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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-Viñolo, 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
See also Attention Guided Contextual Feature Fusion Network for Salient Object Detection.
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
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.S.[Jie-Sheng],
Liang, W.Y.[Wei-Yun],
Hao, F.W.[Fang-Wei],
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.Y.[Wei-Yun],
Wu, J.S.[Jie-Sheng],
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
Chen, C.Y.[Chun-Yuan],
Liang, W.Y.[Wei-Yun],
Wang, D.L.[Dong-Lin],
Wang, B.[Bin],
Xu, J.[Jing],
Vision-Inspired Boundary Perception Network for Lightweight
Camouflaged Object Detection,
SPLetters(32), 2025, pp. 1176-1180.
IEEE DOI
2503
Semantics, Training, Convolution, Object detection,
Feature extraction, Artificial intelligence, Fuses, Data mining,
boundary perception
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.C.[Zhi-Cong],
Cong, R.M.[Run-Min],
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
Hui, W.J.[Wen-Jun],
Zhu, Z.F.[Zhen-Feng],
Zheng, S.[Shuai],
Zhao, Y.[Yao],
Endow SAM with Keen Eyes: Temporal-Spatial Prompt Learning for Video
Camouflaged Object Detection,
CVPR24(19058-19067)
IEEE DOI
2410
Measurement, Location awareness, Image segmentation, Visualization,
Video sequences, Object detection
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.T.[Jia-Tong],
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
Fang, X.[Xian],
Chen, J.T.[Jia-Tong],
Wang, Y.M.[Ya-Ming],
Jiang, M.F.[Ming-Feng],
Ma, J.H.[Jian-Hua],
Wang, X.[Xin],
EPFDNet: Camouflaged Object Detection with Edge Perception in
Frequency Domain,
IVC(154), 2025, pp. 105358.
Elsevier DOI Code:
WWW Link.
2502
Camouflaged object detection, Edge perception,
Frequency components, Reverse attention
BibRef
Liu, Z.J.[Zi-Jian],
Deng, X.H.[Xiao-Heng],
Jiang, P.[Ping],
Lv, C.H.[Cong-Hao],
Min, G.Y.[Ge-Yong],
Wang, X.[Xin],
Edge Perception Camouflaged Object Detection Under Frequency Domain
Reconstruction,
CirSysVideo(34), No. 10, October 2024, pp. 10194-10207.
IEEE DOI
2411
Frequency-domain analysis, Image edge detection,
Object detection, Image reconstruction, Semantics, Noise,
frequency domain reconstruction
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
Wang, J.K.[Jia-Kai],
Liu, X.L.[Xiang-Long],
Yin, Z.X.[Zi-Xin],
Wang, Y.X.[Yu-Xuan],
Guo, J.[Jun],
Qin, H.T.[Hao-Tong],
Wu, Q.T.[Qing-Tao],
Liu, A.[Aishan],
Generate Transferable Adversarial Physical Camouflages via Triplet
Attention Suppression,
IJCV(132), No. 11, November 2024, pp. 5084-5100.
Springer DOI
2411
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
Pang, Y.[Youwei],
Zhao, X.Q.[Xiao-Qi],
Xiang, T.Z.[Tian-Zhu],
Zhang, L.[Lihe],
Lu, H.C.[Hu-Chuan],
ZoomNeXt: A Unified Collaborative Pyramid Network for Camouflaged
Object Detection,
PAMI(46), No. 12, December 2024, pp. 9205-9220.
IEEE DOI
2411
Task analysis, Videos, Object detection,
Pipelines, Feature extraction, Visualization,
image and video unified architecture
BibRef
Yin, B.[Bowen],
Zhang, X.Y.[Xu-Ying],
Fan, D.P.[Deng-Ping],
Jiao, S.H.[Shao-Hui],
Cheng, M.M.[Ming-Ming],
Van Gool, L.J.[Luc J.],
Hou, Q.[Qibin],
CamoFormer: Masked Separable Attention for Camouflaged Object
Detection,
PAMI(46), No. 12, December 2024, pp. 10362-10374.
