Flickner, M.D.,
Sawhney, H.S.,
Niblack, C.W.,
Ashley, J.,
Huang, Q.,
Dom, B.,
Gorkani, M.,
Hafner, J.L.,
Lee, D.,
Petkovic, D.,
Steele, D.,
Yanker, P.C.,
Query by Image and Video Content: The QBIC System,
Computer(28), No. 9, September 1995, pp. 23-32.
IEEE DOI
Color Indexing. Find images in a database based on color, shape (of the central object
in the scene), texture (simple texture measures) and sketches.
BibRef
9509
del Bimbo, A.,
Pala, P.,
Visual Image Retrieval by Elastic Matching of User Sketches,
PAMI(19), No. 2, February 1997, pp. 121-132.
IEEE DOI
9703
Deformable Template.
Snakes.
BibRef
And:
Effective Image Retrieval Using Deformable Templates,
ICPR96(III: 120-124).
IEEE DOI
9608
BibRef
Earlier:
Image retrieval by elastic matching of user sketches,
CIAP95(185-190).
Springer DOI
9509
(Univ. di Firenze, I)
The user provides a sketch which is matched with the edges extracted from
the image by deforming the sketch.
BibRef
Shen, D.G.[Ding-Gang],
Wong, W.H.[Wai-Him],
Ip, H.H.S.[Horace H.S.],
Affine-invariant image retrieval by correspondence matching of shapes,
IVC(17), No. 7, May 1999, pp. 489-499.
Elsevier DOI
BibRef
9905
Ip, H.H.S.,
Cheng, A.K.Y.,
Wong, W.Y.F.,
Affine invariant retrieval of shapes based on hand-drawn sketches,
ICPR02(II: 794-797).
IEEE DOI
0211
BibRef
di Sciascio, E.,
Donini, F.M.,
Mongiello, M.,
Spatial layout representation for query-by-sketch content-based image
retrieval,
PRL(23), No. 13, November 2002, pp. 1599-1612.
Elsevier DOI
0206
BibRef
Anelli, M.,
Cinque, L.,
Sangineto, E.[Enver],
Deformation tolerant generalized Hough transform for sketch-based image
retrieval in complex scenes,
IVC(25), No. 11, 1 November 2007, pp. 1802-1813.
Elsevier DOI
0709
Content-based image retrieval; Generalized Hough transform;
Unsegmented images; Query by sketch; Object recognition
BibRef
Gavilan, D.[David],
Saito, S.[Suguru],
Nakajima, M.[Masayuki],
Query-by-Sketch Based Image Synthesis,
IEICE(E91-D), No. 9, September 2008, pp. 2341-2352.
DOI Link
0804
See also Curvature-based stroke rendering.
BibRef
Liang, S.[Shuang],
Sun, Z.X.[Zheng-Xing],
Sketch retrieval and relevance feedback with biased SVM classification,
PRL(29), No. 12, 1 September 2008, pp. 1733-1741.
Elsevier DOI
0804
Sketch retrieval; Content representation; Similarity matching;
Relevance feedback; Biased SVM (BSVM)
BibRef
Sousa, P.[Pedro],
Fonseca, M.J.[Manuel J.],
Geometric matching for clip-art drawing retrieval,
JVCIR(20), No. 2, February 2009, pp. 71-83.
Elsevier DOI
0903
Geometric matching; Drawing retrieval; Sketch-based retrieval;
Topological description; Topology graph; Clip-art drawing; Complex
drawings; Query-by-Sketch; Graph spectrum; Graph Comparison
BibRef
Fonseca, M.J.[Manuel J.],
Barroso, B.,
Ribeiro, P.,
Jorge, J.A.[Joaquim A.],
Retrieving ClipArt Images by Content,
CIVR04(500-507).
Springer DOI
0505
BibRef
Hisamori, T.[Takashi],
Arikawa, T.[Toru],
Ohashi, G.[Gosuke],
Query-by-Sketch Image Retrieval Using Similarity in Stroke Order,
IEICE(E93-D), No. 6, June 2010, pp. 1459-1469.
WWW Link.
1006
BibRef
Takasu, T.[Takuya],
Kumagai, Y.[Yoshiki],
Ohashi, G.[Gosuke],
Object Extraction Using an Edge-Based Feature for Query-by-Sketch Image
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IEICE(E98-D), No. 1, January 2015, pp. 214-217.
WWW Link.
1503
BibRef
Kumagai, Y.[Yoshiki],
Ohashi, G.[Gosuke],
Query-by-Sketch Image Retrieval Using Edge Relation Histogram,
IEICE(E96-D), No. 2, February 2013, pp. 340-348.
WWW Link.
1301
BibRef
Napoléon, T.[Thibault],
Sahbi, H.[Hichem],
From 2D Silhouettes to 3D Object Retrieval:
Contributions and Benchmarking,
JIVP(2010), No. 2010, pp. xx-yy.
DOI Link
1003
BibRef
Earlier:
Content-based 3D object retrieval using 2D views,
ICIP09(1437-1440).
IEEE DOI
0911
BibRef
Sahbi, H.[Hichem],
ImageCLEF annotation with explicit context-aware kernel maps,
MultInfoRetr(4), No. 2, June 2015, pp. 113-128.
Springer DOI
1506
BibRef
Earlier:
Network-Dependent Image Annotation Based on Explicit
Context-Dependent Kernel Maps,
ICPR14(625-630)
IEEE DOI
1412
Context
BibRef
Sahbi, H.[Hichem],
Coarse-to-Fine Deep Kernel Networks,
CEFR-LCV17(1131-1139)
IEEE DOI
1802
Computational complexity, Hardware, Kernel, Machine learning,
Satellites, Standards
BibRef
Vo, P.[Phong],
Sahbi, H.[Hichem],
Transductive Kernel Map Learning and Its Application Image Annotation,
BMVC12(68).
DOI Link
1301
BibRef
Sahbi, H.[Hichem],
Audibert, J.Y.[Jean-Yves],
Network-dependent kernels for image ranking,
ICIP10(2357-2360).
IEEE DOI
1009
BibRef
Sahbi, H.[Hichem],
Etyngier, P.[Patrick],
Audibert, J.Y.[Jean-Yves],
Keriven, R.[Renaud],
Manifold learning using robust Graph Laplacian for interactive image
search,
CVPR08(1-8).
IEEE DOI
0806
BibRef
Sahbi, H.[Hichem],
Audibert, J.Y.[Jean-Yves],
Keriven, R.[Renaud],
Graph-Cut Transducers for Relevance Feedback in Content Based Image
Retrieval,
ICCV07(1-8).
IEEE DOI
0710
BibRef
Lin, L.[Liang],
Liu, X.B.[Xiao-Bai],
Peng, S.W.[Shao-Wu],
Chao, H.Y.[Hong-Yang],
Wang, Y.T.[Yong-Tian],
Jiang, B.[Bo],
Object categorization with sketch representation and generalized
samples,
PR(45), No. 10, October 2012, pp. 3648-3660.
