8.7.1.2.5 Interactive Region Segmentations, Snakes, User-Assisted Segmentation

Chapter Contents (Back)
Deformable Curves. Snakes. Active Contours. Segmentation. Interactive Segmentation.
See also Interactive Medical Image Segmentations.
See also Interactive 3D Segmentations, Depth, Range, Stereo.
See also Interactive Motion Segmentation.
See also Image Editing, Interactive Editing, Image Manipulation.

Mortensen, E.N.[Eric N.], Barrett, W.A.[William A.],
Interactive Segmentation with Intelligent Scissors,
GMIP(60), No. 5, September 1998, pp. 349-384.
PDF File. BibRef 9809
Earlier:
Toboggan-Based Intelligent Scissors with a Four Parameter Edge Model,
CVPR99(II: 452-458).
IEEE DOI Extend the above. First find general boundaries -- i.e. using the gradient find the regions that are bounded by high gradients. Then interactive boundaries are easy. Interactive system. For implementation see:
See also Intellegent Scissors: Interactive tool for image segmentation. BibRef

Mortensen, E.N.[Eric N.],
Simultaneous Multi-Frame Subpixel Boundary Definition using Toboggan-Based Intelligent Scissors for Image and Movie Editing,
Ph.D.Thesis, Department of Computer Science, Brigham Young University, Provo, UT, December 2000.
HTML Version. BibRef 0012

Mortensen, E.N.[Eric N.],
Vision-Assisted Image Editing,
Computer Graphics(33), No. 4, November 1999, pp. 55-57.
PDF File. BibRef 9911

Mortensen, E.N.[Eric N.], Barrett, W.A.[William A.],
A Confidence Measure for Boundary Detection and Object Selection,
CVPR01(I:477-484).
IEEE DOI 0110
Create graph from watershed lines, determine whether the graph arc is a boundary. BibRef

Mortensen, E.N., Reese, L.J., Barrett, W.A.,
Intelligent selection tools,
CVPR00(II: 776-777).
IEEE DOI 0403
BibRef

Nyúl, L.G.[László G.], Falcão, A.X.[Alexandre X.], Udupa, J.K.[Jayaram K.],
Fuzzy-connected 3D image segmentation at interactive speeds,
GM(64), No. 5, September 2002, pp. 259-281.
Elsevier DOI 0309
BibRef

Vallin Spina, T.[Thiago], Vechiatto de Miranda, P.A.[Paulo André], Xavier Falcão, A.[Alexandre],
Hybrid Approaches for Interactive Image Segmentation Using the Live Markers Paradigm,
IP(23), No. 12, December 2014, pp. 5756-5769.
IEEE DOI 1412
BibRef
Earlier: A1, A3, A2:
User-Steered Image Segmentation Using Live Markers,
CAIP11(I: 211-218).
Springer DOI 1109
image segmentation BibRef

Vallin Spina, T.[Thiago], Montoya-Zegarra, J.A.[Javier A.], Vechiatto de Miranda, P.A.[Paulo André], Xavier Falcão, A.[Alexandre],
Improving User Control with Minimum Involvement in User-Guided Segmentation by Image Foresting Transform,
CAIP09(971-978).
Springer DOI 0909
BibRef

Luo, H.T.[Hui-Tao], Eleftheriadis, A.[Alexandros],
An interactive authoring system for video object segmentation and annotation,
SP:IC(17), No. 7, August 2002, pp. 559-572.
Elsevier DOI 0208
BibRef
Earlier:
Rubberband: an improved graph search algorithm for interactive object segmentation,
ICIP02(I: 101-104).
IEEE DOI 0210
BibRef

Luo, H.T.[Hui-Tao],
Efficient image-dependent object shape coding,
ICIP02(I: 169-172).
IEEE DOI 0210
BibRef

Harville, M.[Michael],
Segmenting video input using high-level feedback,
US_Patent6,999,620, Feb 14, 2006
WWW Link. BibRef 0602

Weese, J.[Juergen], Pekar, V.[Vladimir], Kaus, M.[Michael],
Image segmentation,
US_Patent7,010,164, Mar 7, 2006
WWW Link. From given shape model BibRef 0603

Bertelli, L.[Luca], Sumengen, B.[Baris], Manjunath, B.S., Gibou, F.[Frédéric],
A Variational Framework for Multiregion Pairwise-Similarity-Based Image Segmentation,
PAMI(30), No. 8, August 2008, pp. 1400-1414.
IEEE DOI 0806
BibRef
Earlier: A1, A2, A3, Only:
Redundancy in All Pairs Fast Marching Method,
ICIP06(3033-3036).
IEEE DOI 0610
BibRef
And: A1, A2, A3, Only:
Fast and Adaptive Pairwise Similarities for Graph Cuts-based Image Segmentation,
PercOrg06(179).
IEEE DOI 0609
BibRef

Bertelli, L.[Luca], Ghosh, P.[Pratim], Manjunath, B.S., Gibou, F.[Frederic],
Reference-based probabilistic segmentation as non-rigid registration using Thin Plate Splines,
ICIP08(3052-3055).
IEEE DOI 0810
BibRef

Ghosh, P., Bertelli, L., Sumengen, B., Manjunath, B.S.,
A Nonconservative Flow Field for Robust Variational Image Segmentation,
IP(19), No. 2, February 2010, pp. 478-490.
IEEE DOI 1002
BibRef

Vu, N.[Nhat], Manjunath, B.S.,
Shape prior segmentation of multiple objects with graph cuts,
CVPR08(1-8).
IEEE DOI 0806
BibRef

El Saban, M.A., Manjunath, B.S.,
Interactive segmentation using curve evolution and relevance feedback,
ICIP04(IV: 2725-2728).
IEEE DOI 0505
BibRef

Protiere, A.[Alexis], Sapiro, G.[Guillermo],
Interactive Image Segmentation via Adaptive Weighted Distances,
IP(16), No. 4, April 2007, pp. 1046-1057.
IEEE DOI 0704
BibRef

Shor, R.[Ronen],
Intellegent Scissors: Interactive tool for image segmentation,
Online2008.
HTML Version. Code, Segmentation. Implementation of
See also Interactive Segmentation with Intelligent Scissors. BibRef 0800

Shotton, J.D.J.[Jamie D.J.], Winn, J.[John], Rother, C.[Carsten], Criminisi, A.[Antonio],
TextonBoost for Image Understanding: Multi-Class Object Recognition and Segmentation by Jointly Modeling Texture, Layout, and Context,
IJCV(81), No. 1, January 2009, pp. xx-yy.
Springer DOI 0901
BibRef
And:
TextonBoost: Joint Appearance, Shape and Context Modeling for Multi-class Object Recognition and Segmentation,
ECCV06(I: 1-15).
Springer DOI 0608
BibRef

Shotton, J.D.J.[Jamie D.J.], Johnson, M.A.[Matthew A.], Cipolla, R.[Roberto],
Semantic texton forests for image categorization and segmentation,
CVPR08(1-8).
IEEE DOI 0806
BibRef

Wu, W., Yang, J.,
Semi-Automatically Labeling Objects in Images,
IP(18), No. 6, June 2009, pp. 1340-1349.
IEEE DOI 0905
SmartLabel, BibRef

McGuinness, K.[Kevin], O'Connor, N.E.[Noel E.],
A comparative evaluation of interactive segmentation algorithms,
PR(43), No. 2, February 2010, pp. 434-444.
Elsevier DOI 0910
Evaluation, Segmentation. Image segmentation; Interactive segmentation; Objective evaluation; Subjective evaluation; Fuzzy sets; User experiments BibRef

McGuinness, K.[Kevin], O'Connor, N.E.[Noel E.],
Toward automated evaluation of interactive segmentation,
CVIU(115), No. 6, June 2011, pp. 868-884.
Elsevier DOI 1104
Image segmentation; Interactive segmentation; Evaluation; Simulation; Automation; User experiments BibRef

Ning, J.F.[Ji-Feng], Zhang, L.[Lei], Zhang, D.[David], Wu, C.K.[Cheng-Ke],
Interactive image segmentation by maximal similarity based region merging,
PR(43), No. 2, February 2010, pp. 445-456.
Elsevier DOI 0910
Image segmentation; Region merging; Maximal similarity; Mean shift
See also NGVF: An improved external force field for active contour model. BibRef

Pauplin, O.[Olivier], Caleb-Solly, P.[Praminda], Smith, J.[Jim],
User-centric image segmentation using an interactive parameter adaptation tool,
PR(43), No. 2, February 2010, pp. 519-529.
Elsevier DOI 0910
Interactive evolution; Texture-based segmentation; Evolutionary algorithm BibRef

Ding, L.[Lei], Yilmaz, A.[Alper],
Interactive image segmentation using probabilistic hypergraphs,
PR(43), No. 5, May 2010, pp. 1863-1873.
Elsevier DOI 1003
Image segmentation; Interactive segmentation; Semi-supervised learning; Hypergraphs BibRef

Ding, L.[Lei], Yilmaz, A.[Alper], Yan, R.,
Interactive Image Segmentation Using Dirichlet Process Multiple-View Learning,
IP(21), No. 4, April 2012, pp. 2119-2129.
IEEE DOI 1204
BibRef

Ding, L.[Lei], Yilmaz, A.[Alper],
Enhancing Interactive Image Segmentation with Automatic Label Set Augmentation,
ECCV10(VI: 575-588).
Springer DOI 1009
BibRef

Li, H.D.[Hong-Dong], Shen, C.H.[Chun-Hua],
Interactive color image segmentation with linear programming,
MVA(21), No. 4, June 2010, pp. xx-yy.
Springer DOI 1006
BibRef

Tao, W.B.[Wen-Bing], Chang, F.[Feng], Liu, L.M.[Li-Man], Jin, H.[Hai], Wang, T.J.[Tian-Jiang],
Interactively multiphase image segmentation based on variational formulation and graph cuts,
PR(43), No. 10, October 2010, pp. 3208-3218.
Elsevier DOI 1007
Interactive image segmentation; Multiphase multiple piecewise constant; Graph cuts optimization; Multilayer graph BibRef

Yang, Y.[Yong], Han, S.D.[Shou-Dong], Wang, T.J.[Tian-Jiang], Tao, W.B.[Wen-Bing], Tai, X.C.[Xue-Cheng],
Multilayer graph cuts based unsupervised color-texture image segmentation using multivariate mixed student's t-distribution and regional credibility merging,
PR(46), No. 4, April 2013, pp. 1101-1124.
Elsevier DOI 1301
Unsupervised color-texture image segmentation; Multilayer graph cuts; Multivariate mixed student's t-distribution; Regional credibility merging BibRef

Yang, Y.[Yong], Guo, L.[Ling], Wang, T.J.[Tian-Jiang], Tao, W.B.[Wen-Bing], Shao, G.P.[Guang-Pu], Feng, Q.[Qi],
Unsupervised multiphase color-texture image segmentation based on variational formulation and multilayer graph,
IVC(32), No. 2, 2014, pp. 87-106.
Elsevier DOI 1403
Variational formulation BibRef

Liu, L.M.[Li-Man], Tao, W.B.[Wen-Bing],
Image segmentation by iterative optimization of multiphase multiple piecewise constant model and Four-Color relabeling,
PR(44), No. 12, December 2011, pp. 2819-2833.
Elsevier DOI 1107
Unsupervised image segmentation; Multiphase optimization; Four-Color relabeling; Iterative algorithm; Mean shift BibRef