IEEE DOI
2411
Transformers, Object detection, Decoding, Magnetic heads, Head,
Feature extraction, Visualization, Camouflaged object detection,
top-down decoder
BibRef
Yao, S.Y.[Si-Yuan],
Sun, H.[Hao],
Xiang, T.Z.[Tian-Zhu],
Wang, X.[Xiao],
Cao, X.C.[Xiao-Chun],
Hierarchical Graph Interaction Transformer With Dynamic Token
Clustering for Camouflaged Object Detection,
IP(33), 2024, pp. 5936-5948.
IEEE DOI Code:
WWW Link.
2411
Transformers, Visualization, Semantics, Object detection, Focusing,
Feature extraction, Excavation, Decoding, Uncertainty,
dynamic token clustering
BibRef
Liu, G.R.[Guang-Rui],
Wu, W.[Wei],
Search and recovery network for camouflaged object detection,
IVC(151), 2024, pp. 105247.
Elsevier DOI
2411
Camouflaged object detection, Bionic, Object search, Boundary feature
BibRef
Ge, Y.L.[Yan-Liang],
Zhong, Y.X.[Yu-Xi],
Ren, J.C.[Jun-Chao],
He, M.[Min],
Bi, H.B.[Hong-Bo],
Zhang, Q.[Qiao],
Camouflaged Object Detection via Location-Awareness and Feature
Fusion,
IVC(152), 2024, pp. 105339.
Elsevier DOI Code:
WWW Link.
2412
Camouflaged object detection, Multi-scale feature,
Attention mechanism, Location awareness
BibRef
Song, X.G.[Xiao-Gang],
Zhang, P.F.[Peng-Fei],
Lu, X.F.[Xiao-Feng],
Hei, X.H.[Xin-Hong],
Liu, R.R.[Rong-Rong],
A Universal Multi-View Guided Network for Salient Object and
Camouflaged Object Detection,
CirSysVideo(34), No. 11, November 2024, pp. 11184-11197.
IEEE DOI Code:
WWW Link.
2412
Feature extraction, Object detection, Transformers, Task analysis,
Accuracy, Image segmentation, Image color analysis,
instance segmentation
BibRef
Wang, Y.C.[Yong-Chao],
Bi, X.L.[Xiu-Li],
Liu, B.[Bo],
Wei, Y.[Yang],
Li, W.S.[Wei-Sheng],
Xiao, B.[Bin],
Learning Discriminative Representations From Cross-Scale Features for
Camouflaged Object Detection,
CirSysVideo(34), No. 12, December 2024, pp. 12756-12769.
IEEE DOI
2501
Feature extraction, Object detection, Task analysis, Semantics,
Visualization, Image edge detection, Biological system modeling,
contrastive learning
BibRef
Zhang, J.H.[Jian-Hao],
Yang, G.[Gang],
Dai, X.[Xun],
Yang, P.Y.[Peng-Yu],
SPANet: Spatial perceptual activation network for camouflaged object
detection,
IET-CV(18), No. 8, 2024, pp. 1300-1312.
DOI Link
2501
computer vision, image fusion, image segmentation
BibRef
Zhang, S.Z.[Shi-Zhou],
Kong, D.[Dexuan],
Xing, Y.H.[Ying-Hui],
Lu, Y.[Yue],
Ran, L.Y.[Ling-Yan],
Liang, G.Q.[Guo-Qiang],
Wang, H.[Hexu],
Zhang, Y.N.[Yan-Ning],
Frequency-Guided Spatial Adaptation for Camouflaged Object Detection,
MultMed(27), 2025, pp. 72-83.
IEEE DOI
2501
Adaptation models, Foundation models, Shape, Fuses,
Frequency-domain analysis, Object detection, Transforms, spatial adaptation
BibRef
Yue, G.H.[Guang-Hui],
Wu, S.J.[Shang-Jie],
Zhou, T.W.[Tian-Wei],
Li, G.[Gang],
Du, J.[Jie],
Luo, Y.[Yu],
Jiang, Q.P.[Qiu-Ping],
Progressive Region-to-Boundary Exploration Network for Camouflaged
Object Detection,
MultMed(27), 2025, pp. 236-248.
IEEE DOI
2501
Feature extraction, Decoding, Object detection, Shape, Biomedical imaging,
Accuracy, Visualization, Ultrasonic imaging, boundary refinement
BibRef
Pan, Q.[Qing],
Feng, X.[Xiayuan],
Tian, N.[Nili],
EDCAANet: A lightweight COD network based on edge detection and
coordinate attention assistance,
IVC(154), 2025, pp. 105382.