Elsevier DOI
1206
Object categorization; And-Or graph; Generalized samples; Cascaded
inference
BibRef
Ma, C.X.,
Liu, Y.J.,
Wang, H.A.,
Teng, D.X.,
Dai, G.Z.,
Sketch-Based Annotation and Visualization in Video Authoring,
MultMed(14), No. 4, 2012, pp. 1153-1165.
IEEE DOI
1208
BibRef
Li, B.[Bo],
Lu, Y.[Yijuan],
Godil, A.[Afzal],
Schreck, T.[Tobias],
Bustos, B.[Benjamin],
Ferreira, A.[Alfredo],
Furuya, T.[Takahiko],
Fonseca, M.J.[Manuel J.],
Johan, H.[Henry],
Matsuda, T.[Takahiro],
Ohbuchi, R.[Ryutarou],
Pascoal, P.B.[Pedro B.],
Saavedra, J.M.[Jose M.],
A comparison of methods for sketch-based 3D shape retrieval,
CVIU(119), No. 1, 2014, pp. 57-80.
Elsevier DOI
1412
Sketch-based 3D model retrieval
BibRef
Li, B.[Bo],
Lu, Y.J.[Yi-Juan],
Li, C.Y.[Chun-Yuan],
Godil, A.[Afzal],
Schreck, T.[Tobias],
Aono, M.[Masaki],
Burtscher, M.[Martin],
Chen, Q.A.[Qi-Ang],
Chowdhury, N.K.[Nihad Karim],
Fang, B.[Bin],
Fu, H.B.[Hong-Bo],
Furuya, T.[Takahiko],
Li, H.S.[Hai-Sheng],
Liu, J.Z.[Jian-Zhuang],
Johan, H.[Henry],
Kosaka, R.[Ryuichi],
Koyanagi, H.[Hitoshi],
Ohbuchi, R.[Ryutarou],
Tatsuma, A.[Atsushi],
Wan, Y.J.[Ya-Juan],
Zhang, C.L.[Chao-Li],
Zou, C.Q.[Chang-Qing],
A comparison of 3D shape retrieval methods based on a large-scale
benchmark supporting multimodal queries,
CVIU(131), No. 1, 2015, pp. 1-27.
Elsevier DOI
1412
3D shape retrieval
BibRef
Li, B.,
Schreck, T.,
Godil, A.,
Alexa, M.,
Boubekeur, T.,
Bustos, B.,
Chen, J.,
Eitz, M.,
Furuya, T.,
Hildebrand, K.,
Huang, S.,
Johan, H.,
Kuijper, A.,
Ohbuchi, R.,
Richter, R.,
Saavedra, J.M.,
Scherer, M.,
Yanagimachi, T.,
Yoon, G.J.,
Yoon, S.M.,
SHREC'12 Track: Sketch-Based 3d Shape Retrieval,
3DOR12(109-118)
DOI Link
1301
BibRef
Saavedra, J.M.[Jose M.],
Bustos, B.[Benjamin],
Schreck, T.[Tobias],
Yoon, S.M.[Sang Min],
Scherer, M.[Maximiliam],
Sketch-Based 3d Model Retrieval Using Keyshapes For Global and
Local Representation,
3DOR12(47-50)
DOI Link
1301
BibRef
Saavedra, J.M.[Jose M.],
Bustos, B.[Benjamin],
Scherer, M.[Maximilian],
Schreck, T.[Tobias],
STELA: sketch-based 3D model retrieval using a structure-based local
approach,
ICMR11(26).
DOI Link
1301
BibRef
Saavedra, J.M.[Jose M.],
Bustos, B.[Benjamin],
An Improved Histogram of Edge Local Orientations for Sketch-Based Image
Retrieval,
DAGM10(432-441).
Springer DOI
1009
BibRef
Zou, C.,
Wang, C.,
Wen, Y.,
Zhang, L.,
Liu, J.,
Viewpoint-Aware Representation for Sketch-Based 3D Model Retrieval,
SPLetters(21), No. 8, August 2014, pp. 966-970.
IEEE DOI
1406
Context
BibRef
Wang, S.[Shu],
Zhang, J.[Jian],
Han, T.X.[Tony X.],
Miao, Z.J.[Zhen-Jiang],
Sketch-Based Image Retrieval Through Hypothesis-Driven Object
Boundary Selection With HLR Descriptor,
MultMed(17), No. 7, July 2015, pp. 1045-1057.
IEEE DOI
1506
Feature extraction
BibRef
Ma, C.[Chao],
Yang, X.K.[Xiao-Kang],
Zhang, C.Y.[Chong-Yang],
Ruan, X.[Xiang],
Yang, M.H.[Ming-Hsuan],
Sketch retrieval via local dense stroke features,
IVC(46), No. 1, 2016, pp. 64-73.
Elsevier DOI
1603
BibRef
Earlier:
Sketch Retrieval via Dense Stroke Features,
BMVC13(xx-yy).
DOI Link
1412
Sketch retrieval
BibRef
Zhang, Y.,
Qian, X.,
Tan, X.,
Han, J.,
Tang, Y.,
Sketch-Based Image Retrieval by Salient Contour Reinforcement,
MultMed(18), No. 8, August 2016, pp. 1604-1615.
IEEE DOI
1608
feature extraction
BibRef
Huang, F.[Fei],
Jin, C.[Cheng],
Zhang, Y.J.[Yue-Jie],
Weng, K.[Kangnian],
Zhang, T.[Tao],
Fan, W.G.[Wei-Guo],
Sketch-based image retrieval with deep visual semantic descriptor,
PR(76), No. 1, 2018, pp. 537-548.
Elsevier DOI
1801
Sketch-based image retrieval (SBIR)
BibRef
Wang, Y.F.[Yan-Fei],
Huang, F.[Fei],
Zhang, Y.J.[Yue-Jie],
Feng, R.[Rui],
Zhang, T.[Tao],
Fan, W.G.[Wei-Guo],
Deep cascaded cross-modal correlation learning for fine-grained
sketch-based image retrieval,
PR(100), 2020, pp. 107148.
Elsevier DOI
2005
Fine-grained Sketch-based Image Retrieval (FG-SBIR),
Deep Cascaded Cross-modal Correlation Learning, Deep Triplet Ranking
BibRef
Jin, C.[Cheng],
Li, C.J.[Chen-Jie],
Wang, Z.M.[Zhe-Ming],
Zhang, Y.J.[Yue-Jie],
Zhang, T.[Tao],
Sketch-Based Image Retrieval with a Novel BoVW Representation,
MMMod16(I: 621-631).
Springer DOI
1601
BibRef
Huang, M.[Ming],
Lin, J.[Jia_Jun],
Chen, N.[Ning],
An, W.[Wei],
Zhu, W.[Wei_Jian],
Reversed Sketch: A scalable and comparable shape representation,
PR(80), 2018, pp. 168-182.