Li, K.Q.[Kun-Qian], Tao, W.B.[Wen-Bing], Liu, X.B.[Xiao-Bai], Liu, L.M.[Li-Man],
Iterative image segmentation with feature driven heuristic four-color labeling,
PR(76), No. 1, 2018, pp. 69-79.
Elsevier DOI 1801
Image segmentation BibRef

Yang, W., Cai, J., Zheng, J., Luo, J.,
User-Friendly Interactive Image Segmentation Through Unified Combinatorial User Inputs,
IP(19), No. 9, September 2010, pp. 2470-2479.
IEEE DOI 1008
BibRef

Nguyen, T.N.A.[Thi Nhat Anh], Cai, J.F.[Jian-Fei], Zheng, J.M.[Jian-Min], Zheng, J.,
Robust Interactive Image Segmentation Using Convex Active Contours,
IP(21), No. 8, August 2012, pp. 3734-3743.
IEEE DOI 1208
BibRef

Nguyen, T.N.A.[Thi Nhat Anh], Cai, J.F.[Jian-Fei], Zheng, J.M.[Jian-Min], Li, J.G.[Jian-Guo],
Interactive object segmentation from multi-view images,
JVCIR(24), No. 4, May 2013, pp. 477-485.
Elsevier DOI 1305
Interactive image segmentation; Multi-view image segmentation; Image co-segmentation; Image segmentation; 3D graph-cut; Active contour; Object cutout; Joint 3D and 2D segmentation BibRef

Zhou, H.L.[Hai-Ling], Zheng, J.M.[Jian-Min], Wei, L.[Lei],
Texture aware image segmentation using graph cuts and active contours,
PR(46), No. 6, June 2013, pp. 1719-1733.
Elsevier DOI 1302
Interactive image segmentation; Graph cut; Active contour; Color-texture; Structure tensor BibRef

Ge, Q.[Qi], Xiao, L.[Liang], Zhang, J.[Jun], Wei, Z.H.[Zhi Hui],
A robust patch-statistical active contour model for image segmentation,
PRL(33), No. 12, 1 September 2012, pp. 1549-1557.
Elsevier DOI 1208
Active contour model; Image segmentation; Weighting-estimated statistical information; Intensity variation penalization term; Gradient information BibRef

Wang, L.Q.[Li-Qian], Xiao, L.[Liang], Liu, H.Y.[Hong-Yi], Wei, Z.H.[Zhi-Hui],
Local brightness adaptive image colour enhancement with Wasserstein distance,
IET-IPR(9), No. 1, 2015, pp. 43-53.
DOI Link 1502
gradient methods BibRef

Ge, Q.[Qi], Xiao, L.[Liang], Wang, L.Q.[Li Qian], Zhang, Z.R.[Zheng Rong], Wei, Z.H.[Zhi Hui],
A hybrid active contour model with structure feature for image segmentation,
ICIP13(1242-1246)
IEEE DOI 1402
Active contours BibRef

Ng, M.K.[Michael K.], Qiu, G.P.[Guo-Ping], Yip, A.M.[Andy M.],
Numerical methods for interactive multiple-class image segmentation problems,
IJIST(20), No. 3, September 2010, pp. 191-201.
DOI Link 1008
image segmentation; discrete maximum principle; domain decomposition; M-matrix; condition numbers; boundary conditions BibRef

de Miranda, P.A.V., Falcao, A.X., Udupa, J.K.,
Synergistic arc-weight estimation for interactive image segmentation using graphs,
CVIU(114), No. 1, January 2010, pp. 85-99.
Elsevier DOI 1001
Image foresting transform; Graph-cut segmentation; Relative-fuzzy connectedness; Watershed transform; Live-wire segmentation; Contour tracking; Interactive segmentation; Graph-search algorithms; [kappa]-Connected segmentation
See also Links Between Image Segmentation Based on Optimum-Path Forest and Minimum Cut in Graph. BibRef

Spina, T.V.[Thiago V.], Falcao, A.X.[Alexandre X.],
Robot users for the evaluation of boundary-tracking approaches in interactive image segmentation,
ICIP14(3248-3252)
IEEE DOI 1502
Image segmentation BibRef

Miranda, P.A.V.[Paulo A. V.], Falcao, A.X.[Alexandre X.], Spina, T.V.[Thiago V.],
The riverbed approach for user-steered image segmentation,
ICIP11(3133-3136).
IEEE DOI 1201
BibRef

Koo, H.I.[Hyung Il], Lee, S.H.[Sang Hwa], Cho, N.I.[Nam Ik],
Bayesian object extraction from uncalibrated image pairs,
SP:IC(22), No. 10, November 2007, pp. 866-876.
Elsevier DOI 0711
Segmentation; MRF models; SIFT; Homography BibRef

Lee, S.H.[Sang Hak], Koo, H.I.[Hyung Il], Cho, N.I.[Nam Ik],
Image segmentation algorithms based on the machine learning of features,
PRL(31), No. 14, 15 October 2010, pp. 2325-2336.
Elsevier DOI 1003
BibRef
And:
A video object segmentation algorithm based on the feature learning and shape tracking,
ICIP10(4673-4676).
IEEE DOI 1009
BibRef
Earlier:
An unsupervised image segmentation algorithm based on the machine learning of appropriate features,
ICIP09(4037-4040).
IEEE DOI 0911
Image segmentation; Interactive image segmentation; Unsupervised image segmentation; AdaBoost; Image features BibRef

Koo, H.I.[Hyung Il], Cho, N.I.[Nam Ik],
Boosting image segmentation,
ICIP08(3192-3195).
IEEE DOI 0810
BibRef

Koo, H.I.[Hyung Il], Lee, S.H.[Sang Hwa], Cho, N.I.[Nam Ik], Kim, S.K.[Seong Keun], Lee, D.H.[Dong Hahk], Lee, S.H.[Sung-Hoon],
MAP-Based Object Extraction from Uncalibrated Image Pair,
ICIP06(2425-2428).
IEEE DOI 0610
BibRef

Cong, L.[Lin], Tong, R.F.[Ruo-Feng], Dong, J.X.[Jin-Xiang],
Selective image abstraction,
VC(27), No. 3, March 2011, pp. 187-198.
WWW Link. 1103
Selective stylized versions. The user specifies areas to keep the same, the rest is simplified. BibRef

Batra, D.[Dhruv], Kowdle, A.[Adarsh], Parikh, D.[Devi], Luo, J.B.[Jie-Bo], Chen, T.H.[Tsu-Han],
Interactively Co-segmentating Topically Related Images with Intelligent Scribble Guidance,
IJCV(93), No. 3, July 2011, pp. 273-292.
WWW Link. 1104
BibRef
Earlier:
iCoseg: Interactive co-segmentation with intelligent scribble guidance,
CVPR10(3169-3176).
IEEE DOI 1006
BibRef

Kowdle, A.[Adarsh], Chang, Y.J.[Yao-Jen], Gallagher, A.C.[Andrew C.], Batra, D.[Dhruv], Chen, T.H.[Tsu-Han],
Putting the User in the Loop for Image-Based Modeling,
IJCV(108), No. 1-2, May 2014, pp. 30-48.
Springer DOI 1405
BibRef
Earlier: A1, A2, A4, A5, Only:
Scribble based interactive 3D reconstruction via scene co-segmentation,
ICIP11(2577-2580).
IEEE DOI 1201
BibRef

Batra, D.[Dhruv], Parikh, D.[Devi], Kowdle, A.[Adarsh], Chen, T.H.[Tsu-Han], Luo, J.B.[Jie-Bo],
Seed Image Selection in interactive cosegmentation,
ICIP09(2393-2396).
IEEE DOI 0911
BibRef

Batra, D.[Dhruv], Kowdle, A.[Adarsh], Parikh, D.[Devi], Luo, J.B.[Jie-Bo], Chen, T.H.[Tsu-Han],
Interactive Co-segmentation of Objects in Image Collections,
SpringerNew-York, 2011. ISBN: 978-1-4614-1914-3
WWW Link. Buy this book: Interactive Co-segmentation of Objects in Image Collections (SpringerBriefs in Computer Science) 1111
BibRef

Passat, N.[Nicolas], Naegel, B.[Benoit], Rousseau, F.[Francois], Koob, M.[Meriam], Dietemann, J.L.[Jean-Louis],
Interactive segmentation based on component-trees,
PR(44), No. 10-11, October-November 2011, pp. 2539-2554.
Elsevier DOI 1101
Mathematical morphology; Component-tree; Grey-level images; Interactive segmentation
See also Interactive Segmentation Based on Component-trees. BibRef

Naegel, B.[Benoît], Passat, N.[Nicolas],
Interactive Segmentation Based on Component-trees,
IPOL(2014), No. 2014, pp. 89-97.
DOI Link 1405
Code, Segmentation. BibRef

Kowalczyk, M.K.[Michal Kazimierz], Kerautret, B.[Bertrand], Naegel, B.[Benoît], Weber, J.[Jonathan],
Revisiting Component Tree Based Segmentation Using Meaningful Photometric Informations,
ICCVG12(475-482).
Springer DOI 1210
BibRef

Zhong, F.[Fan], Qin, X.Y.[Xue-Ying], Peng, Q.S.[Qun-Sheng],
Robust image segmentation against complex color distribution,
VC(27), No. 6-8, June 2011, pp. 707-716.
WWW Link. 1107
Interactive segmentation. BibRef

Pan, Y.S.[Yong-Sheng], Jeong, W.K.[Won-Ki], Whitaker, R.T.[Ross T.],
Markov surfaces: A probabilistic framework for user-assisted three-dimensional image segmentation,
CVIU(115), No. 10, October 2011, pp. 1375-1383.
Elsevier DOI 1108
Image segmentation; Probabilistic framework; Markov chain; GPU BibRef

Noma, A.[Alexandre], Graciano, A.B.V.[Ana B.V.], Cesar, Jr., R.M.[Roberto M.], Consularo, L.A.[Luis A.], Bloch, I.[Isabelle],
Interactive image segmentation by matching attributed relational graphs,
PR(45), No. 3, March 2012, pp. 1159-1179.
Elsevier DOI 1111
Interactive image segmentation; Matching attributed relational graphs; Deformed graph; Spatial configuration BibRef

Consularo, L.A.[Luis Augusto], Cesar, R.M.[Roberto M.], Bloch, I.[Isabelle],
Structural Image Segmentation with Interactive Model Generation,
ICIP07(VI: 45-48).
IEEE DOI 0709
Segmentation by oversegmentation and user sketch. BibRef

Mao, C.[Cui], Gururajan, A.[Arunkumar], Sari-Sarraf, H.[Hamed], Hequet, E.[Eric],
Machine vision scheme for stain-release evaluation using Gabor filters with optimized coefficients,
MVA(23), No. 2, March 2012, pp. 349-361.
WWW Link. 1202
BibRef

Gururajan, A.[Arunkumar], Sari-Sarraf, H.[Hamed], Hequet, E.[Eric],
Interactive texture segmentation via IT-SNAPS,
Southwest10(129-132).
IEEE DOI 1005
BibRef

Kim, T.K.[Tae-Kyun], Budvytis, I.[Ignas], Cipolla, R.[Roberto],
Making a Shallow Network Deep: Conversion of a Boosting Classifier into a Decision Tree by Boolean Optimisation,
IJCV(100), No. 2, November 2012, pp. 203-215.
WWW Link. 1209
BibRef
Earlier:
Making a Shallow Network Deep: Growing a Tree from Decision Regions of a Boosting Classifier,
BMVC10(xx-yy).
HTML Version. 1009
BibRef

