7.1.7.5 Camouflaged Object Detection, Camouflage

Chapter Contents (Back)
Camouflage.
See also Adversarial Attacks.
See also Dense Object Detection.

Song, G., Tang, S.Q.,
Method for Spectral Pattern-Recognition of Color Camouflage,
OptEng(36), No. 6, June 1997, pp. 1779-1781. 9706
BibRef

Camapum Wanderley, J.F.[Juliana F.], Fisher, M.H.[Mark H.],
Spatial-Feature Parametric Clustering Applied to Motion-Based Segmentation in Camouflage,
CVIU(85), No. 2, February 2002, pp. 144-157.
DOI Link 0210
BibRef
Earlier:
Segmentation using spatial-feature clustering from image sequences,
ICIP98(III: 799-803).
IEEE DOI 9810

See also Multiscale color invariants based on the human visual system. BibRef

Hou, D.D.[Dong-Dong], Zhang, W.M.[Wei-Ming], Yu, N.H.[Neng-Hai],
Image camouflage by reversible image transformation,
JVCIR(40, Part A), No. 1, 2016, pp. 225-236.
Elsevier DOI 1609
Image camouflage BibRef

Zhang, X., Zhu, C., Wang, S., Liu, Y., Ye, M.,
A Bayesian Approach to Camouflaged Moving Object Detection,
CirSysVideo(27), No. 9, September 2017, pp. 2001-2013.
IEEE DOI 1709
Adaptation models, Bayes methods, Computational modeling, Feature extraction, Hidden Markov models, Background subtraction, camouflage problem, BibRef

Mondal, A.[Ajoy], Ghosh, S.[Susmita], Ghosh, A.[Ashish],
Partially Camouflaged Object Tracking using Modified Probabilistic Neural Network and Fuzzy Energy based Active Contour,
IJCV(122), No. 1, March 2017, pp. 116-148.
Springer DOI 1702
BibRef

Li, S., Florencio, D., Li, W., Zhao, Y., Cook, C.,
A Fusion Framework for Camouflaged Moving Foreground Detection in the Wavelet Domain,
IP(27), No. 8, August 2018, pp. 3918-3930.
IEEE DOI 1806
BibRef
Earlier: A1, A2, A4, A5, A3:
Foreground detection in camouflaged scenes,
ICIP17(4247-4251)
IEEE DOI 1803
image fusion, image segmentation, image sequences, object detection, wavelet transforms, background models, wavelet transform. Correlation, Frequency-domain analysis, Image color analysis, Wavelet domain, Foreground detection, BibRef

Hou, D.D.[Dong-Dong], Qin, C.[Chuan], Yu, N.H.[Neng-Hai], Zhang, W.M.[Wei-Ming],
Reversible visual transformation via exploring the correlations within color images,
JVCIR(53), 2018, pp. 134-145.
Elsevier DOI 1805
Reversible visual transformation, Image camouflage, Image encryption, Reversible data hiding BibRef

Zheng, Y., Zhang, X., Wang, F., Cao, T., Sun, M., Wang, X.,
Detection of People With Camouflage Pattern Via Dense Deconvolution Network,
SPLetters(26), No. 1, January 2019, pp. 29-33.
IEEE DOI 1901
deconvolution, feature extraction, feedforward neural nets, image segmentation, natural scenes, object detection, spatial smoothness BibRef

Le, T.N.[Trung-Nghia], Nguyen, T.V.[Tam V.], Nie, Z.L.[Zhong-Liang], Tran, M.T.[Minh-Triet], Sugimoto, A.[Akihiro],
Anabranch network for camouflaged object segmentation,
CVIU(184), 2019, pp. 45-56.
Elsevier DOI 1906
Camouflaged object segmentation, Anabranch network BibRef

Escudero-Vińolo, M.[Marcos], Bescos, J.[Jesus],
Squeezing the DCT to Fight Camouflage,
JMIV(62), No. 2, February 2020, pp. 206-222.
Springer DOI 2002
BibRef

Mondal, A.[Ajoy],
Camouflaged Object Detection and Tracking: A Survey,
IJIG(20), No. 4, October 2020, pp. 2050028.
DOI Link 2011
BibRef

Xu, X.Q.[Xiu-Qi], Zhu, M.Y.[Ming-Yu], Yu, J.H.[Jin-Hao], Chen, S.H.[Shu-Han], Hu, X.L.[Xue-Long], Yang, Y.Q.[Yue-Quan],
Boundary guidance network for camouflage object detection,
IVC(114), 2021, pp. 104283.
Elsevier DOI 2109
Camouflaged object detection, Boundary guidance, Hierarchical-Split Convolution, Residual refinement BibRef

Shen, Y.[Ying], Li, J.[Jie], Lin, W.[Wenfu], Chen, L.Q.[Li-Qiong], Huang, F.[Feng], Wang, S.[Shu],
Camouflaged Target Detection Based on Snapshot Multispectral Imaging,
RS(13), No. 19, 2021, pp. xx-yy.
DOI Link 2110
BibRef

Ji, G.P.[Ge-Peng], Zhu, L.[Lei], Zhuge, M.C.[Ming-Chen], Fu, K.[Keren],
Fast Camouflaged Object Detection via Edge-based Reversible Re-calibration Network,
PR(123), 2022, pp. 108414.
Elsevier DOI 2112
Camouflaged Object Detection, Reversible Re-calibration Unit, Selective Edge Aggregation, NGES Priors BibRef