Elsevier DOI
2502
Camouflaged object detection, Deep learning,
Attention mechanism, Edge detection, Feature fusion
BibRef
Zhu, Z.J.[Zi-Jian],
Yang, X.[Xiao],
Su, H.[Hang],
Zheng, S.[Shibao],
CamoEnv: Transferable and environment-consistent adversarial
camouflage in autonomous driving,
PRL(188), 2025, pp. 95-102.
Elsevier DOI
2502
Adversarial camouflage, Object detection, Autonomous driving,
Environment consistency
BibRef
Wu, F.[Fei],
Yin, J.[Jun],
Li, X.C.[Xiao-Chuan],
Wu, J.F.[Jian-Feng],
Jin, D.[Da],
Yang, J.[Jiamin],
CoNet: A Consistency-Oriented Network for Camouflaged Object
Segmentation,
CirSysVideo(35), No. 1, January 2025, pp. 287-299.
IEEE DOI
2502
Feature extraction, Visualization, Object segmentation,
Object detection, Estimation, Object recognition, Image resolution,
global-foreground consistency
BibRef
Lu, Z.L.[Ze-Lin],
Xie, L.[Liang],
Zhao, X.[Xing],
Xu, B.W.[Bin-Wei],
Liang, H.R.[Hao-Ran],
Liang, R.H.[Rong-Hua],
A Weakly-Supervised Cross-Domain Query Framework for Video Camouflage
Object Detection,
CirSysVideo(35), No. 2, February 2025, pp. 1506-1518.
IEEE DOI
2502
Annotations, Object detection, Optical flow, Accuracy,
Motion segmentation, Feature extraction, Memory management,
weakly supervised
BibRef
Hao, C.[Chao],
Yu, Z.T.[Zi-Tong],
Liu, X.[Xin],
Xu, J.[Jun],
Yue, H.[Huanjing],
Yang, J.Y.[Jing-Yu],
A Simple Yet Effective Network Based on Vision Transformer for
Camouflaged Object and Salient Object Detection,
IP(34), 2025, pp. 608-622.
IEEE DOI Code:
WWW Link.
2502
Training, Image segmentation, Data models,
Object detection, Architecture, Transformers, Image reconstruction,
joint training
BibRef
Lu, Z.L.[Ze-Lin],
Zhao, X.[Xing],
Xie, L.[Liang],
Liang, H.R.[Hao-Ran],
Liang, R.H.[Rong-Hua],
Semantic-aware representations for unsupervised Camouflaged Object
Detection,
JVCIR(107), 2025, pp. 104366.
Elsevier DOI
2503
Semantic-aware segmentation, Unsupervised object detection,
Camouflaged Object Detection
BibRef
Sun, K.[Ke],
Chen, Z.X.[Zhong-Xi],
Lin, X.M.[Xian-Ming],
Sun, X.S.[Xiao-Shuai],
Liu, H.[Hong],
Ji, R.R.[Rong-Rong],
Conditional Diffusion Models for Camouflaged and Salient Object
Detection,
PAMI(47), No. 4, April 2025, pp. 2833-2848.
IEEE DOI
2503
Training, Noise reduction, Noise, Diffusion models, Transformers,
Object detection, Schedules, Feature extraction, Adaptive systems,
transformer network
BibRef
Wen, J.[Juan],
Cheng, S.P.[Shu-Peng],
Hou, W.Y.[Wei-Yan],
Van Gool, L.J.[Luc J.],
Timofte, R.[Radu],
When super-resolution meets camouflaged object detection:
A comparison study,
CVIU(253), 2025, pp. 104321.
Elsevier DOI
2503
Super-resolution, Camouflaged object detection, Deep learning
BibRef
Shi, C.J.[Cai-Juan],
Zhao, L.[Lin],
Wang, R.[Rui],
Zhang, K.[Kun],
Kong, F.Y.[Fan-Yue],
Duan, C.Y.[Chang-Yu],
Multi-information guided camouflaged object detection,
IVC(156), 2025, pp. 105470.
