, Tong Lu, Ping Luo, and Ling Shao · 2022
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Volo: Vision outlooker for visual recognition
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Syed Waqas Zamir, Aditya Arora, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, and Ming-Hsuan Yang · 2022
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Preynet: Preying on camouflaged objects
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Tprnet: camouflaged object detection via transformer-induced progressive refinement network
Qiao Zhang, Yanliang Ge, Cong Zhang, and Hongbo Bi · 2022
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Detecting camouflaged object in frequency domain
Yijie Zhong, Bo Li, Lv Tang, Senyun Kuang, Shuang Wu, and Shouhong Ding · 2022
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Salient object detection via integrity learning
Mingchen Zhuge, Deng-Ping Fan, Nian Liu, Dingwen Zhang, Dong Xu, and Ling Shao · 2022
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Cubenet: X-shape connection for camouflaged object detection
Mingchen Zhuge, Xiankai Lu, Yiyou Guo, Zhihua Cai, and Shuhan Chen · 2022
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