Badrinarayanan, V.[Vijay], Budvytis, I.[Ignas], Cipolla, R.[Roberto],
Semi-Supervised Video Segmentation Using Tree Structured Graphical Models,
PAMI(35), No. 11, 2013, pp. 2751-2764.
IEEE DOI 1309
BibRef
Earlier: A2, A1, A3: CVPR11(2257-2264).
IEEE DOI 1106
BibRef
Earlier: A2, A1, A3:
Label propagation in complex video sequences using semi-supervised learning,
BMVC10(xx-yy).
HTML Version. 1009
Computational modeling BibRef

Badrinarayanan, V.[Vijay], Budvytis, I.[Ignas], Cipolla, R.[Roberto],
Mixture of Trees Probabilistic Graphical Model for Video Segmentation,
IJCV(110), No. 1, October 2014, pp. 14-29.
Springer DOI
WWW Link. 1410
BibRef
Earlier: A2, A1, A3:
MoT: Mixture of Trees Probabilistic Graphical Model for Video Segmentation,
BMVC12(72).
DOI Link 1301
BibRef

Galasso, F.[Fabio], Cipolla, R.[Roberto], Schiele, B.[Bernt],
Video Segmentation with Superpixels,
ACCV12(I:760-774).
Springer DOI 1304
BibRef

Badrinarayanan, V.[Vijay], Galasso, F.[Fabio], Cipolla, R.[Roberto],
Label propagation in video sequences,
CVPR10(3265-3272).
IEEE DOI 1006
propogate the small set of hand labeled pixels. BibRef

Bai, X.[Xue], Zhao, Y.B.[Yi-Biao], Luo, S.W.[Si-Wei],
Normalized Joint Mutual Information Measure for Ground Truth Based Segmentation Evaluation,
IEICE(E95-D), No. 10, October 2012, pp. 2581-2584.
WWW Link. 1210
BibRef

Bai, X.[Xue], Zhao, Y.B.[Yi-Biao], Huang, Y.P.[Ya-Ping], Luo, S.W.[Si-Wei],
Normalized Joint Mutual Information Measure for Image Segmentation Evaluation with Multiple Ground-Truth Images,
CAIP11(I: 110-117).
Springer DOI 1109
BibRef

Zhao, Y.B.[Yi-Biao], Nie, X.H.[Xiao-Han], Duan, Y.B.[Yan-Biao], Huang, Y.P.[Ya-Ping], Luo, S.W.[Si-Wei],
A benchmark for interactive image segmentation algorithms,
POV11(33-38).
IEEE DOI 1101
BibRef

Kohli, P.[Pushmeet], Nickisch, H.[Hannes], Rother, C.[Carsten], Rhemann, C.[Christoph],
User-Centric Learning and Evaluation of Interactive Segmentation Systems,
IJCV(100), No. 3, December 2012, pp. 261-274.
WWW Link. 1210
BibRef
Earlier: A2, A3, A1, A4:
Learning an interactive segmentation system,
ICCVGIP10(274-281).
DOI Link 1111
BibRef

Freedman, D.[Daniel],
An improved image graph for semi-automatic segmentation,
SIViP(6), No. 4, November 2012, pp. 533-545.
WWW Link. 1210
BibRef

Li, Y.[Yan], Tax, D.M.J.[David M.J.], Loog, M.[Marco],
Scale selection for supervised image segmentation,
IVC(30), No. 12, December 2012, pp. 991-1003.
Elsevier DOI 1212
BibRef
Earlier:
Supervised Scale-Invariant Segmentation (and Detection),
SSVM11(350-361).
Springer DOI 1201
Scale selection; Image segmentation; Supervised learning; Scale space theory; Max rule BibRef

Li, Y.[Yan], Duin, R.P.W.[Robert P. W.], Loog, M.[Marco],
Combining multi-scale dissimilarities for image classification,
ICPR12(1639-1642).
WWW Link. 1302
BibRef

Li, Y.[Yan], Loog, M.[Marco],
Scale-invariant sampling for supervised image segmentation,
ICPR12(1399-1402).
WWW Link. 1302
BibRef

Andrade, M.C.[Marcos Carneiro],
An Interactive Deformable Model Segmentation Algorithm Driven by Morphological Dilations and Erosions Constrained by an Exclusion Band,
ELCVIA(11), No. 1, 2012, pp. xx-yy.
DOI Link 1301
BibRef

Nieuwenhuis, C.[Claudia], Cremers, D.[Daniel],
Spatially Varying Color Distributions for Interactive Multilabel Segmentation,
PAMI(35), No. 5, May 2013, pp. 1234-1247.
IEEE DOI 1304
BibRef

Nieuwenhuis, C.[Claudia], Töppe, E.[Eno], Cremers, D.[Daniel],
A Survey and Comparison of Discrete and Continuous Multi-label Optimization Approaches for the Potts Model,
IJCV(104), No. 3, September 2013, pp. 223-240.
WWW Link. 1308
BibRef
Earlier:
Space-Varying Color Distributions for Interactive Multiregion Segmentation: Discrete versus Continuous Approaches,
EMMCVPR11(177-190).
Springer DOI 1107
BibRef

Panagiotakis, C.[Costas], Papadakis, H.[Harris], Grinias, E.[Elias], Komodakis, N.[Nikos], Fragopoulou, P.[Paraskevi], Tziritas, G.[Georgios],
Interactive image segmentation based on synthetic graph coordinates,
PR(46), No. 11, November 2013, pp. 2940-2952.
Elsevier DOI 1306
Image segmentation; Interactive image segmentation; Network coordinates; Community detection; Markov Random Field BibRef

Panagiotakis, C.[Costas], Papadakis, H.[Harris],
Interactive Image Segmentation via Graph Clustering and Synthetic Coordinates Modeling,
CAIP13(589-596).
Springer DOI 1308
BibRef

Yuan, X.S.[Xing-Sheng], Xiang, F.T.[Feng-Tao], Wang, Z.Z.[Zheng-Zhi],
Semi-automatic object segmentation using colour invariance and Graph cuts,
IET-IPR(8), No. 2, February 2014, pp. 69-77.
DOI Link 1403
graph theory BibRef

He, J.[Jia], Kim, C.S.[Chang-Su], Kuo, C.C.J.[C.C. Jay],
Interactive Segmentation Techniques: Algorithms and Performance Evaluation,

Springer2014. ISBN 978-981-4451-59-8.
WWW Link. 1404
BibRef

Jung, C.[Cheolkon], Jian, M.[Meng], Liu, J.[Juan], Jiao, L.C.[Li-Cheng], Shen, Y.B.[Yan-Bo],
Interactive image segmentation via kernel propagation,
PR(47), No. 8, 2014, pp. 2745-2755.
Elsevier DOI 1405
Interactive image segmentation BibRef

Jian, M.[Meng], Jung, C.[Cheolkon],
Interactive Image Segmentation Using Adaptive Constraint Propagation,
IP(25), No. 3, March 2016, pp. 1301-1311.
IEEE DOI 1602
Coherence BibRef

Kang, S.H.[Sung Ha], Shafei, B.[Behrang], Steidl, G.[Gabriele],
Supervised and transductive multi-class segmentation using p-Laplacians and RKHS methods,
JVCIR(25), No. 5, 2014, pp. 1136-1148.
Elsevier DOI 1406
Multi-class BibRef

Fitschen, J.H.[Jan Henrik], Losch, K.[Katharina], Steidl, G.[Gabriele],
Unsupervised multi class segmentation of 3D images with intensity inhomogeneities,
JVCIR(46), No. 1, 2017, pp. 312-323.
Elsevier DOI 1706
Image, processing BibRef

Kang, S.H.[Sung Ha], March, R.[Riccardo],
Multiphase image segmentation via equally distanced multiple well potential,
JVCIR(25), No. 6, 2014, pp. 1446-1459.
Elsevier DOI 1407
Image segmentation BibRef

Gass, T.[Tobias], Székely, G.[Gábor], Goksel, O.[Orcun],
Simultaneous Segmentation and Multiresolution Nonrigid Atlas Registration,
IP(23), No. 7, July 2014, pp. 2931-2943.
IEEE DOI 1407
BibRef
And:
Registration Fusion Using Markov Random Fields,
WBIR14(213-222).
Springer DOI 1407
BibRef
Earlier:
Semi-supervised Segmentation Using Multiple Segmentation Hypotheses from a Single Atlas,
MCVM12(29-37).
Springer DOI 1305
Bayes methods BibRef

Fourie, C.[Christoff], Schoepfer, E.[Elisabeth],
Data Transformation Functions for Expanded Search Spaces in Geographic Sample Supervised Segment Generation,
RS(6), No. 5, 2014, pp. 3791-3821.
DOI Link 1407
supervised segment generation. BibRef

Fourie, C.[Christoff], Schoepfer, E.[Elisabeth],
Classifier Directed Data Hybridization for Geographic Sample Supervised Segment Generation,
RS(6), No. 12, 2014, pp. 11852-11882.
DOI Link 1412
BibRef

Fourie, C.[Christoff],
On Attribute Thresholding and Data Mapping Functions in a Supervised Connected Component Segmentation Framework,
RS(7), No. 6, 2015, pp. 7350.
DOI Link 1507
BibRef

Waggoner, J.[Jarrell], Zhou, Y.J.[You-Jie], Simmons, J.[Jeff], de Graef, M.[Marc], Wang, S.[Song],
Graph-cut based interactive segmentation of 3D materials-science images,
MVA(25), No. 6, 2014, pp. 1615-1629.
Springer DOI 1408
BibRef

Garcia-Cardona, C., Merkurjev, E.[Ekaterina], Bertozzi, A.L., Flenner, A., Percus, A.G.,
Multiclass Data Segmentation Using Diffuse Interface Methods on Graphs,
PAMI(36), No. 8, August 2014, pp. 1600-1613.
IEEE DOI 1407
Equations BibRef

Bae, E.[Egil], Merkurjev, E.[Ekaterina],
Convex Variational Methods on Graphs for Multiclass Segmentation of High-Dimensional Data and Point Clouds,
JMIV(58), No. 3, July 2017, pp. 468-493.
Springer DOI 1706
BibRef

Shen, J., Du, Y., Li, X.,
Interactive Segmentation Using Constrained Laplacian Optimization,
CirSysVideo(24), No. 7, July 2014, pp. 1088-1100.
IEEE DOI 1407
Approximation algorithms BibRef

Zhang, L., Yang, Y., Gao, Y., Yu, Y., Wang, C., Li, X.,
A Probabilistic Associative Model for Segmenting Weakly Supervised Images,
IP(23), No. 9, September 2014, pp. 4150-4159.
IEEE DOI 1410
belief networks BibRef

Senyukova, O.V.[Olga V.],
Segmentation of blurred objects by classification of isolabel contours,
PR(47), No. 12, 2014, pp. 3881-3889.
Elsevier DOI 1410
Blurred objects segmentation BibRef

Jalba, A.C., Westenberg, M.A., Roerdink, J.B.T.M.,
Interactive Segmentation and Visualization of DTI Data Using a Hierarchical Watershed Representation,
IP(24), No. 3, March 2015, pp. 1025-1035.
IEEE DOI 1502
Data visualization BibRef

Meka, A., Chaudhuri, S.,
A Technique for Simultaneous Visualization and Segmentation of Hyperspectral Data,
GeoRS(53), No. 4, April 2015, pp. 1707-1717.
IEEE DOI 1502
geophysical image processing BibRef