Elsevier DOI
2503
Camouflaged object detection, Multi-information,
Texture and boundary label, Parallel strategy, Multi-grouping scales
BibRef
Zhang, J.L.[Jia-Lin],
Wang, X.[Xiao],
Yuan, X.[Xin],
Mu, N.[Nan],
Wang, Z.[Zheng],
Spatial Bi-Exploration for Robust Camouflaged Object Detection,
SPLetters(32), 2025, pp. 1251-1255.
IEEE DOI
2504
Feature extraction, Accuracy, Robustness, Image edge detection,
Noise, Object detection, Loss measurement, Data mining,
spatial exploration
BibRef
Zhang, X.Y.[Xu-Ying],
Yin, B.[Bowen],
Lin, Z.[Zheng],
Hou, Q.[Qibin],
Fan, D.P.[Deng-Ping],
Cheng, M.M.[Ming-Ming],
Referring Camouflaged Object Detection,
PAMI(47), No. 5, May 2025, pp. 3597-3610.
IEEE DOI
2504
Image segmentation, Visualization, Object recognition, Object detection,
Feature extraction, Benchmark testing, Standards, R2CNet Framework
BibRef
Jayanthan, K.S.,
Domnic, S.,
Stealth sight: A multi perspective approach for camouflaged object
detection,
IVC(157), 2025, pp. 105517.
Elsevier DOI
2504
Camouflaged object detection, Transformer, Pretrained models, Multi-view,
Depth-view, Pruning After Training(PAT), Resource-constrained environments
BibRef
Ma, J.Y.[Jing-Yuan],
Chen, T.Y.[Tian-You],
Xiao, J.[Jin],
Hu, X.G.[Xiao-Guang],
Wang, Y.X.[Ying-Xun],
An edge-aware high-resolution framework for camouflaged object
detection,
IVC(157), 2025, pp. 105487.
Elsevier DOI Code:
WWW Link.
2504
Attention-guided fusion, Camouflaged object detection,
Edge-aware segmentation, Convolutional neural network
BibRef
Zhang, S.K.[Shi-Kun],
Cao, Y.[Yunhua],
Bai, L.[Lu],
Wu, Z.[Zhensen],
Research on Camouflage Target Classification and Recognition Based on
Mid Wave Infrared Hyperspectral Imaging,
RS(17), No. 8, 2025, pp. 1475.
DOI Link
2505
BibRef
Chen, H.F.[Hua-Feng],
Wei, P.X.[Peng-Xu],
Guo, G.Q.[Guang-Qian],
Gao, S.[Shan],
SAM-COD+: SAM-Guided Unified Framework for Weakly-Supervised
Camouflaged Object Detection,
CirSysVideo(35), No. 5, May 2025, pp. 4635-4647.
IEEE DOI
2505
BibRef
Earlier:
SAM-COD: Sam-guided Unified Framework for Weakly-supervised Camouflaged
Object Detection,
ECCV24(XXXV: 315-331).
Springer DOI
2412
Semantics, Object detection, Annotations, Matched filters,
Image segmentation, Visualization, Skeleton,
knowledge distillation
BibRef
Yin, C.[Chao],
Li, X.Q.[Xiao-Qiang],
Dual region mutual enhancement network for camouflaged object
detection,
IVC(158), 2025, pp. 105526.
Elsevier DOI Code:
WWW Link.
2505
Camouflaged object detection, Binary segmentation,
Feature interaction, Feature enhancement, Coarse-to-fine refinement
BibRef
Zhang, X.[Xin],
Xiao, T.[Tao],
Ji, G.P.[Ge-Peng],
Wu, X.[Xuan],
Fu, K.[Keren],
Zhao, Q.J.[Qi-Jun],
Explicit Motion Handling and Interactive Prompting for Video
Camouflaged Object Detection,
IP(34), 2025, pp. 2853-2866.
IEEE DOI Code:
WWW Link.
2505
Optical flow, Motion segmentation, Object detection, Estimation, Streams,
Object segmentation, Visualization, Training, Transformers, deep learning
BibRef
Song, Z.[Ze],
Kang, X.D.[Xu-Dong],
Wei, X.H.[Xiao-Hui],
Dian, R.[Renwei],
Liu, J.Y.[Jin-Yang],
Li, S.T.[Shu-Tao],
Multi-Granularity Context Perception Network for Open Set Recognition
of Camouflaged Objects,
MultMed(27), 2025, pp. 2436-2449.