Le, T.N.[Trung-Nghia], Cao, Y.[Yubo], Nguyen, T.C.[Tan-Cong], Le, M.Q.[Minh-Quan], Nguyen, K.D.[Khanh-Duy], Do, T.T.[Thanh-Toan], Tran, M.T.[Minh-Triet], Nguyen, T.V.[Tam V.],
Camouflaged Instance Segmentation In-the-Wild: Dataset, Method, and Benchmark Suite,
IP(31), 2022, pp. 287-300.
IEEE DOI 2112
Image segmentation, Task analysis, Benchmark testing, Object segmentation, Image color analysis, Urban areas, Semantics, multimodal learning BibRef

Zhuge, M.C.[Ming-Chen], Lu, X.K.[Xian-Kai], Guo, Y.[Yiyou], Cai, Z.H.[Zhi-Hua], Chen, S.H.[Shu-Han],
CubeNet: X-shape connection for camouflaged object detection,
PR(127), 2022, pp. 108644.
Elsevier DOI 2205
Camouflaged object detection, Neural network, Edge guidance, Novel feature aggregation BibRef

Liu, Q.[Qiang], Xiang, X.[Xuyu], Qin, J.[Jiaohua], Tan, Y.[Yun], Zhang, Q.[Qin],
A Robust Coverless Steganography Scheme Using Camouflage Image,
CirSysVideo(32), No. 6, June 2022, pp. 4038-4051.
IEEE DOI 2206
Robustness, Convolutional neural networks, Receivers, Forestry, Computer science, Information technology, Elbow, image retrieval BibRef

Zhang, C.[Cong], Wang, K.[Kang], Bi, H.B.[Hong-Bo], Liu, Z.Q.[Zi-Qi], Yang, L.[Lina],
Camouflaged object detection via Neighbor Connection and Hierarchical Information Transfer,
CVIU(221), 2022, pp. 103450.
Elsevier DOI 2206
Deep learning, Camouflaged Object Detection, Salient Object Detection BibRef

Hupel, T.[Tobias], Stütz, P.[Peter],
Adopting Hyperspectral Anomaly Detection for Near Real-Time Camouflage Detection in Multispectral Imagery,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Bi, H.B.[Hong-Bo], Zhang, C.[Cong], Wang, K.[Kang], Tong, J.H.[Jing-Hui], Zheng, F.[Feng],
Rethinking Camouflaged Object Detection: Models and Datasets,
CirSysVideo(32), No. 9, September 2022, pp. 5708-5724.
IEEE DOI 2209
Object detection, Feature extraction, Visualization, Image color analysis, Task analysis, Optical imaging, deep learning BibRef

Chen, G.[Geng], Liu, S.J.[Si-Jie], Sun, Y.J.[Yu-Jia], Ji, G.P.[Ge-Peng], Wu, Y.F.[Ya-Feng], Zhou, T.[Tao],
Camouflaged Object Detection via Context-Aware Cross-Level Fusion,
CirSysVideo(32), No. 10, October 2022, pp. 6981-6993.
IEEE DOI 2210
Deep learning, Object detection, Computational modeling, Image segmentation, Task analysis, Object recognition, polyp segmentation BibRef

Li, P.[Peng], Yan, X.F.[Xue-Feng], Zhu, H.W.[Hong-Wei], Wei, M.Q.[Ming-Qiang], Zhang, X.P.[Xiao-Ping], Qin, J.[Jing],
FindNet: Can You Find Me? Boundary-and-Texture Enhancement Network for Camouflaged Object Detection,
IP(31), 2022, pp. 6396-6411.
IEEE DOI 2211
Codes, Convolution, Shape, Image color analysis, Fuses, Image edge detection, Semantics, FindNet, texture enhancement module BibRef

Zhou, T.[Tao], Zhou, Y.[Yi], Gong, C.[Chen], Yang, J.[Jian], Zhang, Y.[Yu],
Feature Aggregation and Propagation Network for Camouflaged Object Detection,
IP(31), 2022, pp. 7036-7047.
IEEE DOI 2212
Feature extraction, Decoding, Logic gates, Object detection, Task analysis, Fuses, Image color analysis, feature propagation BibRef

Ren, J.J.[Jing-Jing], Hu, X.W.[Xiao-Wei], Zhu, L.[Lei], Xu, X.[Xuemiao], Xu, Y.Y.[Yang-Yang], Wang, W.M.[Wei-Ming], Deng, Z.J.[Zi-Jun], Heng, P.A.[Pheng-Ann],
Deep Texture-Aware Features for Camouflaged Object Detection,
CirSysVideo(33), No. 3, March 2023, pp. 1157-1167.
IEEE DOI 2303
Feature extraction, Object detection, Convolution, Covariance matrices, Semantics, Deep learning, Data mining, texture-aware BibRef

Deng, B.Y.[Bin-Yue], Zhang, D.H.[Deng-Hui], Dong, F.[Fashan], Zhang, J.J.[Jun-Jian], Shafiq, M.[Muhammad], Gu, Z.Q.[Zhao-Quan],
Rust-Style Patch: A Physical and Naturalistic Camouflage Attacks on Object Detector for Remote Sensing Images,
RS(15), No. 4, 2023, pp. xx-yy.
DOI Link 2303
BibRef