Mille, J.[Julien], Bougleux, S.[Sébastien], Cohen, L.D.[Laurent D.],
Combination of Piecewise-Geodesic Paths for Interactive Segmentation,
IJCV(112), No. 1, March 2015, pp. 1-22.
Springer DOI 1503
BibRef

Dollar, P.[Piotr], Zitnick, C.L.[C. Lawrence],
Fast Edge Detection Using Structured Forests,
PAMI(37), No. 8, August 2015, pp. 1558-1570.
IEEE DOI 1507
BibRef
Earlier:
Structured Forests for Fast Edge Detection,
ICCV13(1841-1848)
IEEE DOI 1403
Detectors. edge detection; realtime vision; structure learning BibRef

Lim, J.J.[Joseph J.], Zitnick, C.L.[C. Lawrence], Dollar, P.[Piotr],
Sketch Tokens: A Learned Mid-level Representation for Contour and Object Detection,
CVPR13(3158-3165)
IEEE DOI 1309
Use hand drawn contours to learn. BibRef

Bhattacharjee, S.D.[Sreyasee Das], Mittal, A.[Anurag],
Part-based deformable object detection with a single sketch,
CVIU(139), No. 1, 2015, pp. 73-87.
Elsevier DOI 1509
Hand-drawn sketches BibRef

Bhattacharjee, S.D., Yuan, J., Tan, Y.P., Duan, L.Y.,
Query-Adaptive Small Object Search Using Object Proposals and Shape-Aware Descriptors,
MultMed(18), No. 4, April 2016, pp. 726-737.
IEEE DOI 1604
Clutter BibRef

Marvaniya, S.[Smit], Bhattacharjee, S.[Sreyasee], Manickavasagam, V.[Venkatesh], Mittal, A.[Anurag],
Drawing an Automatic Sketch of Deformable Objects Using Only a Few Images,
NORDIA12(I: 63-72).
Springer DOI 1210
BibRef

Gueziri, H.E.[Houssem-Eddine], McGuffin, M.J.[Michael J.], Laporte, C.[Catherine],
A generalized graph reduction framework for interactive segmentation of large images,
CVIU(150), No. 1, 2016, pp. 44-57.
Elsevier DOI 1608
BibRef
Earlier:
User-guided graph reduction for fast image segmentation,
ICIP15(286-290)
IEEE DOI 1512
Interactive segmentation. Random Walker BibRef

Xian, M.[Min], Zhang, Y.T.[Ying-Tao], Cheng, H.D.[Heng-Da], Xu, F.[Fei], Ding, J.R.[Jian-Rui],
Neutro-Connectedness Cut,
IP(25), No. 10, October 2016, pp. 4691-4703.
IEEE DOI 1610
image segmentation BibRef

Xu, X.C.[Xiao-Cheng], Ma, J.[Jun], Nie, L.Q.[Li-Qiang],
Weakly supervised image parsing via label propagation over discriminatively semantic graph,
JVCIR(40, Part B), No. 1, 2016, pp. 808-815.
Elsevier DOI 1610
Weakly supervised image parsing BibRef

Luo, L.K.[Ling-Kun], Wang, X.F.[Xiao-Fang], Hu, S.Q.[Shi-Qiang], Hu, X.[Xin], Chen, L.M.[Li-Ming],
Interactive image segmentation based on samples reconstruction and FLDA,
JVCIR(43), No. 1, 2017, pp. 138-151.
Elsevier DOI 1702
FLDA BibRef

Golodetz, S.[Stuart], Voiculescu, I.[Irina], Cameron, S.[Stephen],
Simpler editing of graph-based segmentation hierarchies using zipping algorithms,
PR(70), No. 1, 2017, pp. 44-59.
Elsevier DOI 1706
Graph-based BibRef

Kim, K., Jung, S.W.,
Interactive Image Segmentation Using Semi-transparent Wearable Glasses,
MultMed(20), No. 1, January 2018, pp. 208-223.
IEEE DOI 1801
image segmentation, interactive devices, interactive image segmentation techniques, wearable device BibRef

Wang, T.[Tao], Ji, Z.X.[Ze-Xuan], Sun, Q.S.[Quan-Sen], Chen, Q.A.[Qi-Ang], Ge, Q.[Qi], Yang, J.[Jian],
Diffusive likelihood for interactive image segmentation,
PR(79), 2018, pp. 440-451.
Elsevier DOI 1804
Interactive image segmentation, Likelihood diffusion, Perceptual learning, Graph cuts BibRef

Shi, R.[Ran], Ngan, K.N.[King Ngi], Li, S.[Songnan], Li, H.L.[Hong-Liang],
Interactive object segmentation in two phases,
SP:IC(65), 2018, pp. 107-114.
Elsevier DOI 1805
Object segmentation, Contrast, Level BibRef
Earlier: A1, A2, A3, Only:
Jaccard index compensation for object segmentation evaluation,
ICIP14(4457-4461)
IEEE DOI 1502
Image segmentation BibRef

Huo, S., Zhou, Y., Lei, J., Ling, N., Hou, C.,
Iterative Feedback Control-Based Salient Object Segmentation,
MultMed(20), No. 6, June 2018, pp. 1350-1364.
IEEE DOI 1805
Feature extraction, Feedback control, Image color analysis, Linear feedback control systems, Object detection, Visualization, linear control system BibRef

Chen, D.J.[Ding-Jie], Chen, H.T.[Hwann-Tzong], Chang, L.W.[Long-Wen],
Interactive 1-bit feedback segmentation using transductive inference,
MVA(29), No. 4, May 2018, pp. 617-631.
Springer DOI 1805
BibRef

Chen, D.J.[Ding-Jie], Chen, H.T.[Hwann-Tzong], Chang, L.W.[Long-Wen],
Toward a unified scheme for fast interactive segmentation,
JVCIR(55), 2018, pp. 393-403.
Elsevier DOI 1809
Interactive, Image segmentation, Manifold ranking, Machine-assisted BibRef

Bernard, J.[Jürgen], Zeppelzauer, M.[Matthias], Sedlmair, M.[Michael], Aigner, W.[Wolfgang],
VIAL: a unified process for visual interactive labeling,
VC(34), No. 9, September 2018, pp. 1189-1207.
Springer DOI 1809
BibRef

Wang, T., Yang, J., Ji, Z., Sun, Q.,
Probabilistic Diffusion for Interactive Image Segmentation,
IP(28), No. 1, January 2019, pp. 330-342.
IEEE DOI 1810
Image segmentation, Probabilistic logic, Robustness, Optimization, Manifolds, Feature extraction, Sun, Interactive image segmentation, unary potentials BibRef

Peng, Z.L.[Zi-Li], Li, Q.L.[Qiao-Liang],
Adaptive appearance separation for interactive image segmentation based on Dense CRF,
IET-IPR(13), No. 1, January 2019, pp. 142-151.
DOI Link 1812
BibRef

Spencer, J.[Jack], Chen, K.[Ke], Duan, J.M.[Jin-Ming],
Parameter-Free Selective Segmentation With Convex Variational Methods,
IP(28), No. 5, May 2019, pp. 2163-2172.
IEEE DOI 1903
image segmentation, variational techniques, general intensity fitting term, computed tomography BibRef

Subudhi, P.[Priyambada], Mukhopadhyay, S.[Susanta],
An efficient graph reduction framework for interactive texture segmentation,
SP:IC(74), 2019, pp. 42-53.
Elsevier DOI 1904
Graph cuts, Graph reduction, Non-decimated Complex Wavelet Transform, Texture descriptor, Object segmentation BibRef

Jain, S.D.[Suyog Dutt], Grauman, K.[Kristen],
Click Carving: Interactive Object Segmentation in Images and Videos with Point Clicks,
IJCV(127), No. 9, September 2019, pp. 1321-1344.
Springer DOI 1908
BibRef

Mequanint, E.Z.[Eyasu Zemene], Alemu, L.T.[Leulseged Tesfaye], Pelillo, M.[Marcello],
Dominant Sets for 'Constrained' Image Segmentation,
PAMI(41), No. 10, October 2019, pp. 2438-2451.
IEEE DOI 1909
Image segmentation, Optimization, Standards, Coherence, Robustness, Task analysis, game dynamics BibRef

Aslan, S.[Sinem], Pelillo, M.[Marcello],
Weakly Supervised Semantic Segmentation Using Constrained Dominant Sets,
CIAP19(II:425-436).
Springer DOI 1909
BibRef

Alemu, L.T.[Leulseged Tesfaye], Pelillo, M.[Marcello],
Multi-feature fusion for image retrieval using constrained dominant sets,
IVC(94), 2020, pp. 103862.
Elsevier DOI 2003
Image retrieval, Multi-feature fusion, Diffusion process BibRef

Zemene, E.[Eyasu], Pelillo, M.[Marcello],
Interactive Image Segmentation Using Constrained Dominant Sets,
ECCV16(VIII: 278-294).
Springer DOI 1611
BibRef

Peng, Z.L.[Zi-Li], Qu, S.J.[Shao-Jun], Li, Q.L.[Qiao-Liang],
Interactive image segmentation using geodesic appearance overlap graph cut,
SP:IC(78), 2019, pp. 159-170.
Elsevier DOI 1909
Graph-cut, Geodesic, Appearance overlap, Interactive image segmentation BibRef

Tran, N.H.[Nam H.], Seo, D.S.[Dong-Sun], Woo, D.M.[Dong-Min], Won, Y.Y.[Yong-Yuk], Tu, H.T.[Hieu T.],
Alpha cut for interactive image segmentation of thin and elongated objects,
IET-IPR(13), No. 11, 19 September 2019, pp. 1951-1959.
DOI Link 1909
BibRef

Badoual, A.[Anaïs], Unser, M.[Michael], Depeursinge, A.[Adrien],
Texture-driven parametric snakes for semi-automatic image segmentation,
CVIU(188), 2019, pp. 102793.
Elsevier DOI 1910
Segmentation, Texture, Supervised learning, Interactive, Circular harmonic wavelets, Parametric snake, Active contour, Fisher's linear discriminant analysis BibRef

Majumder, S.[Soumajit], Yao, A.[Angela],
Localized Interactive Instance Segmentation,
GCPR19(522-536).
Springer DOI 1911
BibRef

Zhang, L.[Liao], Yan, Y.[Yan], Cheng, L.[Lin], Wang, H.Z.[Han-Zi],
Learning Object Scale with Click Supervision for Object Detection,
SPLetters(26), No. 11, November 2019, pp. 1618-1622.
IEEE DOI 1911
convolutional neural nets, data visualisation, object detection, weakly-supervised object detection, image-level annotations, click supervision BibRef

Willcocks, C.G.[Chris G.], Jackson, P.T.G.[Philip T. G.], Nelson, C.J.[Carl J.], Nasrulloh, A.V.[Amar V.], Obara, B.[Boguslaw],
Interactive GPU active contours for segmenting inhomogeneous objects,
RealTimeIP(16), No. 6, December 2019, pp. 2305-2318.
Springer DOI 1912
BibRef

Nie, Y.W.[Yong-Wei], Cao, X.[Xu], Li, P.[Ping], Zhang, Q.[Qing], Zhang, Z.S.[Zhen-Song], Li, G.Q.[Gui-Qing], Sun, H.Q.[Han-Qiu],
Interactive Contour Extraction via Sketch-Alike Dense-Validation Optimization,
CirSysVideo(30), No. 4, April 2020, pp. 903-916.
IEEE DOI 2004
Image segmentation, Image edge detection, Splines (mathematics), Heuristic algorithms, Dynamic programming, Computer science, dynamic programming BibRef