Elsevier DOI
1805
Shape representation, Image matching, Contour detection,
Polygon evolution, Content-based image retrieval
BibRef
Xu, D.[Dan],
Alameda-Pineda, X.,
Song, J.K.[Jing-Kuan],
Ricci, E.[Elisa],
Sebe, N.[Nicu],
Cross-Paced Representation Learning With Partial Curricula for
Sketch-Based Image Retrieval,
IP(27), No. 9, September 2018, pp. 4410-4421.
IEEE DOI
1807
concave programming, feature extraction, image matching,
image representation, image retrieval,
self-paced learning
BibRef
Tolias, G.[Giorgos],
Chum, O.[Ondrej],
Efficient contour match kernel,
IVC(76), 2018, pp. 14-26.
Elsevier DOI
1808
BibRef
Earlier:
Asymmetric Feature Maps with Application to Sketch Based Retrieval,
CVPR17(6185-6193)
IEEE DOI
1711
Sketch-based image retrieval, Efficient contour matching,
Kernel descriptors, Asymmetric feature maps.
Image representation, Indexes, Kernel,
Memory management, Shape.
BibRef
Bhattacharjee, S.D.,
Yuan, J.,
Huang, Y.,
Meng, J.,
Duan, L.,
Query Adaptive Multiview Object Instance Search and Localization
Using Sketches,
MultMed(20), No. 10, October 2018, pp. 2761-2773.
IEEE DOI
1810
feature extraction, graph theory, image colour analysis,
image matching, image retrieval, object detection, search problems,
transductive clustering
BibRef
Li, Y.[Yi],
Li, W.Z.[Wen-Zhao],
A survey of sketch-based image retrieval,
MVA(29), No. 7, October 2018, pp. 1083-1100.
WWW Link.
1810
Survey, Sketch-Based Retrieval.
BibRef
Zhou, W.[Wen],
Jia, J.Y.[Jin-Yuan],
A learning framework for shape retrieval based on multilayer
perceptrons,
PRL(117), 2019, pp. 119-130.
Elsevier DOI
1901
Sketch-based local binary patterns.
Siamese MLP, Transfer learning, Joint Bayesian, Shape retrieval.
BibRef
Ahmad, J.[Jamil],
Muhammad, K.[Khan],
Shah, S.I.A.[Syed Inayat Ali],
Sangaiah, A.K.[Arun Kumar],
Baik, S.W.[Sung Wook],
Partially shaded sketch-based image search in real mobile device
environments via sketch-oriented compact neural codes,
RealTimeIP(16), No. 1, February 2019, pp. 227-240.
Springer DOI
WWW Link.
1902
BibRef
Lin, F.Y.[Feng-Yin],
Li, M.K.[Ming-Kang],
Li, D.[Da],
Hospedales, T.M.[Timothy M.],
Song, Y.Z.[Yi-Zhe],
Qi, Y.G.[Yong-Gang],
Zero-Shot Everything Sketch-Based Image Retrieval, and in Explainable
Style,
CVPR23(23349-23358)
IEEE DOI
2309
BibRef
Sain, A.[Aneeshan],
Bhunia, A.K.[Ayan Kumar],
Chowdhury, P.N.[Pinaki Nath],
Koley, S.[Subhadeep],
Xiang, T.[Tao],
Song, Y.Z.[Yi-Zhe],
CLIP for All Things Zero-Shot Sketch-Based Image Retrieval,
Fine-Grained or Not,
CVPR23(2765-2775)
IEEE DOI
2309
BibRef
Dey, S.[Sounak],
Riba, P.[Pau],
Dutta, A.[Anjan],
Llados, J.[Josep],
Song, Y.Z.[Yi-Zhe],
Doodle to Search: Practical Zero-Shot Sketch-Based Image Retrieval,
CVPR19(2174-2183).
IEEE DOI
2002
BibRef
Xu, P.[Peng],
Yin, Q.Y.[Qi-Yue],
Qi, Y.G.[Yong-Gang],
Song, Y.Z.[Yi-Zhe],
Ma, Z.Y.[Zhan-Yu],
Wang, L.[Liang],
Guo, J.[Jun],
Instance-Level Coupled Subspace Learning for Fine-Grained Sketch-Based
Image Retrieval,
Sketch16(I: 19-34).
Springer DOI
BibRef
1600
Earlier: Update
Pre-mission time: afout 12-15 other
1611
BibRef
Xu, P.[Peng],
Liu, K.[Kun],
Xiang, T.[Tao],
Hospedales, T.M.[Timothy M.],
Ma, Z.Y.[Zhan-Yu],
Guo, J.[Jun],
Song, Y.Z.[Yi-Zhe],
Fine-Grained Instance-Level Sketch-Based Video Retrieval,
CirSysVideo(31), No. 5, 2021, pp. 1995-2007.
IEEE DOI
2105
BibRef
Xiang, T.[Tao],
Hospedales, T.M.[Timothy M.],
Fine-Grained Instance-Level Sketch-Based Image Retrieval,
IJCV(129), No. 2, February 2021, pp. 484-500.
Springer DOI
2102
BibRef
Qi, A.[Anran],
Gryaditskaya, Y.[Yulia],
Song, J.F.[Ji-Fei],
Yang, Y.X.[Yong-Xin],
Qi, Y.G.[Yong-Gang],
Hospedales, T.M.[Timothy M.],
Xiang, T.[Tao],
Song, Y.Z.[Yi-Zhe],
Toward Fine-Grained Sketch-Based 3D Shape Retrieval,
IP(30), 2021, pp. 8595-8606.
IEEE DOI
2110
Shape, Solid modeling, Image retrieval,
Transformers, Task analysis, Computational modeling, Sketch,
view-attention
BibRef
Song, J.F.[Ji-Fei],
Song, Y.Z.[Yi-Zhe],
Xiang, T.[Tao],
Hospedales, T.M.[Timothy M.],
Ruan, X.[Xiang],
Deep Multi-task Attribute-Driven Ranking for Fine-Grained Sketch-Based
Image Retrieval,
BMVC16(xx-yy).
HTML Version.
1805
BibRef
Pang, K.Y.[Kai-Yue],
Li, D.[Da],
Song, J.F.[Ji-Fei],
Song, Y.Z.[Yi-Zhe],
Xiang, T.[Tao],
Hospedales, T.M.[Timothy M.],
Deep Factorised Inverse-Sketching,
ECCV18(XV: 37-54).