Zhai, Q.[Qiang], Li, X.[Xin], Yang, F.[Fan], Jiao, Z.C.[Zhi-Cheng], Luo, P.[Ping], Cheng, H.[Hong], Liu, Z.C.[Zi-Cheng],
MGL: Mutual Graph Learning for Camouflaged Object Detection,
IP(32), 2023, pp. 1897-1910.
IEEE DOI 2303
Object detection, Task analysis, Image edge detection, Feature extraction, Cognition, Semantics, Representation learning, camouflaged object detection BibRef

Zhai, Q.[Qiang], Li, X.[Xin], Yang, F.[Fan], Chen, C.Z.[Chengli-Zhao], Cheng, H.[Hong], Fan, D.P.[Deng-Ping],
Mutual Graph Learning for Camouflaged Object Detection,
CVPR21(12992-13002)
IEEE DOI 2111
Codes, Image edge detection, Object detection, Feature extraction, Cognition, Data mining BibRef

Zhang, Y.[Yichi], Zhu, Z.J.[Zi-Jian], Su, H.[Hang], Zhu, J.[Jun], Zheng, S.[Shibao], He, Y.[Yuan], Xue, H.[Hui],
To make yourself invisible with Adversarial Semantic Contours,
CVIU(230), 2023, pp. 103659.
Elsevier DOI 2303
Adversarial examples, Sparse attacks, Object detection, Detection transformer BibRef

Liu, Y.[Yan], Zhang, K.[Kaihua], Zhao, Y.Q.[Ya-Qian], Chen, H.[Hu], Liu, Q.S.[Qing-Shan],
Bi-RRNet: Bi-level recurrent refinement network for camouflaged object detection,
PR(139), 2023, pp. 109514.
Elsevier DOI 2304
Camouflaged object detection, Convolutional neural networks, Recurrent refinement network, Dense prediction BibRef

Ye, Q.[Qian], Zhou, Y.Q.[Ya-Qin], Huo, G.Y.[Guan-Ying], Liu, Y.[Yan], Zhou, Y.[Yan], Li, Q.W.[Qing-Wu],
Reverse cross-refinement network for camouflaged object detection,
IVC(150), 2024, pp. 105218.
Elsevier DOI 2409
Camouflaged object detection, Cross refinement, Reverse guidance, Receptive field BibRef

Zhao, W.[Wenda], Xie, S.G.[Shi-Geng], Zhao, F.[Fan], He, Y.[You], Lu, H.C.[Hu-Chuan],
Nowhere to Disguise: Spot Camouflaged Objects via Saliency Attribute Transfer,
IP(32), 2023, pp. 3108-3120.
IEEE DOI 2306
Semantics, Object detection, Task analysis, Decoding, Context modeling, Bridges, Feeds, Camouflaged object detection, saliency attribute transfer BibRef

Zhang, Q.[Qiao], Sun, X.X.[Xiao-Xiao], Chen, Y.R.[Yu-Rui], Ge, Y.L.[Yan-Liang], Bi, H.B.[Hong-Bo],
Attention-induced semantic and boundary interaction network for camouflaged object detection,
CVIU(233), 2023, pp. 103719.
Elsevier DOI 2307
Deep learning, Camouflaged object detection, Feature interaction, Attention
See also TCRNet: A Trifurcated Cascaded Refinement Network for Salient Object Detection. BibRef

Zhang, Q.[Qing], Shi, Y.J.[Yan-Jiao], Zhang, X.Q.[Xue-Qin],
Attention and Boundary Guided Salient Object Detection,
PR(107), 2020, pp. 107484.
Elsevier DOI 2008
Salient object detection, Visual saliency, Feature learning, Fully convolutional neural network BibRef

Zhang, Q.[Qing], Yan, W.Q.[Wei-Qi], Zhao, Y.L.[Yi-Lin], Jin, Q.[Qi], Zhang, Y.[Yu],
AFINet: Camouflaged object detection via Attention Fusion and Interaction Network,
JVCIR(102), 2024, pp. 104208.
Elsevier DOI Code:
WWW Link. 2407
Camouflaged object detection, Cross-level feature fusion, Attention interaction and fusion, Boundary guidance BibRef

Ge, Y.L.[Yan-Liang], Ren, J.C.[Jun-Chao], Zhang, Q.[Qiao], He, M.[Min], Bi, H.B.[Hong-Bo], Zhang, C.[Cong],
Camouflaged Object Detection via Cross-Level Refinement and Interaction Network,
IVC(144), 2024, pp. 104973.
Elsevier DOI 2404
Camouflaged object detection, Semantic amplification, Cross-level refinement, Semantic-texture interaction BibRef

Zhang, Y.[Yi], Zhang, J.[Jing], Hamidouche, W.[Wassim], Deforges, O.[Olivier],
Predictive Uncertainty Estimation for Camouflaged Object Detection,
IP(32), 2023, pp. 3580-3591.
IEEE DOI 2307
Uncertainty, Estimation, Data models, Predictive models, Training, Computational modeling, Task analysis, Uncertainty estimation, camouflaged objects BibRef