Yang, S., Kim, Y., Kim, Y., Kim, C.,
Combinational Class Activation Maps for Weakly Supervised Object Localization,
WACV20(2930-2938)
IEEE DOI 2006
Task analysis, Object recognition, Training, Semantics, Image segmentation, Error analysis, Marine vehicles BibRef

Chen, D., Chen, H., Chang, L.,
SwipeCut: Interactive Segmentation via Seed Grouping,
CirSysVideo(30), No. 9, September 2020, pp. 2959-2970.
IEEE DOI 2009
Image segmentation, Proposals, Labeling, Task analysis, Performance evaluation, Indexes, seed proposals BibRef

Song, G., Lee, K.M.,
Bi-Directional Seed Attention Network for Interactive Image Segmentation,
SPLetters(27), 2020, pp. 1540-1544.
IEEE DOI 2009
Image segmentation, Bidirectional control, Semantics, Decoding, Signal processing algorithms, interactive segmentation BibRef

Bragantini, J.[Jordão], Moura, B.[Bruno], Falcão, A.X.[Alexandre X.], Cappabianco, F.A.M.[Fábio A.M.],
Grabber: A tool to improve convergence in interactive image segmentation,
PRL(140), 2020, pp. 267-273.
Elsevier DOI 2012
User interaction in image segmentation, Contour-based object delineation, Image foresting transform, Deep neural networks BibRef

Zhang, H., Luo, G., Tian, Y., Wang, K., He, H., Wang, F.Y.,
A Virtual-Real Interaction Approach to Object Instance Segmentation in Traffic Scenes,
ITS(22), No. 2, February 2021, pp. 863-875.
IEEE DOI 2102
Image segmentation, Annotations, Computational modeling, Automation, Object detection, Visualization, Instance segmentation, autonomous vehicles BibRef

Sun, H., Zheng, X., Lu, X.,
A Supervised Segmentation Network for Hyperspectral Image Classification,
IP(30), 2021, pp. 2810-2825.
IEEE DOI 2102
Hyperspectral imaging, Feature extraction, Training, Task analysis, Imaging, Image segmentation, Testing, generalization BibRef

Lu, W.X.[Wan-Xuan], Gong, D.[Dong], Fu, K.[Kun], Sun, X.[Xian], Diao, W.H.[Wen-Hui], Liu, L.Q.[Ling-Qiao],
Boundarymix: Generating pseudo-training images for improving segmentation with scribble annotations,
PR(117), 2021, pp. 107924.
Elsevier DOI 2106
Weakly-supervised segmentation, Scribble, Boundary mix BibRef

Wang, T.[Tao], Ji, Z.[Zexuan], Yang, J.[Jian], Sun, Q.S.[Quan-Sen], Fu, P.[Peng],
Global Manifold Learning for Interactive Image Segmentation,
MultMed(23), 2021, pp. 3239-3249.
IEEE DOI 2109
Image segmentation, Manifolds, Estimation, Tensile stress, Sun, Probabilistic logic, Geometry, Interactive image segmentation, label propagation BibRef

Lu, Y.H.[Yu-Hang], Zheng, K.[Kang], Li, W.J.[Wei-Jian], Wang, Y.R.[Yi-Rui], Harrison, A.P.[Adam P.], Lin, C.H.[Chi-Hung], Wang, S.[Song], Xiao, J.[Jing], Lu, L.[Le], Kuo, C.F.[Chang-Fu], Miao, S.[Shun],
Contour Transformer Network for One-Shot Segmentation of Anatomical Structures,
MedImg(40), No. 10, October 2021, pp. 2672-2684.
IEEE DOI 2110
Image segmentation, Shape, Training, Biomedical imaging, Anatomical structure, X-ray imaging, Task analysis, human-in-the-loop BibRef

Gao, W.[Wei], Wan, F.[Fang], Yue, J.[Jun], Xu, S.C.[Song-Cen], Ye, Q.X.[Qi-Xiang],
Discrepant Multiple Instance Learning for Weakly Supervised Object Detection,
PR(122), 2022, pp. 108233.
Elsevier DOI 2112
Weakly supervised detection, Multiple instance learning, Learner discrepancy, Collaborative learning
See also Weakly-supervised Action Localization with Expectation-maximization Multi-instance Learning. BibRef

Wan, F.[Fang], Ye, Q.X.[Qi-Xiang], Yuan, T.N.[Tian-Ning], Xu, S.C.[Song-Cen], Liu, J.Z.[Jian-Zhuang], Ji, X.Y.[Xiang-Yang], Huang, Q.M.[Qing-Ming],
Multiple Instance Differentiation Learning for Active Object Detection,
PAMI(45), No. 10, October 2023, pp. 12133-12147.
IEEE DOI 2310
BibRef

Wan, F.[Fang], Liu, C.[Chang], Ke, W.[Wei], Ji, X.Y.[Xiang-Yang], Jiao, J.B.[Jian-Bin], Ye, Q.X.[Qi-Xiang],
C-MIL: Continuation Multiple Instance Learning for Weakly Supervised Object Detection,
CVPR19(2194-2203).
IEEE DOI 2002

See also Weakly-supervised Action Localization with Expectation-maximization Multi-instance Learning. BibRef

Yan, G.[Gao], Liu, B.X.[Bo-Xiao], Guo, N.[Nan], Ye, X.C.[Xiao-Chun], Wan, F.[Fang], You, H.H.[Hai-Hang], Fan, D.R.[Dong-Rui],
C-MIDN: Coupled Multiple Instance Detection Network With Segmentation Guidance for Weakly Supervised Object Detection,
ICCV19(9833-9842)
IEEE DOI 2004
convolutional neural nets, image annotation, image segmentation, object detection, supervised learning, C-MIDN, Feature extraction BibRef

Liao, M.X.[Ming-Xiang], Wan, F.[Fang], Yao, Y.[Yuan], Han, Z.J.[Zhen-Jun], Zou, J.L.[Jia-Ling], Wang, Y.Z.[Yu-Ze], Feng, B.[Bailan], Yuan, P.[Peng], Ye, Q.X.[Qi-Xiang],
End-to-End Weakly Supervised Object Detection with Sparse Proposal Evolution,
ECCV22(IX:210-226).
Springer DOI 2211
BibRef

Wan, F.[Fang], Wei, P.X.[Peng-Xu], Han, Z.J.[Zhen-Jun], Fu, K.[Kun], Ye, Q.X.[Qi-Xiang],
Weakly supervised object detection with correlation and part suppression,
ICIP16(3638-3642)
IEEE DOI 1610
Correlation. Find and uses strong negative samples. BibRef

Zhu, Y.[Yi], Zhou, Y.Z.[Yan-Zhao], Xu, H.J.[Hui-Juan], Ye, Q.X.[Qi-Xiang], Doermann, D.[David], Jiao, J.B.[Jian-Bin],
Learning Instance Activation Maps for Weakly Supervised Instance Segmentation,
CVPR19(3111-3120).
IEEE DOI 2002
BibRef

Yuan, T.N.[Tian-Ning], Wan, F.[Fang], Fu, M.Y.[Meng-Ying], Liu, J.Z.[Jian-Zhuang], Xu, S.[Songcen], Ji, X.Y.[Xiang-Yang], Ye, Q.X.[Qi-Xiang],
Multiple Instance Active Learning for Object Detection,
CVPR21(5326-5335)
IEEE DOI 2111
Training, Learning systems, Visualization, Uncertainty, Object detection, Detectors, Solids BibRef

Qu, S.J.[Shao-Jun], Tan, H.[Huang], Li, Q.L.[Qiao-Liang], Peng, Z.L.[Zi-Li],
Interactive image segmentation based on the appearance model and orientation energy,
CVIU(217), 2022, pp. 103371.
Elsevier DOI 2203
Graph cut, Appearance model, Orientation energy, Pseudoflow, Interactive image segmentation, Binary segmentation BibRef

Afser, H.[Hüseyin],
A Baseline Statistical Method for Robust User-Assisted Multiple Segmentation,
SPLetters(29), 2022, pp. 737-741.
IEEE DOI 2204
Image segmentation, Signal processing algorithms, Complexity theory, Time complexity, Training, Matlab, Labeling, user-assisted segmentation BibRef

Bragantini, J.[Jordão], Falcão, A.X.[Alexandre X.], Najman, L.[Laurent],
Rethinking interactive image segmentation: Feature space annotation,
PR(131), 2022, pp. 108882.
Elsevier DOI 2208
Interactive image segmentation, Data annotation, Interactive machine learning, Feature space annotation BibRef

Oner, D.[Doruk], Kozinski, M.[Mateusz], Citraro, L.[Lenoardo], Fua, P.[Pascal],
Adjusting the Ground Truth Annotations for Connectivity-Based Learning to Delineate,
MedImg(41), No. 12, December 2022, pp. 3675-3685.
IEEE DOI 2212
Annotations, Training, Topology, Network topology, Optimization, Microscopy, Active contours, deep learning, delineation, neurons, vessels BibRef

Ngoc, M.Ô.V.[Minh Ôn Vu], Carlinet, E.[Edwin], Fabrizio, J.[Jonathan], Géraud, T.[Thierry],
The Dahu graph-cut for interactive segmentation on 2D/3D images,
PR(136), 2023, pp. 109207.
Elsevier DOI 2301
Vectorial Dahu pseudo-distance, Minimum barrier distance, Visual saliency, Object segmentation, Mathematical morphology BibRef

Yang, L.Z.[Liang-Zhe], Zi, W.J.[Wen-Jie], Chen, H.[Hao], Peng, S.[Shuang],
DRE-Net: A Dynamic Radius-Encoding Neural Network with an Incremental Training Strategy for Interactive Segmentation of Remote Sensing Images,
RS(15), No. 3, 2023, pp. xx-yy.
DOI Link 2302
BibRef

Qian, Y.X.[Yu-Xiang], Xue, Y.[Yang], Wang, T.[Tao],
Deep interactive image segmentation based on region and Boundary-click guidance,
JVCIR(92), 2023, pp. 103797.
Elsevier DOI 2303
Interactive segmentation, Deep learning, Interaction strategy, Information diffusion BibRef

Lee, K.[Kyungjun], Shrivastava, A.[Abhinav], Kacorri, H.[Hernisa],
Leveraging Hand-Object Interactions in Assistive Egocentric Vision,
PAMI(45), No. 6, June 2023, pp. 6820-6831.
IEEE DOI 2305
BibRef
Earlier:
Hand-Priming in Object Localization for Assistive Egocentric Vision,
WACV20(3411-3421)
IEEE DOI 2006
Location awareness, Object recognition, Visualization, Annotations, Context modeling, Computational modeling, Blindness, hand-object interaction. Task analysis, Cameras, Image segmentation BibRef

Li, H.F.[Hui-Fang], Li, Y.D.[Yi-Dong], Cao, Y.Z.H.[Yuan-Zhou-Han], Han, Y.S.[Yu-Shan], Jin, Y.[Yi], Wei, Y.C.[Yun-Chao],
Weakly Supervised Object Detection With Class Prototypical Network,
MultMed(25), 2023, pp. 1868-1878.
IEEE DOI 2306
Proposals, Prototypes, Object detection, Head, Location awareness, Feature extraction, Semantics, Cross-attention, weakly supervised object detection BibRef