Springer DOI
1810
BibRef
Song, J.F.[Ji-Fei],
Yu, Q.,
Song, Y.Z.,
Xiang, T.[Tao],
Hospedales, T.M.[Timothy M.],
Deep Spatial-Semantic Attention for Fine-Grained Sketch-Based Image
Retrieval,
ICCV17(5552-5561)
IEEE DOI
1802
content-based retrieval, feature extraction, image matching,
image representation, image retrieval,
Visualization
BibRef
Pang, K.Y.[Kai-Yue],
Li, K.[Ke],
Yang, Y.X.[Yong-Xin],
Zhang, H.G.[Hong-Gang],
Hospedales, T.M.[Timothy M.],
Xiang, T.[Tao],
Song, Y.Z.[Yi-Zhe],
Generalising Fine-Grained Sketch-Based Image Retrieval,
CVPR19(677-686).
IEEE DOI
2002
BibRef
Li, K.[Ke],
Pang, K.Y.[Kai-Yue],
Song, Y.Z.[Yi-Zhe],
Hospedales, T.M.[Timothy M.],
Xiang, T.,
Zhang, H.G.[Hong-Gang],
Synergistic Instance-Level Subspace Alignment for Fine-Grained
Sketch-Based Image Retrieval,
IP(26), No. 12, December 2017, pp. 5908-5921.
IEEE DOI
1710
fine-grained sketch-based image retrieval,
supervised deformable part-based models,
Footwear, Semantics
BibRef
Luo, L.[Ling],
Gryaditskaya, Y.[Yulia],
Yang, Y.X.[Yong-Xin],
Xiang, T.[Tao],
Song, Y.Z.[Yi-Zhe],
Fine-Grained VR Sketching: Dataset and Insights.,
3DV21(1003-1013)
IEEE DOI
2201
BibRef
Earlier:
Towards 3D VR-Sketch to 3D Shape Retrieval,
3DV20(81-90)
IEEE DOI
2102
Training, Data analysis, Shape, Navigation, Distortion,
Market research, shape retrieval, VR sketch.
Shape, Solid modeling, Task analysis, Training data,
Abstract 3D sketch
BibRef
Bhunia, A.K.[Ayan Kumar],
Sain, A.[Aneeshan],
Shah, P.H.[Parth Hiren],
Gupta, A.[Animesh],
Chowdhury, P.N.[Pinaki Nath],
Xiang, T.[Tao],
Song, Y.Z.[Yi-Zhe],
Adaptive Fine-Grained Sketch-Based Image Retrieval,
ECCV22(XXXVII:163-181).
Springer DOI
2211
BibRef
Zhong, Y.,
Gryaditskaya, Y.,
Zhang, H.,
Song, Y.Z.,
Deep Sketch-Based Modeling: Tips and Tricks,
3DV20(543-552)
IEEE DOI
2102
Shape, Image reconstruction,
Solid modeling, Rendering (computer graphics),
single image reconstruction
BibRef
Bhunia, A.K.[Ayan Kumar],
Yang, Y.X.[Yong-Xin],
Hospedales, T.M.[Timothy M.],
Xiang, T.[Tao],
Song, Y.Z.[Yi-Zhe],
Sketch Less for More:
On-the-Fly Fine-Grained Sketch-Based Image Retrieval,
CVPR20(9776-9785)
IEEE DOI
2008
Training, Learning (artificial intelligence),
Task analysis, Image retrieval, Noise measurement, Rendering (computer graphics)
BibRef
Bhunia, A.K.[Ayan Kumar],
Chowdhury, P.N.[Pinaki Nath],
Sain, A.[Aneeshan],
Yang, Y.X.[Yong-Xin],
Xiang, T.[Tao],
Song, Y.Z.[Yi-Zhe],
More Photos are All You Need: Semi-Supervised Learning for
Fine-Grained Sketch Based Image Retrieval,
CVPR21(4245-4254)
IEEE DOI
2111
Training, Image retrieval,
Semisupervised learning, Data models, Pattern recognition, Noise measurement
BibRef
Zhong, Y.[Yue],
Qi, Y.G.[Yong-Gang],
Gryaditskaya, Y.[Yulia],
Zhang, H.G.[Hong-Gang],
Song, Y.Z.[Yi-Zhe],
Towards Practical Sketch-Based 3D Shape Generation:
The Role of Professional Sketches,
CirSysVideo(31), No. 9, September 2021, pp. 3518-3528.
IEEE DOI
2109
Shape, Solid modeling, Image reconstruction, Training, deep sketch modeling
BibRef
Li, K.[Ke],
Pang, K.Y.[Kai-Yue],
Song, Y.Z.[Yi-Zhe],
Hospedales, T.M.[Timothy M.],
Zhang, H.G.[Hong-Gang],
Hu, Y.C.[Yi-Chuan],
Fine-Grained Sketch-Based Image Retrieval:
The Role of Part-Aware Attributes,
WACV16(1-9)
IEEE DOI
1606
Feature extraction
BibRef
Li, K.[Ke],
Pang, K.Y.[Kai-Yue],
Song, Y.Z.[Yi-Zhe],
Xiang, T.[Tao],
Hospedales, T.M.[Timothy M.],
Zhang, H.G.[Hong-Gang],
Toward Deep Universal Sketch Perceptual Grouper,
IP(28), No. 7, July 2019, pp. 3219-3231.
IEEE DOI
1906
feature extraction, group theory, image retrieval,
image segmentation, object detection, free-hand sketches,
dataset
BibRef
Li, K.[Ke],
Pang, K.Y.[Kai-Yue],
Song, J.F.[Ji-Fei],
Song, Y.Z.[Yi-Zhe],
Xiang, T.[Tao],
Hospedales, T.M.[Timothy M.],
Zhang, H.G.[Hong-Gang],
Universal Sketch Perceptual Grouping,
ECCV18(VIII: 593-609).
Springer DOI
1810
BibRef
Zhang, Y.[Yue],
Lin, Y.P.[Ya-Ping],
Quantitative similarity calculation method for trajectory-directed
line using sketch retrieval,
JVCIR(59), 2019, pp. 448-454.
Elsevier DOI
1903
Trajectory, Directed line, Topological relationship, Key point, Similarity
BibRef
Liu, F.,
Xiang, T.,
Hospedales, T.M.,
Yang, W.,
Sun, C.,
Semantic Regularisation for Recurrent Image Annotation,
CVPR17(4160-4168)
IEEE DOI
1711
Correlation, Decoding, Predictive models, Semantics, Training, Visualization
BibRef
Zou, C.Q.[Chang-Qing],
Yu, Q.[Qian],
Du, R.F.[Ruo-Fei],
Mo, H.R.[Hao-Ran],
Song, Y.Z.[Yi-Zhe],
Xiang, T.[Tao],
Gao, C.Y.[Cheng-Ying],
Chen, B.Q.[Bao-Quan],
Zhang, H.[Hao],
SketchyScene: Richly-Annotated Scene Sketches,
ECCV18(XV: 438-454).
Springer DOI
1810
BibRef
Choi, J.,
Cho, H.,
Song, J.,
Yoon, S.M.,
SketchHelper: Real-Time Stroke Guidance for Freehand Sketch Retrieval,
MultMed(21), No. 8, August 2019, pp. 2083-2092.