Wu, J.[Jiesheng], Liang, W.[Weiyun], Hao, F.[Fangwei], Xu, J.[Jing],
Mask-and-Edge Co-Guided Separable Network for Camouflaged Object Detection,
SPLetters(30), 2023, pp. 748-752.
IEEE DOI 2307
Image edge detection, Semantics, Object detection, Iron, Convolution, Transformers, Task analysis, Camouflaged object detection, multi-scale enhancement fusion BibRef

Lv, Y.Q.[Yun-Qiu], Zhang, J.[Jing], Dai, Y.C.[Yu-Chao], Li, A.[Aixuan], Barnes, N.M.[Nick M.], Fan, D.P.[Deng-Ping],
Toward Deeper Understanding of Camouflaged Object Detection,
CirSysVideo(33), No. 7, July 2023, pp. 3462-3476.
IEEE DOI 2307
Task analysis, Location awareness, Object detection, Animals, Annotations, Image edge detection, Image color analysis, camouflage ranking BibRef

Choudhary, S.[Sachi], Sharma, R.[Rashmi],
Camouflaged object segmentation using saliency maps: A comparative study,
IJCVR(13), No. 4, 2023, pp. 359-377.
DOI Link 2307
BibRef

Abdi, A.[Arash], Safabakhsh, R.[Reza],
An Automatic Graphic Pattern Generation Algorithm and Its Application to the Multipurpose Camouflage Pattern Design,
Cyber(53), No. 8, August 2023, pp. 4748-4762.
IEEE DOI 2307
Graphics, Image color analysis, Pattern matching, Visualization, Vegetation, Standards, Shape, Automatic pattern generation, graphic pattern design BibRef

Liu, Y.[Yu], Yang, Z.G.[Zhi-Gang], Cheng, J.[Juan], Chen, X.[Xun],
Multi-Exposure Image Fusion via Multi-Scale and Context-Aware Feature Learning,
SPLetters(30), 2023, pp. 100-104.
IEEE DOI 2303
Feature extraction, Semantics, Image fusion, Decoding, Transforms, Transformers, Visualization, Auto-encoder BibRef

Liu, Y.[Yu], Li, H.H.[Hai-Hang], Cheng, J.[Juan], Chen, X.[Xun],
MSCAF-Net: A General Framework for Camouflaged Object Detection via Learning Multi-Scale Context-Aware Features,
CirSysVideo(33), No. 9, September 2023, pp. 4934-4947.
IEEE DOI Code:
WWW Link. 2310
BibRef

Mei, H.Y.[Hai-Yang], Xu, K.[Ke], Zhou, Y.D.[Yun-Duo], Wang, Y.[Yang], Piao, H.Y.[Hai-Yin], Wei, X.P.[Xiao-Peng], Yang, X.[Xin],
Camouflaged Object Segmentation with Omni Perception,
IJCV(131), No. 1, January 2023, pp. 3019-3034.
Springer DOI 2310
BibRef

Li, H.R.[Hao-Ran], Feng, C.M.[Chun-Mei], Xu, Y.[Yong], Zhou, T.[Tao], Yao, L.[Lina], Chang, X.J.[Xiao-Jun],
Zero-Shot Camouflaged Object Detection,
IP(32), 2023, pp. 5126-5137.
IEEE DOI 2310
BibRef

Xing, H.Z.[Hao-Zhe], Gao, S.[Shuyong], Wang, Y.[Yan], Wei, X.J.[Xu-Jun], Tang, H.[Hao], Zhang, W.Q.[Wen-Qiang],
Go Closer to See Better: Camouflaged Object Detection via Object Area Amplification and Figure-Ground Conversion,
CirSysVideo(33), No. 10, October 2023, pp. 5444-5457.
IEEE DOI Code:
WWW Link. 2310
BibRef

Wang, X.[Xin], Zhang, Z.[Zhao], Gao, J.[Jun],
Polarization-based Camouflaged Object Detection,
PRL(174), 2023, pp. 106-111.
Elsevier DOI 2310
Camouflage, Concealed object detection, Polarization-based dataset BibRef

Zhai, W.[Wei], Cao, Y.[Yang], Xie, H.Y.[Hai-Yong], Zha, Z.J.[Zheng-Jun],
Deep Texton-Coherence Network for Camouflaged Object Detection,
MultMed(25), 2023, pp. 5155-5165.
IEEE DOI 2311
BibRef

Zhou, Y.[Yue], Jiang, W.H.[Wang-Han], Jiang, X.[Xue], Chen, L.[Lin], Liu, X.Z.[Xing-Zhao],
CamoNet: A Target Camouflage Network for Remote Sensing Images Based on Adversarial Attack,
RS(15), No. 21, 2023, pp. 5131.
DOI Link 2311
BibRef

Zhang, D.D.[Dong-Dong], Wang, C.P.[Chun-Ping], Fu, Q.[Qiang],
Efficient Camouflaged Object Detection via Progressive Refinement Network,
SPLetters(31), 2024, pp. 231-235.
IEEE DOI 2401
BibRef

Liang, W.[Weiyun], Wu, J.[Jiesheng], Wu, Y.F.[Yan-Feng], Mu, X.Y.[Xin-Yue], Xu, J.[Jing],
FINet: Frequency Injection Network for Lightweight Camouflaged Object Detection,
SPLetters(31), 2024, pp. 526-530.
IEEE DOI 2402
Feature extraction, Frequency-domain analysis, High frequency, Object detection, Decoding, Benchmark testing, Training, feature fusion BibRef