Wei, Y.C.[Yun-Chao], Shen, Z.Q.[Zhi-Qiang], Cheng, B.[Bowen], Shi, H.H.[Hong-Hui], Xiong, J.J.[Jin-Jun], Feng, J.S.[Jia-Shi], Huang, T.S.[Thomas S.],
TS2C: Tight Box Mining with Surrounding Segmentation Context for Weakly Supervised Object Detection,
ECCV18(XI: 454-470).
Springer DOI 1810
BibRef

Liu, C.[Chang], Ding, H.H.[Heng-Hui], Zhang, Y.[Yulun], Jiang, X.D.[Xu-Dong],
Multi-Modal Mutual Attention and Iterative Interaction for Referring Image Segmentation,
IP(32), 2023, pp. 3054-3065.
IEEE DOI 2306
Generate a mask for the object specified by a natural language expression. Transformers, Decoding, Image segmentation, Task analysis, Feature extraction, Image reconstruction, Iterative methods, language feature reconstruction BibRef

Piao, Y.R.[Yong-Ri], Wu, W.[Wei], Zhang, M.[Miao], Jiang, Y.Y.[Yong-Yao], Lu, H.C.[Hu-Chuan],
Noise-Sensitive Adversarial Learning for Weakly Supervised Salient Object Detection,
MultMed(25), 2023, pp. 2888-2897.
IEEE DOI 2307
Training, Noise robustness, Object detection, Annotations, Cams, Generative adversarial networks, Generators, weakly supervised learning BibRef

Piao, Y.R.[Yong-Ri], Wang, J.[Jian], Zhang, M.[Miao], Lu, H.C.[Hu-Chuan],
MFNet: Multi-filter Directive Network for Weakly Supervised Salient Object Detection,
ICCV21(4116-4125)
IEEE DOI 2203
Codes, Annotations, Object detection, Propagation losses, Decoding, Noise measurement, Low-level and physics-based vision, grouping and shape BibRef

Wang, Y.[Yude], Zhang, J.[Jie], Kan, M.[Meina], Shan, S.G.[Shi-Guang], Chen, X.L.[Xi-Lin],
BLPSeg: Balance the Label Preference in Scribble-Supervised Semantic Segmentation,
IP(32), 2023, pp. 4921-4934.
IEEE DOI 2310
BibRef

Li, J.[Jing], Fan, J.S.[Jun-Song], Wang, Y.X.[Yu-Xi], Yang, Y.[Yuran], Zhang, Z.X.[Zhao-Xiang],
Coarse Mask Guided Interactive Object Segmentation,
IP(32), 2023, pp. 5808-5822.
IEEE DOI 2311
BibRef

Lin, J.C.[Jia-Cheng], Xiao, Z.Q.[Zhi-Qiang], Wei, X.H.[Xiao-Hui], Duan, P.H.[Pu-Hong], He, X.[Xuan], Dian, R.W.[Ren-Wei], Li, Z.Y.[Zhi-Yong], Li, S.T.[Shu-Tao],
Click-Pixel Cognition Fusion Network With Balanced Cut for Interactive Image Segmentation,
IP(33), 2024, pp. 177-190.
IEEE DOI Code:
WWW Link. 2312
BibRef

Marchesoni-Acland, F.[Franco], Magne, T.[Tanguy], Rekbi, F.[Fayçal ], Facciolo, G.[Gabriele],
On the Domain Generalization Capabilities of Interactive Segmentation Methods,
IPOL(14), 2024, pp. 25-40.
DOI Link 2402
BibRef

Marchesoni-Acland, F.[Franco],
Comparing Interactive Image Segmentation Models under Different Clicking Procedures,
IPOL(14), 2024, pp. 14-24.
DOI Link 2402
BibRef

Li, Z.C.[Zhi-Cheng], Wang, T.[Tao], Mei, C.[Chun], Pei, Z.Y.[Zhen-Yu],
Multi-Branch U-Net for Interactive Segmentation,
SPLetters(31), 2024, pp. 974-978.
IEEE DOI 2404
Image segmentation, Decoding, Training, Task analysis, Semantics, Feature extraction, Convolution, Image annotation, label diffusion BibRef

Li, Z.[Zihan], Zheng, Y.[Yuan], Shan, D.D.[Dan-Dan], Yang, S.Z.[Shu-Zhou], Li, Q.[Qingde], Wang, B.Z.[Bei-Zhan], Zhang, Y.T.[Yuan-Ting], Hong, Q.Q.[Qing-Qi], Shen, D.G.[Ding-Gang],
ScribFormer: Transformer Makes CNN Work Better for Scribble-Based Medical Image Segmentation,
MedImg(43), No. 6, June 2024, pp. 2254-2265.
IEEE DOI Code:
WWW Link. 2406
Image segmentation, Transformers, Convolutional neural networks, Annotations, Training, Decoding, Medical diagnostic imaging, scribble-supervised learning BibRef

Shi, Q.X.[Qing-Xuan], Li, Y.H.[Yi-Hang], Di, H.J.[Hui-Jun], Wu, E.[Enyi],
Self-Supervised Interactive Image Segmentation,
CirSysVideo(34), No. 8, August 2024, pp. 6797-6808.
IEEE DOI Code:
WWW Link. 2408
Image segmentation, Feature extraction, Task analysis, Medical diagnostic imaging, Training, Adaptation models, generalization BibRef

Marinov, Z.[Zdravko], Jäger, P.F.[Paul F.], Egger, J.[Jan], Kleesiek, J.[Jens], Stiefelhagen, R.[Rainer],
Deep Interactive Segmentation of Medical Images: A Systematic Review and Taxonomy,
PAMI(46), No. 12, December 2024, pp. 10998-11018.
IEEE DOI 2411
Image segmentation, Training, Taxonomy, Predictive models, Robots, Annotations, Deep learning, Deep learning, systematic review BibRef

Pan, Z.Y.[Zhi-Yi], Sun, H.C.[Hao-Chen], Jiang, P.[Peng], Li, G.[Ge], Tu, C.H.[Chang-He], Ling, H.B.[Hai-Bin],
CC4S: Encouraging Certainty and Consistency in Scribble-Supervised Semantic Segmentation,
PAMI(46), No. 12, December 2024, pp. 8918-8935.
IEEE DOI 2411
Annotations, Semantic segmentation, Image edge detection, Task analysis, Semantics, Uncertainty, Entropy, Scribble annotation, weak supervision BibRef

Zhang, X.[Xu], Yang, K.L.[Kai-Lun], Lin, J.C.[Jia-Cheng], Yuan, J.[Jin], Li, Z.Y.[Zhi-Yong], Li, S.T.[Shu-Tao],
PVPUFormer: Probabilistic Visual Prompt Unified Transformer for Interactive Image Segmentation,
IP(33), 2024, pp. 6455-6468.
IEEE DOI Code:
WWW Link. 2411
Image segmentation, Visualization, Probabilistic logic, Image coding, Vectors, Transformers, Feature extraction, Encoding, contrastive loss BibRef

Rao, A.[Adrit], Fisher, A.[Andrea], Chang, K.[Ken], Panagides, J.C.[John Christopher], McNamara, K.[Katherine], Lee, J.Y.[Joon-Young], Aalami, O.[Oliver],
IMIL: Interactive Medical Image Learning Framework,
DEF-AI-MIA24(5241-5250)
IEEE DOI 2410
Training, Image analysis, Accuracy, Computational modeling, Radiology, Data augmentation, Interactive learning, Data augmentation BibRef

Liu, Y.[Yong], Zhang, C.R.[Cai-Rong], Wang, Y.T.[Yi-Tong], Wang, J.H.[Jia-Hao], Yang, Y.[Yujiu], Tang, Y.S.[Yan-Song],
Universal Segmentation at Arbitrary Granularity with Language Instruction,
CVPR24(3459-3469)
IEEE DOI 2410
Training, Image segmentation, Adaptation models, Annotations, Computational modeling, Semantics, Data models, universal segmentation BibRef

Zhao, Y.F.[Yi-Fan], Li, K.[Kehan], Cheng, Z.[Zesen], Qiao, P.C.[Peng-Chong], Zheng, X.[Xiawu], Ji, R.R.[Rong-Rong], Liu, C.[Chang], Yuan, L.[Li], Chen, J.[Jie],
GraCo: Granularity-Controllable Interactive Segmentation,
CVPR24(3501-3510)
IEEE DOI Code:
WWW Link. 2410
Image segmentation, Adaptation models, Annotations, Interactive systems, Pipelines, Semantics, Redundancy, Granularity-Controllable BibRef

Liu, Q.[Qin], Cho, J.[Jaemin], Bansal, M.[Mohit], Niethammer, M.[Marc],
Rethinking Interactive Image Segmentation with Low Latency, High Quality, and Diverse Prompts,
CVPR24(3773-3782)
IEEE DOI 2410
Image segmentation, Visualization, Image coding, Benchmark testing, Low latency communication BibRef

Lee, C.[Chaewon], Lee, S.H.[Seon-Ho], Kim, C.S.[Chang-Su],
MFP: Making Full Use of Probability Maps for Interactive Image Segmentation,
CVPR24(4051-4059)
IEEE DOI 2410
Image segmentation, Source coding, Prediction algorithms, Feeds BibRef

Myers-Dean, J.[Josh], Fan, Y.F.[Yi-Fei], Price, B.[Brian], Chan, W.[Wilson], Gurari, D.[Danna],
Interactive Segmentation for Diverse Gesture Types Without Context,
WACV24(7173-7183)
IEEE DOI Code:
WWW Link. 2404
Measurement, Image segmentation, Task analysis, Applications, Arts / games / social media, Algorithms, Image recognition and understanding BibRef

Mathur, P.[Praful], Parwani, S.K.[Shashi Kumar], Sen, M.[Mrinmoy], Sheshadri, R.[Roopa], Sharma, A.[Aman],
Object Aware Contrastive Prior for Interactive Image Segmentation,
WACV24(564-573)
IEEE DOI 2404
Training, Performance evaluation, Image segmentation, Buildings, Training data, Self-supervised learning, Algorithms BibRef

Atanyan, B.[Barsegh], Khachatryan, L.[Levon], Navasardyan, S.[Shant], Wei, Y.C.[Yun-Chao], Shi, H.[Humphrey],
Continuous Adaptation for Interactive Segmentation Using Teacher-Student Architecture,
WACV24(778-788)
IEEE DOI 2404
Training, Image segmentation, Adaptation models, Annotations, Computer architecture, Benchmark testing, Algorithms BibRef

Jin, J.Q.[Jia-Qi], Tong, X.F.[Xu-Feng],
An improved algorithm for interactive medical image segmentation based on Intelligent scissors,
CVIDL23(175-179)
IEEE DOI 2403
Image segmentation, Pathology, Machine learning algorithms, Image edge detection, Intelligent scissors algorithm BibRef

Mikhailov, I.[Ivan], Chauveau, B.[Benoit], Bourdel, N.[Nicolas], Bartoli, A.[Adrien],
Sharing is Caring: Concurrent Interactive Segmentation and Model Training using a Joint Model,
CVAMD23(2424-2433)
IEEE DOI 2401
BibRef

Rana, A.K.[Amit Kumar], Mahadevan, S.[Sabarinath], Hermans, A.[Alexander], Leibe, B.[Bastian],
DynaMITe: Dynamic Query Bootstrapping for Multi-object Interactive Segmentation Transformer,
ICCV23(1043-1052)
IEEE DOI 2401
BibRef