IEEE DOI
2505
Transformers, Object recognition, Training, Feature extraction,
Visualization, Object detection, Biology, Benchmark testing,
visual classification
BibRef
Zhang, M.[Miao],
Hu, B.[Beiqi],
Yao, S.[Shunyu],
Piao, Y.[Yongri],
Lu, H.C.[Hu-Chuan],
PMNet: Predator-Mimicking Network for Video Camouflaged Object
Detection,
MultMed(27), 2025, pp. 2374-2383.
IEEE DOI Code:
WWW Link.
2505
Feature extraction, Object detection, Optical imaging,
Optical feedback, Training, Solid modeling, Image segmentation,
video camflaged object detection
BibRef
Ren, C.H.[Chun-Hong],
Wang, A.[Anzhi],
Yang, C.[Chengbang],
Wu, J.T.[Jin-Tao],
Wang, M.H.[Ming-Hui],
Frequency Domain-Based Cross-Layer Feature Aggregation Network for
Camouflaged Object Detection,
SPLetters(32), 2025, pp. 2005-2009.
IEEE DOI
2505
Feature extraction, Frequency-domain analysis, Noise, Accuracy,
Object detection, Location awareness, Data mining, visual transformer
BibRef
Wang, Q.Z.[Qing-Zheng],
Xie, J.Z.[Jia-Zhi],
Li, N.[Ning],
Wang, X.Q.[Xing-Qin],
Liu, W.H.[Wen-Hui],
Mai, Z.[Zengwei],
Incremental structural adaptation for camouflaged object detection,
IVC(159), 2025, pp. 105565.
Elsevier DOI Code:
WWW Link.
2505
Camouflaged object detection, Image segmentation,
Computer vision, Structural information
BibRef
Li, X.[Xia],
Liu, X.R.[Xin-Ran],
Qi, L.[Lin],
Dong, J.Y.[Jun-Yu],
Weakly supervised camouflaged object detection based on the SAM model
and mask guidance,
IVC(159), 2025, pp. 105571.
Elsevier DOI
2505
Camouflaged object detection, Weak supervision,
Segment anything model, Mask guidance
BibRef
Yin, B.W.[Bo-Wen],
Zhang, X.Y.[Xu-Ying],
Liu, L.[Li],
Cheng, M.M.[Ming-Ming],
Liu, Y.X.[Yong-Xiang],
Hou, Q.B.[Qi-Bin],
Camouflaged Object Detection with Adaptive Partition and Background
Retrieval,
IJCV(133), No. 7, July 2025, pp. 4877-4893.
Springer DOI
2506
BibRef
Huang, Y.F.[Yin-Fu],
Jen, F.Y.[Feng-Yen],
Camouflaged Instance Segmentation Based on Multi-Scale Feature
Contour Fusion SWIN Transformer,
SP:IC(137), 2025, pp. 117328.
Elsevier DOI
2506
Camouflaged instance segmentation, Mask R-CNN,
Swin Transformer, Multi-scale features, Contour features, Feature fusion
BibRef
Gao, D.Y.[Dong-Yang],
Zhou, Y.C.[Yi-Chao],
Yan, H.[Hui],
Chen, C.[Chen],
Hu, X.[Xiyuan],
COD-SAM: Camouflage object detection using SAM,
PR(168), 2025, pp. 111826.
Elsevier DOI
2506
SAM, Transformer, COD, Feature cross fusion
BibRef
Fu, X.L.[Xing-Lin],
Bian, W.X.[Wei-Xin],
Jie, B.[Biao],
Dong, H.T.[Hao-Tong],
He, Z.W.[Zhi-Wei],
BFNet: Boundary guidance signal and feature fusion network for
camouflaged object detection,
IVC(160), 2025, pp. 105599.
Elsevier DOI
2506
Camouflaged object detection, Deep learning,
Boundary guidance signal, Feature fusion
BibRef
Wang, Y.Z.[Yi-Zhou],
Wu, L.[Libing],
Cao, Y.[Yue],
Jin, J.[Jiong],
Zhang, Z.Z.[Zhuang-Zhuang],
Wang, E.[Enshu],
Ma, C.[Chao],
Zhao, Y.[Yu],
A Highly Transferable Camouflage Attack Against Object Detectors in
the Physical World,
ITS(26), No. 7, July 2025, pp. 10373-10385.