Li, C.[Chen], Jiao, G.[Ge], Wu, Y.[Yun], Zhao, W.C.[Wei-Chen],
Camouflaged Instance Segmentation From Global Capture to Local Refinement,
SPLetters(31), 2024, pp. 661-665.
IEEE DOI 2403
Feature extraction, Transformers, Kernel, Instance segmentation, Decoding, Head, Task analysis, Camouflaged instance segmentation, local refinement BibRef

Lyu, Y.X.[Yi-Xuan], Zhang, H.[Hong], Li, Y.[Yan], Liu, H.Y.[Han-Yang], Yang, Y.F.[Yi-Fan], Yuan, D.[Ding],
UEDG:Uncertainty-Edge Dual Guided Camouflage Object Detection,
MultMed(26), 2024, pp. 4050-4060.
IEEE DOI 2403
Uncertainty, Task analysis, Feature extraction, Probabilistic logic, Transformers, Cognition, Bayes methods, uncertainty deduction BibRef

Tong, J.H.[Jing-Hui], Bi, Y.Q.[Ya-Qiu], Zhang, C.[Cong], Bi, H.B.[Hong-Bo], Yuan, Y.[Ye],
Local to global purification strategy to realize collaborative camouflaged object detection,
CVIU(241), 2024, pp. 103932.
Elsevier DOI 2403
Semantic segmentation, Co-camouflaged object detection, Detail mining, Feature extraction BibRef

Wang, A.[Anzhi], Ren, C.H.[Chun-Hong], Zhao, S.[Shuang], Mu, S.B.[Shi-Biao],
Attention guided multi-level feature aggregation network for camouflaged object detection,
IVC(144), 2024, pp. 104953.
Elsevier DOI 2404
Camouflaged object detection, Attention, Feature aggregation, Edge context BibRef

Yang, Y.[Yang], Zhang, Q.[Qiang],
Finding Camouflaged Objects Along the Camouflage Mechanisms,
CirSysVideo(34), No. 4, April 2024, pp. 2346-2360.
IEEE DOI 2404
Task analysis, Object detection, Feature extraction, Logic gates, Multitasking, Image segmentation, Search problems, task-conflicting attribute BibRef

Zhou, X.F.[Xiao-Fei], Wu, Z.[Zhicong], Cong, R.[Runmin],
Decoupling and Integration Network for Camouflaged Object Detection,
MultMed(26), 2024, pp. 7114-7129.
IEEE DOI 2405
Decoding, Object detection, Feature extraction, Image edge detection, Task analysis, Iterative methods, feature interaction BibRef

Hui, W.J.[Wen-Jun], Zhu, Z.F.[Zhen-Feng], Gu, G.H.[Guang-Hua], Liu, M.[Meiqin], Zhao, Y.[Yao],
Implicit-Explicit Motion Learning for Video Camouflaged Object Detection,
MultMed(26), 2024, pp. 7188-7196.
IEEE DOI 2405
Object recognition, Object detection, Semantics, Feature extraction, Task analysis, Motion segmentation, deep learning BibRef

Yue, G.H.[Guang-Hui], Xiao, H.[Houlu], Xie, H.[Hai], Zhou, T.W.[Tian-Wei], Zhou, W.[Wei], Yan, W.Q.[Wei-Qing], Zhao, B.Q.[Bao-Quan], Wang, T.F.[Tian-Fu], Jiang, Q.P.[Qiu-Ping],
Dual-Constraint Coarse-to-Fine Network for Camouflaged Object Detection,
CirSysVideo(34), No. 5, May 2024, pp. 3286-3298.
IEEE DOI 2405
Object detection, Feature extraction, Search problems, Task analysis, Object recognition, Decoding, Image segmentation, polyp segmentation BibRef

Hu, X.H.[Xi-Hang], Zhang, X.L.[Xiao-Li], Wang, F.S.[Fa-Sheng], Sun, J.[Jing], Sun, F.[Fuming],
Efficient Camouflaged Object Detection Network Based on Global Localization Perception and Local Guidance Refinement,
CirSysVideo(34), No. 7, July 2024, pp. 5452-5465.
IEEE DOI Code:
WWW Link. 2407
Transformers, Feature extraction, Task analysis, Object detection, Location awareness, Computational modeling, Sun, attention perceptron BibRef

Wang, R.[Rui], Shi, C.[Caijuan], Duan, C.[Changyu], Gao, W.X.[Wei-Xiang], Zhu, H.L.[Hong-Li], Wei, Y.C.[Yun-Chao], Liu, M.[Meiqin],
Camouflaged object segmentation with prior via two-stage training,
CVIU(246), 2024, pp. 104061.
Elsevier DOI Code:
WWW Link. 2408
Camouflaged object segmentation, Transformer, Prior information, Two-stage training BibRef

Wang, Y.M.[Ya-Ming], Chen, J.[Jiatong], Fang, X.[Xian], Jiang, M.F.[Ming-Feng], Ma, J.H.[Jian-Hua],
Dual cross perception network with texture and boundary guidance for camouflaged object detection,
CVIU(248), 2024, pp. 104131.
Elsevier DOI 2409
Camouflaged object detection, Channel attention, Edge guidance, Texture guidance, Dual cross network BibRef

