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Camouflaged object detection (COD) aims to segment camouflaged objects hiding in the environment, which is challenging due to the similar appearance of camouflaged objects and their surroundings.
Concealing-coloration in the animal kingdom: an exposition of the laws of disguise through color and pattern
Gerald Handerson Thayer · 1918
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Models and metrics for signature strength evaluation of camouflaged targets
Anthony C Copeland and Mohan M Trivedi · 1997
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Convexity-based visual camouflage breaking
Ariel Tankus and Yehezkel Yeshurun · 2001
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Plant coloration undermines herbivorous insect camouflage
Simcha Lev-Yadun, Amots Dafni, Moshe A Flaishman, Moshe Inbar, Ido Izhaki, Gadi Katzir, and Gidi Ne’eman · 2004
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Camouflage defect identification: a novel approach
Nagappa U Bhajantri and P Nagabhushan · 2006
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A review of cuttlefish camouflage and object recognition and evidence for depth perception
Emma J Kelman, Daniel Osorio, and Roland J Baddeley · 2008
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Indoor scene segmentation using a structured light sensor
Nathan Silberman and Rob Fergus · 2011
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Learning hierarchical features for scene labeling
Clement Farabet, Camille Couprie, Laurent Najman, and Yann LeCun · 2012
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Leveraging stereopsis for saliency analysis
Yuzhen Niu, Yujie Geng, Xueqing Li, and Feng Liu · 2012
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RGB-(D) scene labeling: Features and algorithms
Xiaofeng Ren, Liefeng Bo, and Dieter Fox · 2012
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Perceptual organization and recognition of indoor scenes from RGB-D images
Saurabh Gupta, Pablo Arbelaez, and Jitendra Malik · 2013
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Depth enhanced saliency detection method
Yupeng Cheng, Huazhu Fu, Xingxing Wei, Jiangjian Xiao, and Xiaochun Cao · 2014
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Generative adversarial nets
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
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RGBD salient object detection: A benchmark and algorithms
Houwen Peng, Bing Li, Weihua Xiong, Weiming Hu, and Rongrong Ji · 2014
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Semantic segmentation of RGBD images with mutex constraints
Zhuo Deng, Sinisa Todorovic, and Longin Jan Latecki · 2015
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Camouflage texture evaluation using a saliency map
Xue Feng, Cui Guoying, Hong Richang, and Gu Jing · 2015
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Depth-aware salient object detection using anisotropic center-surround difference
Ran Ju, Yang Liu, Tongwei Ren, Ling Ge, and Gangshan Wu · 2015
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Fully convolutional networks for semantic segmentation
Jonathan Long, Evan Shelhamer, and Trevor Darrell · 2015
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Hiding in plain sight: a study on camouflage and habitat selection in a slow-moving desert herbivore
Melia G Nafus, Jennifer M Germano, Jeanette A Perry, Brian D Todd, Allyson Walsh, and Ronald R Swaisgood · 2015
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Three-dimensional camouflage: exploiting photons to conceal form
Olivier Penacchio, P George Lovell, Innes C Cuthill, Graeme D Ruxton, and Julie M Harris · 2015
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Exploiting global priors for RGB-D saliency detection
Jianqiang Ren, Xiaojin Gong, Lu Yu, Wenhui Zhou, and Michael Ying Yang · 2015
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U-Net: Convolutional networks for biomedical image segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
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Local background enclosure for RGB-D salient object detection
David Feng, Nick Barnes, Shaodi You, and Chris McCarthy · 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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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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You only look once: Unified, real-time object detection
Joseph Redmon, Santosh Divvala, Ross Girshick, and Ali Farhadi · 2016
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Camouflage performance analysis and evaluation framework based on features fusion
Feng Xue, Chengxi Yong, Shan Xu, Hao Dong, Yuetong Luo, and Wei Jia · 2016
Cited alongside, same era.
Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected CRFs
Liang-Chieh Chen, George Papandreou, Iasonas Kokkinos, Kevin Murphy, and Alan L Yuille · 2017
Cited alongside, same era.
Structure-measure: A new way to evaluate foreground maps
Deng-Ping Fan, Ming-Ming Cheng, Yun Liu, Tao Li, and Ali Borji · 2017
Cited alongside, same era.
Unsupervised monocular depth estimation with left-right consistency
Clément Godard, Oisin Mac Aodha, and Gabriel J. Brostow · 2017
Cited alongside, same era.
On calibration of modern neural networks
Chuan Guo, Geoff Pleiss, Yu Sun, and Kilian Q. Weinberger · 2017
Cited alongside, same era.