IEEE DOI
2507
Detectors, Data models, Rendering (computer graphics),
Three-dimensional printing, Adaptation models, Closed box,
physical attack
BibRef
Liang, C.[Chen],
Gao, S.B.[Shao-Bing],
He, L.[Liangtian],
Liu, Y.G.[Yi-Guang],
Biological Vision Inspired Context-Awareness Network for Various
Non-Generic Object Detection,
CirSysVideo(35), No. 7, July 2025, pp. 6726-6739.
IEEE DOI
2507
Campuflaged and difficult to see objects.
Object detection, Feature extraction, Detectors, Meteorology,
Visualization, Training, Proposals, Heat maps, Context modeling,
context-awareness network
BibRef
Gupta, A.[Avi],
Jerripothula, K.R.[Koteswar Rao],
Tillo, T.[Tammam],
CIRCOD: Co-Saliency Inspired Referring Camouflaged Object Discovery,
WACV25(8313-8323)
IEEE DOI Code:
WWW Link.
2505
Image segmentation, Image transformation, Codes, Semantics,
Object detection, Benchmark testing, Search problems,
referring-based image segmentation
BibRef
He, J.P.[Jin-Peng],
Liu, B.Y.[Bi-Yuan],
Chen, H.X.[Huai-Xin],
HDPNet: Hourglass Vision Transformer with Dual-Path Feature Pyramid
for Camouflaged Object Detection,
WACV25(8638-8647)
IEEE DOI Code:
WWW Link.
2505
Correlation, Codes, Semantics, Object detection, Benchmark testing,
Transformers, Feature extraction, Decoding
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
Zhang, J.[Jin],
Zhang, R.H.[Rui-Heng],
Shi, Y.J.[Yan-Jiao],
Cao, Z.[Zhe],
Liu, N.[Nian],
Khan, F.S.[Fahad Shahbaz],
Learning Camouflaged Object Detection from Noisy Pseudo Label,
ECCV24(I: 158-174).
Springer DOI
2412
BibRef
Phung, T.H.[Thanh-Hai],
Shuai, H.H.[Hong-Han],
Revealing Hidden Context in Camouflage Instance Segmentation,
ACCV24(VIII: 3-20).
Springer DOI
2412
BibRef
Zhao, Y.L.[Yi-Lin],
Zhang, Q.[Qing],
Li, Y.T.[Yue-Tong],
Frequency Learning Network with Dual-guidance Calibration for
Camouflaged Object Detection,
ACCV24(VII: 235-251).
Springer DOI
2412
BibRef
Sun, Y.[Yanguang],
Xu, C.Y.[Chun-Yan],
Yang, J.[Jian],
Xuan, H.Y.[Han-Yu],
Luo, L.[Lei],
Frequency-spatial Entanglement Learning for Camouflaged Object
Detection,
ECCV24(VI: 343-360).
Springer DOI
2412
BibRef
Chen, H.F.[Hua-Feng],
Shao, D.[Dian],
Guo, G.Q.[Guang-Qian],
Gao, S.[Shan],
Just a Hint: Point-supervised Camouflaged Object Detection,
ECCV24(XXXV: 332-348).
Springer DOI
2412
BibRef
Lai, X.[Xunfa],
Yang, Z.Y.[Zhi-Yu],
Hu, J.[Jie],
Zhang, S.C.[Sheng-Chuan],
Cao, L.J.[Liu-Juan],
Jiang, G.[Guannan],
Wang, Z.Y.[Zhi-Yu],
Zhang, S.[Songan],
Ji, R.R.[Rong-Rong],
Camoteacher: Dual-rotation Consistency Learning for Semi-supervised
Camouflaged Object Detection,
ECCV24(XLV: 438-455).
Springer DOI
2412
BibRef
Zhao, J.W.[Jian-Wei],
Li, X.[Xin],
Yang, F.[Fan],
Zhai, Q.[Qiang],
Luo, A.[Ao],
Jiao, Z.C.[Zi-Cheng],
Cheng, H.[Hong],
Focusdiffuser: Perceiving Local Disparities for Camouflaged Object
Detection,
ECCV24(LIII: 181-198).