Yang, H.Z.[Hao-Zhe], Zhu, Y.[Yuan], Sun, K.[Ke], Ding, H.Y.[Hao-Yang], Lin, X.M.[Xian-Ming],
Camouflaged Object Detection via Dual-branch Fusion and Dual Self-similarity constraints,
PR(157), 2025, pp. 110895.
Elsevier DOI 2409
Camouflaged Object Detection, Dual-branch feature fusion, Self-similarity, Edge enhancement, Small-scale object localization BibRef

Guan, J.W.[Ju-Wei], Fang, X.L.[Xiao-Lin], Zhu, T.X.[Tong-Xin], Cai, Z.P.[Zhi-Peng], Ling, Z.[Zhen], Yang, M.[Ming], Luo, J.Z.[Jun-Zhou],
IdeNet: Making Neural Network Identify Camouflaged Objects Like Creatures,
IP(33), 2024, pp. 4824-4839.
IEEE DOI Code:
WWW Link. 2409
Visualization, Information processing, Feature extraction, Location awareness, Biological information theory, information correction BibRef


Khan, A.[Abbas], Khan, M.[Mustaqeem], Gueaieb, W.[Wail], Saddik, E.[El_Abdulmotaleb], de Masi, G.[Giulia], Karray, F.[Fakhri],
CamoFocus: Enhancing Camouflage Object Detection with Split-Feature Focal Modulation and Context Refinement,
WACV24(1423-1432)
IEEE DOI 2404
Modulation, Customer relationship management, Collaboration, Object detection, Benchmark testing, Algorithms, Biomedical / healthcare / medicine BibRef

Lamdouar, H.[Hala], Xie, W.[Weidi], Zisserman, A.[Andrew],
The Making and Breaking of Camouflage,
ICCV23(832-842)
IEEE DOI 2401
BibRef

Suryanto, N.[Naufal], Kim, Y.[Yongsu], Larasati, H.T.[Harashta Tatimma], Kang, H.[Hyoeun], Le, T.T.H.[Thi-Thu-Huong], Hong, Y.[Yoonyoung], Yang, H.[Hunmin], Oh, S.Y.[Se-Yoon], Kim, H.[Howon],
ACTIVE: Towards Highly Transferable 3D Physical Camouflage for Universal and Robust Vehicle Evasion,
ICCV23(4282-4291)
IEEE DOI 2401
BibRef

Zhang, Y.[Yi], Wu, C.Y.[Cheng-Yi],
Unsupervised Camouflaged Object Segmentation as Domain Adaptation,
OutDistri23(4336-4346)
IEEE DOI 2401
BibRef

Cui, J.J.[Jun-Jie], Sun, F.[Fengming], Yuan, X.[Xia],
Finding Camouflaged Object Guided by Contour and Attention,
ICIP23(1590-1594)
IEEE DOI Code:
WWW Link. 2312
BibRef

Cui, J.J.[Jun-Jie], Sun, F.[Fengming], Yuan, X.[Xia],
Contour-Assisted Long-Range Perceptual Network for Camouflaged Instance Segmentation,
ICIP23(2190-2194)
IEEE DOI 2312
BibRef

Rahman, M.R.[Md. Rakibur], Chowdhury, M.M.[Md. Mafri], Sarkar, M.S.R.[Md. Shohanur Rahaman], Karim, M.S.[Md. Shahriar],
A Multichannel Localization Method for Camouflaged Object Detection,
ICIP23(3389-3393)
IEEE DOI 2312
BibRef

Guo, R.[Rui], Collins, J.[Jasmine], de Lima, O.[Oscar], Owens, A.[Andrew],
GANmouflage: 3D Object Nondetection with Texture Fields,
CVPR23(4702-4712)
IEEE DOI 2309
BibRef

He, C.M.[Chun-Ming], Li, K.[Kai], Zhang, Y.[Yachao], Tang, L.X.[Long-Xiang], Zhang, Y.[Yulun], Guo, Z.H.[Zhen-Hua], Li, X.[Xiu],
Camouflaged Object Detection with Feature Decomposition and Edge Reconstruction,
CVPR23(22046-22055)
IEEE DOI 2309
BibRef

Luo, N.[Naisong], Pan, Y.[Yuwen], Sun, R.[Rui], Zhang, T.Z.[Tian-Zhu], Xiong, Z.W.[Zhi-Wei], Wu, F.[Feng],
Camouflaged Instance Segmentation via Explicit De-Camouflaging,
CVPR23(17918-17927)
IEEE DOI 2309
BibRef

Huang, Z.[Zhou], Dai, H.[Hang], Xiang, T.Z.[Tian-Zhu], Wang, S.[Shuo], Chen, H.X.[Huai-Xin], Qin, J.[Jie], Xiong, H.[Huan],
Feature Shrinkage Pyramid for Camouflaged Object Detection with Transformers,
CVPR23(5557-5566)
IEEE DOI 2309
BibRef

Zheng, D.H.[De-Hua], Zheng, X.C.[Xiao-Chen], Yang, L.T.[Laurence T.], Gao, Y.[Yuan], Zhu, C.[Chenlu], Ruan, Y.H.[Yi-Heng],
MFFN: Multi-view Feature Fusion Network for Camouflaged Object Detection,
WACV23(6221-6231)
IEEE DOI 2302
Training, Tensors, Shape, Semantics, MIMICs, Object detection, Detectors, Applications: Animals/Insects, Environmental monitoring/climate change/ecology BibRef