IEEE DOI
1908
CAD, computer graphics, content-based retrieval, image retrieval,
learning (artificial intelligence), query processing,
deep learning
BibRef
Lei, Y.J.[Yin-Jie],
Zhou, Z.Q.[Zi-Qin],
Zhang, P.P.[Ping-Ping],
Guo, Y.L.[Yu-Lan],
Ma, Z.J.[Zi-Jun],
Liu, L.Q.[Ling-Qiao],
Deep point-to-subspace metric learning for sketch-based 3D shape
retrieval,
PR(96), 2019, pp. 106981.
Elsevier DOI
1909
3D sketches, 3D Data.
Sketch-based 3D shape retrieval, Cross-modality discrepancy,
Representative-view selection, Point-to-subspace distance
BibRef
Suris, D.[Didac],
Recasens, A.[Adria],
Bau, D.[David],
Harwath, D.[David],
Glass, J.[James],
Torralba, A.B.[Antonio B.],
Learning Words by Drawing Images,
CVPR19(2029-2038).
IEEE DOI
2002
Learn the correspondence between spoken words and abstract visual attributes.
BibRef
Zhang, X.Y.[Xing-Yuan],
Huang, Y.P.[Ya-Ping],
Zou, Q.[Qi],
Pei, Y.T.[Yan-Ting],
Zhang, R.S.[Run-Sheng],
Wang, S.[Song],
A Hybrid convolutional neural network for sketch recognition,
PRL(130), 2020, pp. 73-82.
Elsevier DOI
2002
Sketch recognition, Convolutional neural network,
Feature extraction, Sketch-based image retrieval
BibRef
Dutta, T.,
Biswas, S.,
s-SBIR: Style Augmented Sketch based Image Retrieval,
WACV20(3250-3259)
IEEE DOI
2006
Image color analysis, Image retrieval, Training,
Feature extraction, Image coding, Shape, Mixers
BibRef
Qian, X.M.[Xue-Ming],
Tan, X.L.[Xiang-Long],
Zhang, Y.T.[Yu-Ting],
Hong, R.C.[Ri-Chang],
Wang, M.[Meng],
Enhancing Sketch-Based Image Retrieval by Re-Ranking and Relevance
Feedback,
IP(25), No. 1, January 2016, pp. 195-208.
IEEE DOI
1601
Feature extraction
BibRef
Wang, L.[Luo],
Qian, X.M.[Xue-Ming],
Zhang, X.J.[Xing-Jun],
Hou, X.S.[Xing-Song],
Sketch-Based Image Retrieval with Multi-Clustering Re-Ranking,
CirSysVideo(30), No. 12, December 2020, pp. 4929-4943.
IEEE DOI
2012
Image edge detection, Semantics, Image retrieval,
Feature extraction, Task analysis, Visualization, Training,
multi-clustering
BibRef
Wang, L.[Luo],
Qian, X.M.[Xue-Ming],
Zhang, Y.T.[Yu-Ting],
Shen, J.L.[Jia-Lie],
Cao, X.C.[Xiao-Chun],
Enhancing Sketch-Based Image Retrieval by CNN Semantic Re-Ranking,
Cyber(50), No. 7, July 2020, pp. 3330-3342.
IEEE DOI
2006
Semantics, Feature extraction, Image edge detection,
Image retrieval, Bridges, Noise measurement, Data mining,
sketch-based image retrieval (SBIR)
BibRef
Lei, J.J.[Jian-Jun],
Zheng, K.F.[Kai-Fu],
Zhang, H.[Hua],
Cao, X.C.[Xiao-Chun],
Ling, N.[Nam],
Hou, Y.H.[Yong-Hong],
Sketch Based Image Retrieval Via Image-Aided Cross Domain Learning,
ICIP17(3685-3689)
IEEE DOI
1803
Data mining, Feature extraction, Image edge detection,
Image retrieval, Machine learning, Shape, Task analysis, CNN,
Sketch
BibRef
Zhang, H.[Hao],
Zhang, C.[Chuang],
Wu, M.[Ming],
Sketch-Based Cross-Domain Image Retrieval via Heterogeneous Network,
VCIP17(1-4)
IEEE DOI
1804
edge detection, feature extraction, image representation,
image retrieval, Siamese network, cross-domain image retrieval,
the order of drawing
BibRef
Lei, J.,
Song, Y.,
Peng, B.,
Ma, Z.,
Shao, L.,
Song, Y.,
Semi-Heterogeneous Three-Way Joint Embedding Network for Sketch-Based
Image Retrieval,
CirSysVideo(30), No. 9, September 2020, pp. 3226-3237.
IEEE DOI
2009
Image edge detection, Semantics, Feature extraction, Task analysis,
Image retrieval, Image color analysis, Shape, SBIR,
hybrid-loss mechanism
BibRef
Bai, C.[Cong],
Chen, J.[Jian],
Ma, Q.[Qing],
Hao, P.Y.[Peng-Yi],
Chen, S.Y.[Sheng-Yong],
Cross-domain representation learning by domain-migration generative
adversarial network for sketch based image retrieval,
JVCIR(71), 2020, pp. 102835.
Elsevier DOI
2009
Sketch based image retrieval, Cross-domain learning,
Generative adversarial learning, Similarity learning
BibRef
Dutta, A.[Anjan],
Akata, Z.[Zeynep],
Semantically Tied Paired Cycle Consistency for Any-Shot Sketch-Based
Image Retrieval,
IJCV(128), No. 10-11, November 2020, pp. 2684-2703.
Springer DOI
2009
BibRef
Earlier:
Semantically Tied Paired Cycle Consistency for Zero-Shot Sketch-Based
Image Retrieval,
CVPR19(5084-5093).
IEEE DOI
2002
BibRef
Thong, W.[William],
Mettes, P.S.[Pascal S.],
Snoek, C.G.M.[Cees G.M.],
Open cross-domain visual search,
CVIU(200), 2020, pp. 103045.
Elsevier DOI
2010
Domain-specific prototype learners.
E.g. sketch based.
BibRef
Hu, C.H.[Cong-Hui],
Li, D.[Da],
Yang, Y.X.[Yong-Xin],
Hospedales, T.M.[Timothy M.],
Song, Y.Z.[Yi-Zhe],
Sketch-a-Segmenter: Sketch-Based Photo Segmenter Generation,
IP(29), 2020, pp. 9470-9481.