Li, K.[Kehan], Zhao, Y.F.[Yi-Fan], Wang, Z.[Zhennan], Cheng, Z.[Zesen], Jin, P.[Peng], Ji, X.Y.[Xiang-Yang], Yuan, L.[Li], Liu, C.[Chang], Chen, J.[Jie],
Multi-granularity Interaction Simulation for Unsupervised Interactive Segmentation,
ICCV23(666-676)
IEEE DOI 2401
BibRef

Liu, Q.[Qin], Xu, Z.[Zhenlin], Bertasius, G.[Gedas], Niethammer, M.[Marc],
SimpleClick: Interactive Image Segmentation with Simple Vision Transformers,
ICCV23(22233-22243)
IEEE DOI 2401
BibRef

Huang, Y.[You], Yang, H.[Hao], Sun, K.[Ke], Zhang, S.C.[Sheng-Chuan], Cao, L.J.[Liu-Juan], Jiang, G.[Guannan], Ji, R.R.[Rong-Rong],
InterFormer Real-time Interactive Image Segmentation,
ICCV23(22244-22254)
IEEE DOI Code:
WWW Link. 2401
BibRef

Li, K.[Kun], Vosselman, G.[George], Yang, M.Y.[Michael Ying],
Interactive Image Segmentation with Cross-Modality Vision Transformers,
NIVT23(762-772)
IEEE DOI Code:
WWW Link. 2401
BibRef

Wei, Q.Q.[Qiao-Qiao], Zhang, H.[Hui], Yongo, J.H.[Jun-Hai],
Focused and Collaborative Feedback Integration for Interactive Image Segmentation,
CVPR23(18643-18652)
IEEE DOI 2309
BibRef

Zhou, M.H.[Ming-Hao], Wang, H.[Hong], Zhao, Q.[Qian], Li, Y.X.[Yue-Xiang], Huang, Y.W.[Ya-Wen], Meng, D.Y.[De-Yu], Zheng, Y.F.[Ye-Feng],
Interactive Segmentation as Gaussian Process Classification,
CVPR23(19488-19497)
IEEE DOI 2309
BibRef

Du, F.[Fei], Yuan, J.L.[Jian-Long], Wang, Z.B.[Zhi-Bin], Wang, F.[Fan],
Efficient Mask Correction for Click-Based Interactive Image Segmentation,
CVPR23(22773-22782)
IEEE DOI 2309
BibRef

Qiao, N.[Nan], Sun, Y.[Yuyin], Liu, C.[Chong], Xia, L.[Lu], Luo, J.J.[Jia-Jia], Zhang, K.[Ke], Kuo, C.H.[Cheng-Hao],
Human-in-the-Loop Video Semantic Segmentation Auto-Annotation,
WACV23(5870-5880)
IEEE DOI 2302
Costs, Annotations, Semantic segmentation, Semantics, Manuals, Multitasking BibRef

Silva, I.F.[Ilan F.], Sousa, A.M.[Azael M.], Falcão, A.X.[Alexandre X.], Bragantini, J.[Jordão],
Differential Dynamic Trees for Interactive Image Segmentation,
ICPR22(4328-4334)
IEEE DOI 2212
Image segmentation, Heuristic algorithms, Neural networks, User experience, Robustness BibRef

Zhao, B.H.[Bing-Hao], Ma, T.X.[Tian-Xiang], Peng, B.[Bo], Dong, J.[Jing],
DesignerGAN: Sketch Your Own Photo,
ICPR22(3216-3223)
IEEE DOI 2212
Shape, Image synthesis, Semantics, Clothing, Transforms, Complexity theory BibRef

Liu, Q.[Qin], Zheng, M.[Meng], Planche, B.[Benjamin], Karanam, S.[Srikrishna], Chen, T.[Terrence], Niethammer, M.[Marc], Wu, Z.Y.[Zi-Yan],
PseudoClick: Interactive Image Segmentation with Click Imitation,
ECCV22(VI:728-745).
Springer DOI 2211
BibRef

Yu, H.[Houjian], Choi, C.H.[Chang-Hyun],
Self-supervised Interactive Object Segmentation Through a Singulation-and-Grasping Approach,
ECCV22(XXIX:621-637).
Springer DOI 2211
BibRef

Faizov, B.[Boris], Shakhuro, V.[Vlad], Konushin, A.[Anton],
Interactive Image Segmentation with Transformers,
ICIP22(1171-1175)
IEEE DOI 2211
Convolutional codes, Image segmentation, Computational modeling, Neural networks, Benchmark testing, Transformers, Neural Networks BibRef

Sofiiuk, K.[Konstantin], Petrov, I.A.[Ilya A.], Konushin, A.[Anton],
Reviving Iterative Training with Mask Guidance for Interactive Segmentation,
ICIP22(3141-3145)
IEEE DOI 2211
Training, Image segmentation, Analytical models, Codes, Annotations, Benchmark testing, interactive segmentation, segmentation, mask refinement BibRef

Kotar, K.[Klemen], Mottaghi, R.[Roozbeh],
Interactron: Embodied Adaptive Object Detection,
CVPR22(14840-14849)
IEEE DOI 2210
Training, Deep learning, Adaptation models, Navigation, Computational modeling, Robot vision systems, Neural networks, retrieval BibRef

Chen, X.[Xi], Zhao, Z.Y.[Zhi-Yan], Zhang, Y.L.[Yi-Lei], Duan, M.[Manni], Qi, D.L.[Dong-Lian], Zhao, H.S.[Heng-Shuang],
FocalClick: Towards Practical Interactive Image Segmentation,
CVPR22(1290-1299)
IEEE DOI 2210
Performance evaluation, Image segmentation, Codes, Shape, Machine vision, Pipelines, Segmentation, Vision applications and systems BibRef

Lee, C.G.[Chung-Gi], Park, S.[Seonwook], Song, H.[Heon], Ryu, J.[Jeongun], Kim, S.H.[Sang-Hoon], Kim, H.[Haejoon], Pereira, S.[Sérgio], Yoo, D.[Donggeun],
Interactive Multi-Class Tiny-Object Detection,
CVPR22(14116-14125)
IEEE DOI 2210
Costs, Annotations, Machine vision, Training data, Object detection, Computer architecture, Recognition: detection, categorization, Vision applications and systems BibRef

Lüddecke, T.[Timo], Ecker, A.[Alexander],
Image Segmentation Using Text and Image Prompts,
CVPR22(7076-7086)
IEEE DOI 2210
Training, Image segmentation, Visualization, Affordances, Machine vision, Predictive models, Transformers, Vision applications and systems BibRef

Lin, Z.[Zheng], Duan, Z.P.[Zheng-Peng], Zhang, Z.[Zhao], Guo, C.L.[Chun-Le], Cheng, M.M.[Ming-Ming],
FocusCut: Diving into a Focus View in Interactive Segmentation,
CVPR22(2627-2636)
IEEE DOI 2210
Image segmentation, Visualization, Annotations, Image edge detection, Pipelines, Crops, Segmentation, Vision + graphics BibRef

Xu, C.Y.[Cheng-Yuan], Dong, B.[Boning], Stier, N.[Noah], McCully, C.[Curtis], Howell, D.A.[D. Andrew], Sen, P.[Pradeep], Höllerer, T.[Tobias],
Interactive Segmentation and Visualization for Tiny Objects in Multi-megapixel Images,
CVPR22(21415-21420)
IEEE DOI 2210
Image segmentation, Materials science and technology, Computational modeling, Data visualization, Machine learning, Pattern recognition BibRef

Liang, Z.Y.[Zhi-Yuan], Wang, T.[Tiancai], Zhang, X.Y.[Xiang-Yu], Sun, J.[Jian], Shen, J.B.[Jian-Bing],
Tree Energy Loss: Towards Sparsely Annotated Semantic Segmentation,
CVPR22(16886-16895)
IEEE DOI 2210
Training, Energy loss, Image segmentation, Shape, Computational modeling, Semantics, grouping and shape analysis, Recognition: detection BibRef

Ding, H.H.[Heng-Hui], Zhang, H.[Hui], Liu, J.[Jun], Li, J.X.[Jia-Xin], Feng, Z.J.[Zi-Jian], Jiang, X.D.[Xu-Dong],
Interaction via Bi-directional Graph of Semantic Region Affinity for Scene Parsing,
ICCV21(15828-15838)
IEEE DOI 2203
Image segmentation, Correlation, Image edge detection, Semantics, Directed graphs, Bidirectional control, grouping and shape BibRef

Chen, X.[Xi], Zhao, Z.Y.[Zhi-Yan], Yu, F.[Feiwu], Zhang, Y.L.[Yi-Lei], Duan, M.[Manni],
Conditional Diffusion for Interactive Segmentation,
ICCV21(7325-7334)
IEEE DOI 2203
Training, Benchmark testing, Feature extraction, Frequency division multiplexing, Optimization, Segmentation, Vision applications and systems BibRef

Dröge, H.[Hannah], Moeller, M.[Michael],
Learning or Modelling? An Analysis of Single Image Segmentation Based on Scribble Information,
ICIP21(2274-2278)
IEEE DOI 2201
Training, Deep learning, Image segmentation, Analytical models, Histograms, Semantics, Transfer learning, Image Segmentation, Machine Learning BibRef

Lin, C.T.[Chun-Tse], Tu, W.C.[Wei-Chih], Liu, C.T.[Chih-Ting], Chien, S.Y.[Shao-Yi],
Interactive Object Segmentation With Dynamic Click Transform,
ICIP21(2284-2288)
IEEE DOI 2201
Image segmentation, Tensors, Heuristic algorithms, Transforms, Object segmentation, Benchmark testing, Feature extraction BibRef

Hao, Y.Y.[Yu-Ying], Liu, Y.[Yi], Wu, Z.[Zewu], Han, L.[Lin], Chen, Y.Z.[Yi-Zhou], Chen, G.W.[Guo-Wei], Chu, L.[Lutao], Tang, S.Y.[Shi-Yu], Yu, Z.L.[Zhi-Liang], Chen, Z.[Zeyu], Lai, B.H.[Bao-Hua],
EdgeFlow: Achieving Practical Interactive Segmentation with Edge-Guided Flow,
ILDAV21(1551-1560)
IEEE DOI 2112
Image segmentation, Costs, Annotations, Image edge detection, Training data, Computer architecture, Tools BibRef

Huo, X.Y.[Xin-Yue], Xie, L.X.[Ling-Xi], He, J.Z.[Jian-Zhong], Yang, Z.J.[Zi-Jie], Zhou, W.G.[Wen-Gang], Li, H.Q.[Hou-Qiang], Tian, Q.[Qi],
ATSO: Asynchronous Teacher-Student Optimization for Semi-Supervised Image Segmentation,
CVPR21(1235-1244)
IEEE DOI 2111
Image segmentation, Schedules, Pipelines, Training data, Resists, Semisupervised learning, Tools BibRef

Majumder, S.[Soumajit], Khurana, A.[Ansh], Rai, A.[Abhinav], Yao, A.[Angela],
Multi-stage Fusion for One-Click Segmentation,
GCPR20(174-187).
Springer DOI 2110
BibRef

Ding, H.H.[Heng-Hui], Cohen, S.[Scott], Price, B.[Brian], Jiang, X.D.[Xu-Dong],
Phraseclick: Toward Achieving Flexible Interactive Segmentation by Phrase and Click,
ECCV20(III:417-435).
Springer DOI 2012
BibRef