Jiang, S.[Shiyao], Li, X.Y.[Xin-Yue], Yang, M.[Miao], Qi, L.[Lin],
Edge-Aware Fusion for Camouflaged Object Detection,
ICIVC22(263-268)
IEEE DOI 2301
Deep learning, Fuses, Image color analysis, Image edge detection, Computational modeling, Semantics, Neural networks, Deep Learning BibRef

Li, X.Y.[Xin-Yue], Li, L.[Lin], Jiang, S.[Shiyao], Yang, M.[Miao], Qi, L.[Lin],
Camouflaged Object Detection with Discriminative Information Attention and Cross-level Feature Fusion,
ICIVC22(248-255)
IEEE DOI 2301
Image segmentation, Computational modeling, Redundancy, Object detection, Feature extraction, Data mining, Task analysis, deep learning BibRef

Liu, Z.Y.[Zheng-Yi], Zhang, Z.L.[Zhi-Li], Tan, Y.C.[Ya-Cheng], Wu, W.[Wei],
Boosting Camouflaged Object Detection with Dual-Task Interactive Transformer,
ICPR22(140-146)
IEEE DOI 2212
Costs, Computational modeling, Machine vision, Object detection, Transformers, Feature extraction, Search problems, multi-task learning BibRef

He, C.Y.[Chi-Yuan], Xu, L.F.[Lin-Feng], Qiu, Z.H.[Zi-Huan],
Eldnet: Establishment and Refinement of Edge Likelihood Distributions for Camouflaged Object Detection,
ICIP22(621-625)
IEEE DOI 2211
Fault tolerance, Image edge detection, Semantics, Fault tolerant systems, Estimation, Object detection, Interference, Deep learning BibRef

Pei, J.L.[Jia-Lun], Cheng, T.Y.[Tian-Yang], Fan, D.P.[Deng-Ping], Tang, H.[He], Chen, C.B.[Chuan-Bo], Van Gool, L.J.[Luc J.],
OSFormer: One-Stage Camouflaged Instance Segmentation with Transformers,
ECCV22(XVIII:19-37).
Springer DOI 2211
BibRef

Zhong, Y.J.[Yi-Jie], Li, B.[Bo], Tang, L.[Lv], Kuang, S.[Senyun], Wu, S.[Shuang], Ding, S.H.[Shou-Hong],
Detecting Camouflaged Object in Frequency Domain,
CVPR22(4494-4503)
IEEE DOI 2210
Visualization, Shape, Fuses, Frequency-domain analysis, Object detection, Pattern recognition, Segmentation, Scene analysis and understanding BibRef

Jia, Q.[Qi], Yao, S.L.[Shui-Lian], Liu, Y.[Yu], Fan, X.[Xin], Liu, R.S.[Ri-Sheng], Luo, Z.X.[Zhong-Xuan],
Segment, Magnify and Reiterate: Detecting Camouflaged Objects the Hard Way,
CVPR22(4703-4712)
IEEE DOI 2210
Measurement, Image segmentation, Codes, Image edge detection, Object detection, Network architecture, Recognition: detection, grouping and shape analysis BibRef

Gao, R.J.[Rui-Jun], Guo, Q.[Qing], Juefei-Xu, F.[Felix], Yu, H.K.[Hong-Kai], Fu, H.Z.[Hua-Zhu], Feng, W.[Wei], Liu, Y.[Yang], Wang, S.[Song],
Can You Spot the Chameleon? Adversarially Camouflaging Images from Co-Salient Object Detection,
CVPR22(2140-2149)
IEEE DOI 2210
Degradation, Additives, Perturbation methods, Pipelines, Object detection, Robustness, Safety, Low-level vision, Adversarial attack and defense BibRef

Pang, Y.[Youwei], Zhao, X.Q.[Xiao-Qi], Xiang, T.Z.[Tian-Zhu], Zhang, L.[Lihe], Lu, H.C.[Hu-Chuan],
Zoom In and Out: A Mixed-scale Triplet Network for Camouflaged Object Detection,
CVPR22(2150-2160)
IEEE DOI 2210
Uncertainty, Shape, Semantics, Merging, MIMICs, Object detection, Predictive models, Low-level vision, Segmentation, grouping and shape analysis BibRef

Cheng, X.L.[Xue-Lian], Xiong, H.[Huan], Fan, D.P.[Deng-Ping], Zhong, Y.[Yiran], Harandi, M.[Mehrtash], Drummond, T.[Tom], Ge, Z.Y.[Zong-Yuan],
Implicit Motion Handling for Video Camouflaged Object Detection,
CVPR22(13854-13863)
IEEE DOI 2210
Motion segmentation, Motion estimation, Video sequences, Wildlife, Object detection, Benchmark testing, Transformers, grouping and shape analysis BibRef

Yang, F.[Fan], Zhai, Q.[Qiang], Li, X.[Xin], Huang, R.[Rui], Luo, A.[Ao], Cheng, H.[Hong], Fan, D.P.[Deng-Ping],
Uncertainty-Guided Transformer Reasoning for Camouflaged Object Detection,
ICCV21(4126-4135)
IEEE DOI 2203
Uncertainty, Object detection, Transformer cores, Transformers, Probabilistic logic, Cognition, grouping and shape BibRef