IEEE DOI
1806
Image segmentation, Training, Feature extraction, Semantics,
Task analysis, Data models, Training data,
dataset
BibRef
Hu, C.H.[Cong-Hui],
Li, D.[Da],
Song, Y.Z.[Yi-Zhe],
Xiang, T.[Tao],
Hospedales, T.M.[Timothy M.],
Sketch-a-Classifier: Sketch-Based Photo Classifier Generation,
CVPR18(9136-9144)
IEEE DOI
1812
Training, Support vector machines, Task analysis,
Feature extraction, Birds, Image recognition, Pattern recognition
BibRef
Muhammad, U.R.,
Yang, Y.,
Song, Y.,
Xiang, T.,
Hospedales, T.M.,
Learning Deep Sketch Abstraction,
CVPR18(8014-8023)
IEEE DOI
1812
Solid modeling, Task analysis, Computational modeling, Indexes,
Analytical models, Recurrent neural networks
BibRef
Xu, P.[Peng],
Huang, Y.Y.[Yong-Ye],
Yuan, T.T.[Tong-Tong],
Pang, K.Y.[Kai-Yue],
Song, Y.Z.[Yi-Zhe],
Xiang, T.[Tao],
Hospedales, T.M.[Timothy M.],
Ma, Z.Y.[Zhan-Yu],
Guo, J.[Jun],
SketchMate: Deep Hashing for Million-Scale Human Sketch Retrieval,
CVPR18(8090-8098)
IEEE DOI
1812
Task analysis, Visualization, Semantics, Binary codes,
Quantization (signal), Entropy, Computer architecture
BibRef
Furuya, T.[Takahiko],
Ohbuchi, R.[Ryutarou],
Transcoding across 3D shape representations for unsupervised learning
of 3D shape feature,
PRL(138), 2020, pp. 146-154.
Elsevier DOI
2010
BibRef
And:
Deep Aggregation of Local 3D Geometric Features for 3D Model Retrieval,
BMVC16(xx-yy).
HTML Version.
1805
BibRef
Earlier:
Hashing Cross-Modal Manifold for Scalable Sketch-Based 3D Model
Retrieval,
3DV14(543-550)
IEEE DOI
1503
BibRef
And:
Fusing Multiple Features for Shape-based 3D Model Retrieval,
BMVC14(xx-yy).
HTML Version.
1410
BibRef
And:
Visual Saliency Weighting and Cross-Domain Manifold Ranking for
Sketch-Based Image Retrieval,
MMMod14(I: 37-49).
Springer DOI
1405
Unsupervised feature learning,
3D shape retrieval and classification, Deep learning, Autoencoder.
Computational modeling.
BibRef
Xu, Y.,
Hu, J.,
Wattanachote, K.,
Zeng, K.,
Gong, Y.,
Sketch-Based Shape Retrieval via Best View Selection and a
Cross-Domain Similarity Measure,
MultMed(22), No. 11, November 2020, pp. 2950-2962.
IEEE DOI
2010
Shape, Feature extraction,
Rendering (computer graphics), Shape measurement, Solid modeling,
best view selection
BibRef
Xu, F.,
Yang, W.,
Jiang, T.,
Lin, S.,
Luo, H.,
Xia, G.S.,
Mental Retrieval of Remote Sensing Images via Adversarial
Sketch-Image Feature Learning,
GeoRS(58), No. 11, November 2020, pp. 7801-7814.
IEEE DOI
2011
Remote sensing, Image retrieval, Visualization, Measurement,
Benchmark testing, Feature extraction, Bridges,
sketch
BibRef
Qi, Y.G.[Yong-Gang],
Song, Y.Z.[Yi-Zhe],
Sketch Fewer to Recognize More by Learning a Co-Regularized Sparse
Representation,
CirSysVideo(30), No. 12, December 2020, pp. 4849-4860.
IEEE DOI
2012
Encoding, Task analysis, Training, Semantics, Neural networks,
Image recognition, Image retrieval, Sketch categorization,
few-shot classification
BibRef
Yang, Z.T.[Zhan-Tao],
Zhu, X.G.[Xiao-Guang],
Qian, J.C.[Jiu-Chao],
Liu, P.L.[Pei-Lin],
Dark-Aware Network For Fine-Grained Sketch-Based Image Retrieval,
SPLetters(28), 2021, pp. 264-268.
IEEE DOI
2102
Image edge detection, Image retrieval, Training,
Image color analysis, Generators, sketch-based image retrieval
BibRef
Yang, F.[Fan],
Wu, Y.[Yang],
Wang, Z.[Zheng],
Li, X.[Xiang],
Sakti, S.[Sakriani],
Nakamura, S.[Satoshi],
Instance-Level Heterogeneous Domain Adaptation for Limited-Labeled
Sketch-to-Photo Retrieval,
MultMed(23), 2021, pp. 2347-2360.
IEEE DOI
2108
Task analysis, Training data, Data models, Image retrieval,
Connectors, Training, Entropy, Domain adaptation,
person re-identification
BibRef
Dutta, T.[Titir],
Singh, A.[Anurag],
Biswas, S.[Soma],
StyleGuide: Zero-Shot Sketch-Based Image Retrieval Using Style-Guided
Image Generation,
MultMed(23), 2021, pp. 2833-2842.
IEEE DOI
2109
Protocols, Image retrieval, Training, Feature extraction,
Loss measurement, Image reconstruction, Sketch-based retrieval,
novelty detection
BibRef
Liang, S.[Shuang],
Dai, W.D.[Wei-Dong],
Wei, Y.C.[Yi-Chen],
Uncertainty Learning for Noise Resistant Sketch-Based 3D Shape
Retrieval,
IP(30), 2021, pp. 8632-8643.
IEEE DOI
2110
Shape, Noise measurement, Uncertainty,
Task analysis, Convolutional neural networks, Resistance,
noisy sketch data
BibRef
Liang, S.[Shuang],
Dai, W.D.[Wei-Dong],
Cai, Y.Y.[Yi-Yang],
Xie, C.[Chi],
Sketch-based 3D shape retrieval via teacher-student learning,
CVIU(239), 2024, pp. 103903.
Elsevier DOI
2402
Sketch, 3D shape retrieval, Cross-modal difference,
Teacher-student learning, Feature transfer
BibRef
Chen, Y.D.[Yang-Dong],
Zhang, Z.L.[Zhao-Long],
Wang, Y.F.[Yan-Fei],
Zhang, Y.J.[Yue-Jie],
Feng, R.[Rui],
Zhang, T.[Tao],
Fan, W.G.[Wei-Guo],
AE-Net: Fine-Grained Sketch-Based Image Retrieval Via
Attention-Enhanced Network,
PR(122), 2022, pp. 108291.
Elsevier DOI
2112
Fine-grained sketch-based image retrieval (FG-SBIR),
Residual channel attention, Local self-spatial attention,
Spatial sequence transformer
BibRef
Zhang, X.L.[Xian-Lin],
Shen, M.L.[Meng-Ling],
Li, X.M.[Xue-Ming],
Feng, F.X.[Fang-Xiang],
A deformable CNN-based triplet model for fine-grained sketch-based
image retrieval,
PR(125), 2022, pp. 108508.