Kulharia, V.[Viveka], Chandra, S.[Siddhartha], Agrawal, A.[Amit], Torr, P.H.S.[Philip H.S.], Tyagi, A.[Ambrish],
Box2seg: Attention Weighted Loss and Discriminative Feature Learning for Weakly Supervised Segmentation,
ECCV20(XXVII:290-308).
Springer DOI 2011
BibRef

Kontogianni, T.[Theodora], Gygli, M.[Michael], Uijlings, J.[Jasper], Ferrari, V.[Vittorio],
Continuous Adaptation for Interactive Object Segmentation by Learning from Corrections,
ECCV20(XVI: 579-596).
Springer DOI 2010
BibRef

Sofiiuk, K., Petrov, I., Barinova, O., Konushin, A.,
F-BRS: Rethinking Backpropagating Refinement for Interactive Segmentation,
CVPR20(8620-8629)
IEEE DOI 2008
Optimization, Image segmentation, Semantics, Neural networks, Task analysis, Training, Perturbation methods BibRef

Lin, Z., Zhang, Z., Chen, L., Cheng, M., Lu, S.,
Interactive Image Segmentation With First Click Attention,
CVPR20(13336-13345)
IEEE DOI 2008
Image segmentation, Neural networks, Task analysis, Machine learning, Training, Decoding, Visualization BibRef

Dahl, V.A., Emerson, M.J., Trinderup, C.H., Dahl, A.B.,
Content-based Propagation of User Markings for Interactive Segmentation of Patterned Images,
Microscopy20(4280-4288)
IEEE DOI 2008
Image segmentation, Dictionaries, Neural networks, Labeling, Feature extraction, Microscopy, Training BibRef

Golub, D., El-Kishky, A., Martín-Martín, R.,
Leveraging Pretrained Image Classifiers for Language-Based Segmentation,
WACV20(1999-2008)
IEEE DOI 2006
Image segmentation, Semantics, Training, Visualization, Task analysis, Noise measurement, Automobiles BibRef

Jiang, C.Y.[Chi-Yu], Lansigan, D.[Dana], Marcus, P.[Philip], Niessner, M.[Matthias],
DDSL: Deep Differentiable Simplex Layer for Learning Geometric Signals,
ICCV19(8768-8777)
IEEE DOI 2004
Polygonal image segmentation given ground-truth bounding boxes. backpropagation, computational geometry, Fourier transforms, gradient methods, image segmentation, iterative methods, Distortion BibRef

Xue, H., Liu, C., Wan, F., Jiao, J., Ji, X., Ye, Q.,
DANet: Divergent Activation for Weakly Supervised Object Localization,
ICCV19(6588-6597)
IEEE DOI 2004
image classification, learning (artificial intelligence), weakly supervised object localization, Data models BibRef

Liew, J.H., Cohen, S., Price, B., Mai, L., Ong, S., Feng, J.,
MultiSeg: Semantically Meaningful, Scale-Diverse Segmentations From Minimal User Input,
ICCV19(662-670)
IEEE DOI 2004
image segmentation, learning (artificial intelligence), user interfaces, minimal user, Network architecture BibRef

Ashual, O., Wolf, L.,
Specifying Object Attributes and Relations in Interactive Scene Generation,
ICCV19(4560-4568)
IEEE DOI 2004
Award, Marr Prize, HM. Code, Interactive Segmentation.
WWW Link. graph theory, interactive systems, object recognition, rendering (computer graphics), higher visual quality, Tools BibRef

Xiao, T., Fan, Q., Gutfreund, D., Monfort, M., Oliva, A., Zhou, B.,
Reasoning About Human-Object Interactions Through Dual Attention Networks,
ICCV19(3918-3927)
IEEE DOI 2004
convolutional neural nets, feature extraction, image classification, image enhancement, image representation, BibRef

Ling, H.[Huan], Gao, J.[Jun], Kar, A.[Amlan], Chen, W.Z.[Wen-Zheng], Fidler, S.[Sanja],
Fast Interactive Object Annotation With Curve-GCN,
CVPR19(5252-5261).
IEEE DOI 2002
BibRef

Jang, W.D.[Won-Dong], Kim, C.S.[Chang-Su],
Interactive Image Segmentation via Backpropagating Refinement Scheme,
CVPR19(5292-5301).
IEEE DOI 2002
BibRef

Majumder, S.[Soumajit], Yao, A.[Angela],
Content-Aware Multi-Level Guidance for Interactive Instance Segmentation,
CVPR19(11594-11603).
IEEE DOI 2002
BibRef

Agustsson, E.[Eirikur], Uijlings, J.R.R.[Jasper R. R.], Ferrari, V.[Vittorio],
Interactive Full Image Segmentation by Considering All Regions Jointly,
CVPR19(11614-11623).
IEEE DOI 2002
BibRef

Benenson, R.[Rodrigo], Popov, S.[Stefan], Ferrari, V.[Vittorio],
Large-Scale Interactive Object Segmentation With Human Annotators,
CVPR19(11692-11701).
IEEE DOI 2002
BibRef

Liu, Z., Li, C., Liu, Y., Lian, Z., Wu, Y.,
Classification Assisted Segmentation Network for Human Parsing,
ICIP19(1530-1534)
IEEE DOI 1910
Human parsing, multi-task, deep convolutional nerual network BibRef

Dias, P.A.[Philipe Ambrozio], Shen, Z.[Zhou], Tabb, A.[Amy], Medeiros, H.[Henry],
FreeLabel: A Publicly Available Annotation Tool Based on Freehand Traces,
WACV19(21-30)
IEEE DOI 1904
image segmentation, Internet, learning (artificial intelligence), public domain software, Image color analysis BibRef

Batchelor, O., Green, R.,
Model assisted bootstrapping for annotation of segmentation datasets,
IVCNZ17(1-6)
IEEE DOI 1902
image segmentation, learning (artificial intelligence), segmentation dataset, deep learning, partially trained model, Mathematical model BibRef

Wang, K., Yan, X., Zhang, D., Zhang, L., Lin, L.,
Towards Human-Machine Cooperation: Self-Supervised Sample Mining for Object Detection,
CVPR18(1605-1613)
IEEE DOI 1812
Proposals, Object detection, Training, Detectors, Reliability, Task analysis, Visualization BibRef

Li, Z., Chen, Q., Koltun, V.,
Interactive Image Segmentation with Latent Diversity,
CVPR18(577-585)
IEEE DOI 1812
Image segmentation, Transforms, Training, Computer architecture, Task analysis, Loss measurement BibRef

Lee, K.M., Myeong, H., Song, G.,
SeedNet: Automatic Seed Generation with Deep Reinforcement Learning for Robust Interactive Segmentation,
CVPR18(1760-1768)
IEEE DOI 1812
Image segmentation, Task analysis, Computer architecture, Games, Supervised learning BibRef

Pathak, D., Shentu, Y., Chen, D., Agrawal, P., Darrell, T.J., Levine, S., Malik, J.,
Learning Instance Segmentation by Interaction,
DeepLearnRV18(2123-21233)
IEEE DOI 1812
Image segmentation, Robots, Training, Noise measurement, Testing, Visualization, Cameras BibRef

Lézoray, O.[Olivier],
Graph signal active contours,
ICPR21(438-445)
IEEE DOI 2105
Adaptation models, Image segmentation, Image color analysis, Level set, Image edge detection, Signal processing, Feature extraction BibRef

Ben Chattah, T.[Thoraya], Bougleux, S.[Sébastien], Lézoray, O.[Olivier], Hamouda, A.[Atef],
Patch-Based Potentials for Interactive Contour Extraction,
ISVC18(587-597).
Springer DOI 1811
BibRef

Hou, Q.B.[Qi-Bin], Zhang, L.[Li], Cheng, M.M.[Ming-Ming], Feng, J.S.[Jia-Shi],
Strip Pooling: Rethinking Spatial Pooling for Scene Parsing,
CVPR20(4002-4011)
IEEE DOI 2008
Code, Segmentation.
WWW Link. Strips, Kernel, Shape, Tensile stress, Semantics, Benchmark testing, Convolutional codes BibRef

Yang, F., Cohen, L.D., Bruckstein, A.M.,
A model for automatically tracing object boundaries,
ICIP17(2692-2696)
IEEE DOI 1803
Computational modeling, Differential equations, Image edge detection, Mathematical model, Shape, Trajectory, Point Flow BibRef

Yu, H., Zhou, Y., Qian, H., Xian, M., Wang, S.,
Loosecut: Interactive image segmentation with loosely bounded boxes,
ICIP17(3335-3339)
IEEE DOI 1803
Clustering algorithms, Convergence, Error analysis, Image segmentation, Labeling, Optimization, Loosely bounded box BibRef

Papadopoulos, D.P.[Dim P.], Uijlings, J.R.R.[Jasper R.R.], Keller, F.[Frank], Ferrari, V.[Vittorio],
Extreme Clicking for Efficient Object Annotation,
ICCV17(4940-4949)
IEEE DOI 1802
Manual annotation of bounding boxes. Select the 4 extremes rather than corners. image segmentation, BibRef

Liew, J., Wei, Y., Xiong, W., Ong, S.H., Feng, J.,
Regional Interactive Image Segmentation Networks,
ICCV17(2746-2754)
IEEE DOI 1802
human computer interaction, image representation, image segmentation, interactive systems, RIS-Net, Training BibRef

Zhang, D., Yang, L., Meng, D., Xu, D., Han, J.,
SPFTN: A Self-Paced Fine-Tuning Network for Segmenting Objects in Weakly Labelled Videos,
CVPR17(5340-5348)
IEEE DOI 1711
Image segmentation, Neural networks, Object segmentation, Training, Videos BibRef

Xiao, F., Sigal, L., Lee, Y.J.,
Weakly-Supervised Visual Grounding of Phrases with Linguistic Structures,
CVPR17(5253-5262)
IEEE DOI 1711
Grounding, Image segmentation, Natural languages, Pragmatics, Semantics, Visualization BibRef

Real, E., Shlens, J., Mazzocchi, S., Pan, X., Vanhoucke, V.,
YouTube-BoundingBoxes: A Large High-Precision Human-Annotated Data Set for Object Detection in Video,
CVPR17(7464-7473)
IEEE DOI 1711
Cameras, Google, Image segmentation, Object detection, Visualization, YouTube BibRef

Tavares, A.C.M.[Anderson Carlos Moreira], Miranda, P.A.V.[Paulo André Vechiatto], Spina, T.V.[Thiago Vallin], Falcão, A.X.[Alexandre Xavier],
A Supervoxel-Based Solution to Resume Segmentation for Interactive Correction by Differential Image-Foresting Transforms,
ISMM17(107-118).
Springer DOI 1706
BibRef

Tavares, A.C.M.[Anderson Carlos Moreira], Bejar, H.H.C.[Hans Harley Ccacyahuillca], Miranda, P.A.V.[Paulo André Vechiatto],
Seed Robustness of Oriented Image Foresting Transform: Core Computation and the Robustness Coefficient,
ISMM17(119-130).
Springer DOI 1706
BibRef

Xian, M.[Min], Xu, F.[Fei], Cheng, H.D., Zhang, Y.T.[Ying-Tao], Ding, J.R.[Jian-Rui],
EISeg: Effective interactive segmentation,
ICPR16(1982-1987)
IEEE DOI 1705
Image color analysis, Image segmentation, Nonhomogeneous media, Protocols, Vegetation, Visualization, Interactive segmentation, Neutro-Connectedness, effectiveness, of, interaction BibRef