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Spatial-Feature Parametric Clustering Applied to Motion-Based
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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,
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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
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
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.[Chunhong],
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
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.[Zhili],
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 .