Elsevier DOI
2203
Freehand sketches, FG-SBIR, Semantic attributes,
Deformable CNNs, Preprocessing
BibRef
Tursun, O.[Osman],
Denman, S.[Simon],
Sridharan, S.[Sridha],
Goan, E.[Ethan],
Fookes, C.[Clinton],
An efficient framework for zero-shot sketch-based image retrieval,
PR(126), 2022, pp. 108528.
Elsevier DOI
2204
Sketch-based image retrieval, Zero-shot learning,
Knowledge distillation, Similarity learning
BibRef
Tursun, O.[Osman],
Denman, S.[Simon],
Sridharan, S.[Sridha],
Fookes, C.[Clinton],
Learning test-time augmentation for content-based image retrieval,
CVIU(222), 2022, pp. 103494.
Elsevier DOI
2209
Test time augmentation, Image retrieval, Data augmentation,
Reinforcement learning
BibRef
Li, J.T.[Jiang-Tong],
Ling, Z.X.[Zhi-Xin],
Niu, L.[Li],
Zhang, L.Q.[Li-Qing],
Zero-shot sketch-based image retrieval with structure-aware
asymmetric disentanglement,
CVIU(218), 2022, pp. 103412.
Elsevier DOI
2205
Disentangled representation, Domain translation,
Zero-shot learning, Sketch-based image retrieval
BibRef
Liu, F.[Fang],
Deng, X.M.[Xiao-Ming],
Zou, C.Q.[Chang-Qing],
Lai, Y.K.[Yu-Kun],
Chen, K.Q.[Ke-Qi],
Zuo, R.[Ran],
Ma, C.X.[Cui-Xia],
Liu, Y.J.[Yong-Jin],
Wang, H.A.[Hong-An],
SceneSketcher-v2: Fine-Grained Scene-Level Sketch-Based Image
Retrieval Using Adaptive GCNs,
IP(31), 2022, pp. 3737-3751.
IEEE DOI
2206
BibRef
Earlier: A1, A3, A2, A6, A4, A7, A8, A9, Only:
Scenesketcher: Fine-grained Image Retrieval with Scene Sketches,
ECCV20(XIX:718-734).
Springer DOI
2011
Image retrieval, Semantics, Visualization, Layout, Task analysis,
Adaptation models, Sketch-based image retrieval,
fine-grained image retrieval
BibRef
Zuo, R.[Ran],
Deng, X.M.[Xiao-Ming],
Chen, K.Q.[Ke-Qi],
Zhang, Z.M.[Zheng-Ming],
Lai, Y.K.[Yu-Kun],
Liu, F.[Fang],
Ma, C.X.[Cui-Xia],
Wang, H.[Hao],
Liu, Y.J.[Yong-Jin],
Wang, H.A.[Hong-An],
Fine-Grained Video Retrieval With Scene Sketches,
IP(32), 2023, pp. 3136-3149.
IEEE DOI
2306
Task analysis, Semantics, Visualization,
Convolutional neural networks, Layout, Image coding, Encoding,
graph convolutional networks
BibRef
Jing, T.T.[Tao-Tao],
Xia, H.F.[Hai-Feng],
Hamm, J.[Jihun],
Ding, Z.M.[Zheng-Ming],
Augmented Multimodality Fusion for Generalized Zero-Shot Sketch-Based
Visual Retrieval,
IP(31), 2022, pp. 3657-3668.
IEEE DOI
2206
Semantics, Visualization, Image retrieval, Training, Probes,
Task analysis, Protocols, Sketch-based image retrieval, multi-modality fusion
BibRef
Howe, B.[Bill],
Technical Perspective:
Visualization Search: From Sketching to Natural Language,
CACM(65), No. 7, July 2022, pp. 84.
DOI Link
2205
Review of the method.
BibRef
Zhang, G.J.[Gang-Jian],
Wei, S.K.[Shi-Kui],
Pang, H.X.[Hua-Xin],
Qiu, S.[Shuang],
Zhao, Y.[Yao],
Composed Image Retrieval via Explicit Erasure and Replenishment With
Semantic Alignment,
IP(31), 2022, pp. 5976-5988.
IEEE DOI
2209
Given an image and text.
Semantics, Image retrieval, Task analysis, Kernel, Visualization,
Manuals, Fuses, Composed image retrieval, image retrieval
BibRef
Sun, H.F.[Hai-Feng],
Xu, J.Q.[Jia-Qing],
Wang, J.Y.[Jing-Yu],
Qi, Q.[Qi],
Ge, C.[Ce],
Liao, J.X.[Jian-Xin],
DLI-Net: Dual Local Interaction Network for Fine-Grained Sketch-Based
Image Retrieval,
CirSysVideo(32), No. 10, October 2022, pp. 7177-7189.
IEEE DOI
2210
Feature extraction, Task analysis, Image retrieval, Shape, Detectors,
Proposals, FG-SBIR, sketch, local features, dual interaction module,
cross interaction module
BibRef
Zhao, Y.[Yang],
Ren, D.Y.[Di-Ya],
Jia, W.[Wei],
Wang, R.G.[Rong-Gang],
Liu, X.P.[Xiao-Ping],
Cartoon Image Processing: A Survey,
IJCV(130), No. 11, November 2022, pp. 2733-2769.
Springer DOI
2210
Survey, Cartoons.
BibRef
Zhao, Y.[Yue],
Liang, Q.[Qi],
Ma, R.X.[Rui-Xin],
Nie, W.Z.[Wei-Zhi],
Su, Y.T.[Yu-Ting],
JFLN: Joint Feature Learning Network for 2D sketch based 3D shape
retrieval,
JVCIR(89), 2022, pp. 103668.
Elsevier DOI
2212
Sketch-based 3D shape retrieval, Attention mechanism, Cross-modal retrieval
BibRef
Ren, H.[Hao],
Zheng, Z.Q.[Zi-Qiang],
Wu, Y.[Yang],
Lu, H.[Hong],
Yang, Y.[Yang],
Shan, Y.[Ying],
Yeung, S.K.[Sai-Kit],
ACNet: Approaching-and-Centralizing Network for Zero-Shot
Sketch-Based Image Retrieval,
CirSysVideo(33), No. 9, September 2023, pp. 5022-5035.
IEEE DOI
2310
BibRef
Zhang, Z.C.[Zi-Chao],
Xie, Z.Y.[Zhen-Yu],
Chen, Z.D.[Zhen-Duo],
Zhan, Y.W.[Yu-Wei],
Luo, X.[Xin],
Xu, X.S.[Xin-Shun],
Expansion window local alignment weighted network for fine-grained
sketch-based image retrieval,
PR(144), 2023, pp. 109892.