Wang, J.K.[Jia-Kai], Liu, A.[Aishan], Yin, Z.X.[Zi-Xin], Liu, S.C.[Shun-Chang], Tang, S.Y.[Shi-Yu], Liu, X.L.[Xiang-Long],
Dual Attention Suppression Attack: Generate Adversarial Camouflage in Physical World,
CVPR21(8561-8570)
IEEE DOI 2111
Deep learning, Visualization, Shape, Perturbation methods, Semantics, Three-dimensional printing, Robustness BibRef

Mei, H.Y.[Hai-Yang], Ji, G.P.[Ge-Peng], Wei, Z.[Ziqi], Yang, X.[Xin], Wei, X.P.[Xiao-Peng], Fan, D.P.[Deng-Ping],
Camouflaged Object Segmentation with Distraction Mining,
CVPR21(8768-8777)
IEEE DOI 2111
Measurement, Frequency modulation, MIMICs, Refining, Object segmentation, Real-time systems, Pattern recognition BibRef

Liu, J.W.[Jia-Wei], Zhang, J.[Jing], Barnes, N.M.[Nick M.],
Modeling Aleatoric Uncertainty for Camouflaged Object Detection,
WACV22(2613-2622)
IEEE DOI 2202
Training, Uncertainty, Annotations, Estimation, Object detection, Predictive models, Probability distribution, Segmentation, Grouping and Shape BibRef

Tian, X.Y.[Xin-Yu], Zhang, J.[Jing], Xiang, M.[Mochu], Dai, Y.C.[Yu-Chao],
Modeling the Distributional Uncertainty for Salient Object Detection Models,
CVPR23(19660-19670)
IEEE DOI 2309
BibRef

Li, A.X.[Ai-Xuan], Zhang, J.[Jing], Lv, Y.Q.[Yun-Qiu], Liu, B.W.[Bo-Wen], Zhang, T.[Tong], Dai, Y.C.[Yu-Chao],
Uncertainty-aware Joint Salient Object and Camouflaged Object Detection,
CVPR21(10066-10076)
IEEE DOI 2111
Visualization, Uncertainty, Computational modeling, Object detection, Benchmark testing, Predictive models, Adversarial machine learning BibRef

Hu, S.N.[Sheng-Nan], Zhang, Y.[Yang], Laha, S.[Sumit], Sharma, A.[Ankit], Foroosh, H.[Hassan],
CCA: Exploring the Possibility of Contextual Camouflage Attack on Object Detection,
ICPR21(7647-7654)
IEEE DOI 2105
Training, Adaptation models, Machine learning algorithms, Neural networks, Lighting, Detectors, Object detection BibRef

Lv, Y.Q.[Yun-Qiu], Zhang, J.[Jing], Dai, Y.C.[Yu-Chao], Li, A.[Aixuan], Liu, B.[Bowen], Barnes, N.M.[Nick M.], Fan, D.P.[Deng-Ping],
Simultaneously Localize, Segment and Rank the Camouflaged Objects,
CVPR21(11586-11596)
IEEE DOI 2111
Location awareness, Animals, Computational modeling, Object detection, Color, Task analysis BibRef

Huang, L., Gao, C., Zhou, Y., Xie, C., Yuille, A.L., Zou, C., Liu, N.,
Universal Physical Camouflage Attacks on Object Detectors,
CVPR20(717-726)
IEEE DOI 2008
Proposals, Detectors, Semantics, Perturbation methods, Strain, Optimization BibRef

Duan, R., Ma, X., Wang, Y., Bailey, J., Qin, A.K., Yang, Y.,
Adversarial Camouflage: Hiding Physical-World Attacks With Natural Styles,
CVPR20(997-1005)
IEEE DOI 2008
Perturbation methods, Cameras, Robustness, Feature extraction, Distortion, Visualization, Measurement BibRef

Fan, D., Ji, G., Sun, G., Cheng, M., Shen, J., Shao, L.,
Camouflaged Object Detection,
CVPR20(2774-2784)
IEEE DOI 2008
Task analysis, Object detection, Image segmentation, Measurement, Cats BibRef

Lamdouar, H.[Hala], Yang, C.[Charig], Xie, W.[Weidi], Zisserman, A.[Andrew],
Betrayed by Motion: Camouflaged Object Discovery via Motion Segmentation,
ACCV20(II:488-503).
Springer DOI
WWW Link. 2103

See also MoCA: Moving Camouflaged Animals dataset. BibRef

Miao, C.[Chu], Shaohui, T.[Tian],
An extraction method for digital camouflage texture based on human visual perception and isoperimetric theory,
ICIVC17(158-162)
IEEE DOI 1708
Feature extraction, Image color analysis, Image edge detection, Image segmentation, Sensitivity, Visual perception, Visualization, digital camouflage, human visual perception, isoperimetric theory, multilevel, threshold BibRef

Owens, A.[Andrew], Barnes, C.[Connelly], Flint, A.[Alex], Singh, H.[Hanumant], Freeman, W.T.[William T.],
Camouflaging an Object from Many Viewpoints,
CVPR14(2782-2789)
IEEE DOI 1409
produce a surface texture that will make the object difficult for a human to detect. BibRef

Chapter on 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture continues in
Object Localization .


Last update:Oct 22, 2024 at 22:09:59