Mask R-CNN
Kaiming He, Georgia Gkioxari, Piotr Dollár, and Ross Girshick · 2017
Depth-induced multi-scale recurrent attention network for saliency detection
Yongri Piao, Wei Ji, Jingjing Li, Miao Zhang, and Huchuan Lu · 2019
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Background matching and disruptive coloration as habitat-specific strategies for camouflage
Natasha Price, Samuel Green, Jolyon Troscianko, Tom Tregenza, and Martin Stevens · 2019
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Self-supervised model adaptation for multimodal semantic segmentation
Abhinav Valada, Rohit Mohan, and Wolfram Burgard · 2019
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An experimental translocation identifies habitat features that buffer camouflage mismatch in snowshoe hares
Evan C Wilson, Amy A Shipley, Benjamin Zuckerberg, M Zachariah Peery, and Jonathan N Pauli · 2019
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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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Cited alongside, same era.
What uncertainties do we need in bayesian deep learning for computer vision?
Alex Kendall and Yarin Gal · 2017
Cited alongside, same era.
Simple and scalable predictive uncertainty estimation using deep ensembles
Balaji Lakshminarayanan, Alexander Pritzel, and Charles Blundell · 2017
Cited alongside, same era.
Cascaded feature network for semantic segmentation of RGB-D images
Di Lin, Guangyong Chen, Daniel Cohen-Or, Pheng-Ann Heng, and Hui Huang · 2017
Cited alongside, same era.
RDFNet: RGB-D multi-level residual feature fusion for indoor semantic segmentation
Seong-Jin Park, Ki-Sang Hong, and Seungyong Lee · 2017
Cited alongside, same era.
RGB-D salient object detection via minimum barrier distance transform and saliency fusion
Anzhi Wang and Minghui Wang · 2017
Cited alongside, same era.
Progressively complementarity-aware fusion network for RGB-D salient object detection
Hao Chen and Youfu Li · 2018
Cited alongside, same era.
Deng-Ping Fan, Ge-Peng Ji, Tao Zhou, Geng Chen, Huazhu Fu, Jianbing Shen, and Ling Shao · 2020
Later among the works it cites.
Rethinking RGB-D salient object detection: models, datasets, and large-scale benchmarks
Deng-Ping Fan, Zheng Lin, Zhao Zhang, Menglong Zhu, and Ming-Ming Cheng · 2020
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BBS-Net: RGB-D salient object detection with a bifurcated backbone strategy network
Deng-Ping Fan, Yingjie Zhai, Ali Borji, Jufeng Yang, and Ling Shao · 2020
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JL-DCF: Joint learning and densely-cooperative fusion framework for RGB-D salient object detection
Keren Fu, Deng-Ping Fan, Ge-Peng Ji, and Qijun Zhao · 2020
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A platform for initial testing of multiple camouflage patterns
Joanna R Hall, Olivia Matthews, Timothy N Volonakis, Eric Liggins, Karl P Lymer, Roland Baddeley, Innes C Cuthill, and Nicholas E Scott-Samuel · 2020
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SDE-Net: Equipping deep neural networks with uncertainty estimates
Lingkai Kong, Jimeng Sun, and Chao Zhang · 2020
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Learning selective self-mutual attention for RGB-D saliency detection
Nian Liu, Ni Zhang, and Junwei Han · 2020
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Bi-directional cross-modality feature propagation with separation-and-aggregation gate for RGB-D semantic segmentation
Chen Qian, Hongsheng Li, and Gang Zeng · 2020
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Towards robust monocular depth estimation: Mixing datasets for zero-shot cross-dataset transfer
René Ranftl, Katrin Lasinger, David Hafner, Konrad Schindler, and Vladlen Koltun · 2020
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Mirrornet: Bio-inspired adversarial attack for camouflaged object segmentation
Jinnan Yan, Trung-Nghia Le, Khanh-Duy Nguyen, Minh-Triet Tran, Thanh-Toan Do, and Tam V Nguyen · 2020
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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
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Select, supplement and focus for RGB-D saliency detection
Miao Zhang, Weisong Ren, Yongri Piao, Zhengkun Rong, and Huchuan Lu · 2020
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Towards accurate camouflaged object detection with mixture convolution and interactive fusion
Bo Dong, Mingchen Zhuge, Yongxiong Wang, Hongbo Bi, and Geng Chen · 2021
Closest in time.
Concealed object detection
Deng-Ping Fan, Ge-Peng Ji, Ming-Ming Cheng, and Ling Shao · 2021
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Res2net: A new multi-scale backbone architecture
S. Gao, M. Cheng, K. Zhao, X. Zhang, M. Yang, and P. Torr · 2021
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Cross modal focal loss for RGBD face anti-spoofing
Anjith George and Sebastien Marcel · 2021
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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
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Camouflaged object segmentation with distraction mining
Haiyang Mei, Ge-Peng Ji, Ziqi Wei, Xin Yang, Xiaopeng Wei, and Deng-Ping Fan · 2021
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Real-time uncertainty estimation in computer vision via uncertainty-aware distribution distillation
Yichen Shen, Zhilu Zhang, Mert R Sabuncu, and Lin Sun · 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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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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