Springer DOI
2412
BibRef
Zhang, H.[Hong],
Lyu, Y.X.[Yi-Xuan],
Yu, Q.[Qian],
Liu, H.Y.[Han-Yang],
Ma, H.M.[Hui-Min],
Yuan, D.[Ding],
Yang, Y.F.[Yi-Fan],
Unlocking Attributes' Contribution to Successful Camouflage:
A Combined Textual and Visual Analysis Strategy,
ECCV24(LV: 315-331).
Springer DOI
2412
BibRef
Wang, Q.W.[Qing-Wang],
Qu, X.[Xin],
Zhou, L.[Liyao],
Jin, P.C.[Peng-Cheng],
Fu, C.[Chengbiao],
Shen, T.[Tao],
Edge-Guided Pixel Level Connected Component Assisted Camouflaged
Object Detection,
ICIP24(4021-4027)
IEEE DOI
2411
Visualization, Image color analysis, Image edge detection,
Collaboration, Object detection, Feature extraction,
multi-type information collaboration
BibRef
Lenhard, T.R.[Tamara R.],
Weinmann, A.[Andreas],
Jäger, S.[Stefan],
Koch, T.[Tobias],
YOLO-Feder Fusionnet: A Novel Deep Learning Architecture for Drone
Detection,
ICIP24(2299-2305)
IEEE DOI
2411
YOLO, Deep architecture, Detectors, Streaming media, Neck,
Complexity theory, Drone detection, camouflage object detection,
synthetic data
BibRef
Guesmi, A.[Amira],
Bilasco, I.M.[Ioan Marius],
Shafique, M.[Muhammad],
Alouani, I.[Ihsen],
AdvART: Adversarial Art for Camouflaged Object Detection Attacks,
ICIP24(666-672)
IEEE DOI
2411
Perturbation methods, Image edge detection, Semantics,
Smart cameras, Object detection, Linear programming, latent space
BibRef
Lu, D.N.[Dong-Ni],
Chen, J.X.[Jia-Xuan],
Chen, H.Y.[Hai-Yan],
Peng, Z.[Ziyi],
Quan, R.[Rong],
Qin, J.[Jie],
Camouflaged Object Detection Via Style Transfer-Based Data
Augmentation,
ICIP24(2229-2235)
IEEE DOI Code:
WWW Link.
2411
Uncertainty, Costs, Codes, Accuracy, Image edge detection, Aggregates,
Object detection, camouflaged object detection, style transfer
BibRef
Meeran, M.N.[Muhammad Nawfal],
Adethya, T.G.[T. Gokul],
Mantha, B.P.[Bhanu Pratyush],
SAM-PM: Enhancing Video Camouflaged Object Detection using
Spatio-Temporal Attention,
PVUW24(1857-1866)
IEEE DOI Code:
WWW Link.
2410
Training, Knowledge engineering, Image segmentation,
Image recognition, Codes, VCOD, SAM, Segmentation
BibRef
Luo, Z.Y.[Zi-Yang],
Liu, N.[Nian],
Zhao, W.[Wangbo],
Yang, X.G.[Xu-Guang],
Zhang, D.W.[Ding-Wen],
Fan, D.P.[Deng-Ping],
Khan, F.[Fahad],
Han, J.W.[Jun-Wei],
VSCode: General Visual Salient and Camouflaged Object Detection with
2D Prompt Learning,
CVPR24(17169-17180)
IEEE DOI Code:
WWW Link.
2410
Training, Visualization, Source coding, Termination of employment,
Object detection, Computer architecture
BibRef
Zhao, P.C.[Pan-Cheng],
Xu, P.[Peng],
Qin, P.[Pengda],
Fan, D.P.[Deng-Ping],
Zhang, Z.C.[Zhi-Cheng],
Jia, G.[Guoli],
Zhou, B.[Bowen],
Yang, J.F.[Ju-Feng],
LAKE-RED: Camouflaged Images Generation by Latent Background
Knowledge Retrieval-Augmented Diffusion,
CVPR24(4092-4101)
IEEE DOI Code:
WWW Link.
2410
Costs, Image synthesis, Source coding, Cognition,
Labeling, knowledge retrieval,
camouflage object detection
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
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, 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
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
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 .