Elsevier DOI
2310
Fine-grained sketch-based image retrieval, Local feature,
Expansion window, Attention mechanism
BibRef
Wang, X.[Xu],
Peng, D.Z.[De-Zhong],
Hu, P.[Peng],
Gong, Y.H.[Yun-Hong],
Chen, Y.[Yong],
Cross-Domain Alignment for Zero-Shot Sketch-Based Image Retrieval,
CirSysVideo(33), No. 11, November 2023, pp. 7024-7035.
IEEE DOI
2311
BibRef
Chaudhuri, A.[Abhra],
Bhunia, A.K.[Ayan Kumar],
Song, Y.Z.[Yi-Zhe],
Dutta, A.[Anjan],
Data-Free Sketch-Based Image Retrieval,
CVPR23(12084-12093)
IEEE DOI
2309
BibRef
Chowdhury, P.N.[Pinaki Nath],
Bhunia, A.K.[Ayan Kumar],
Sain, A.[Aneeshan],
Koley, S.[Subhadeep],
Xiang, T.[Tao],
Song, Y.Z.[Yi-Zhe],
What Can Human Sketches Do for Object Detection?,
CVPR23(15083-15094)
IEEE DOI
2309
BibRef
Li, K.[Ke],
Pang, K.Y.[Kai-Yue],
Song, Y.Z.[Yi-Zhe],
Photo Pre-Training, But for Sketch,
CVPR23(275-285)
IEEE DOI
2309
BibRef
Chowdhury, P.N.[Pinaki Nath],
Bhunia, A.K.[Ayan Kumar],
Sain, A.[Aneeshan],
Koley, S.[Subhadeep],
Xiang, T.[Tao],
Song, Y.Z.[Yi-Zhe],
SceneTrilogy:
On Human Scene-Sketch and its Complementarity with Photo and Text,
CVPR23(10972-10983)
IEEE DOI
2309
BibRef
Jones, S.M.[Shawn M.],
Oyen, D.[Diane],
Abstract Images Have Different Levels of Retrievability Per
Reverse Image Search Engine,
Drawings22(203-222).
Springer DOI
2304
BibRef
Gupta, S.[Sumrit],
Chaudhuri, U.[Ushasi],
Banerjee, B.[Biplab],
Kumar, S.[Saurabh],
Zero-Shot Sketch Based Image Retrieval Using Graph Transformer,
ICPR22(1685-1691)
IEEE DOI
2212
Training, Bridges, Visualization, Image retrieval, Semantics,
Transformers, Topology
BibRef
Zhou, G.Q.[Gang-Qiang],
Ji, Z.H.[Zi-Heng],
Chen, X.[Xin],
Wang, B.[Bin],
StrokeNet: Harmonizing Stoke Domains Between Sketches and Natural
Images for Sketch-based Image Retrieval,
ICPR22(3370-3375)
IEEE DOI
2212
Visualization, Image edge detection,
Image retrieval, Feature extraction, fine-graied SBIR
BibRef
Ling, Z.X.[Zhi-Xin],
Xing, Z.[Zhen],
Zhou, J.[Jian],
Zhou, X.D.[Xiang-Dong],
Conditional Stroke Recovery for Fine-Grained Sketch-Based Image
Retrieval,
ECCV22(XXVI:722-738).
Springer DOI
2211
BibRef
Sangkloy, P.[Patsorn],
Jitkrittum, W.[Wittawat],
Yang, D.[Diyi],
Hays, J.[James],
A Sketch is Worth a Thousand Words:
Image Retrieval with Text and Sketch,
ECCV22(XXXVIII:251-267).
Springer DOI
2211
BibRef
Chowdhury, P.N.[Pinaki Nath],
Bhunia, A.K.[Ayan Kumar],
Gajjala, V.R.[Viswanatha Reddy],
Sain, A.[Aneeshan],
Xiang, T.[Tao],
Song, Y.Z.[Yi-Zhe],
Partially Does It: Towards Scene-Level FG-SBIR with Partial Input,
CVPR22(2385-2395)
IEEE DOI
2210
Image retrieval, Pattern recognition,
Vision applications and systems, Recognition: detection,
Scene analysis and understanding
BibRef
Sain, A.[Aneeshan],
Bhunia, A.K.[Ayan Kumar],
Potlapalli, V.[Vaishnav],
Chowdhury, P.N.[Pinaki Nath],
Xiang, T.[Tao],
Song, Y.Z.[Yi-Zhe],
Sketch3T: Test-Time Training for Zero-Shot SBIR,
CVPR22(7452-7461)
IEEE DOI
2210
Training, Representation learning, Adaptation models,
Machine vision, Image retrieval, Pattern recognition,
Vision applications and systems
BibRef
Morales, J.[Javier],
Murrugarra-Llerena, N.[Nils],
Saavedra, J.M.[Jose M.],
Leveraging Unlabeled Data for Sketch-based Understanding,
SketchDL22(5149-5158)
IEEE DOI
2210
Training, TV, Limiting, Image edge detection, Image retrieval, Data models
BibRef
Bhunia, A.K.[Ayan Kumar],
Koley, S.[Subhadeep],
Khilji, A.F.U.R.[Abdullah Faiz Ur Rahman],
Sain, A.[Aneeshan],
Chowdhury, P.N.[Pinaki Nath],
Xiang, T.[Tao],
Song, Y.Z.[Yi-Zhe],
Sketching without Worrying: Noise-Tolerant Sketch-Based Image
Retrieval,
CVPR22(989-998)
IEEE DOI
2210
Head, Computational modeling, Image retrieval,
Reinforcement learning, Boosting, Pattern recognition,
Vision applications and systems
BibRef
Black, A.[Alexander],
Bui, T.[Tu],
Mai, L.[Long],
Jin, H.L.[Hai-Lin],
Collomosse, J.[John],
Compositional Sketch Search,
ICIP21(2668-2672)
IEEE DOI
2201
Training, Visualization, Quantization (signal), Image coding,
Image retrieval, Object detection, Performance gain, Sketch,
Composition
BibRef
Sampaio Ferraz Ribeiro, L.,
Bui, T.,
Collomosse, J.,
Ponti, M.,
Sketchformer: Transformer-Based Representation for Sketched Structure,
CVPR20(14141-14150)
IEEE DOI
2008
Task analysis, Dictionaries,
Machine learning, Visualization, Decoding, Image retrieval
BibRef
Sain, A.[Aneeshan],
Bhunia, A.K.[Ayan Kumar],
Yang, Y.X.[Yong-Xin],
Xiang, T.[Tao],
Song, Y.Z.[Yi-Zhe],
StyleMeUp: Towards Style-Agnostic Sketch-Based Image Retrieval,
CVPR21(8500-8509)
IEEE DOI
2111
Adaptation models, Codes, Computational modeling,
Semantics, Image retrieval, Pattern recognition
BibRef
Torres, P.[Pablo],
Saavedra, J.M.[Jose M.],
Compact and Effective Representations for Sketch-based Image
Retrieval,
SketchDL21(2115-2123)
IEEE DOI
2109
Dimensionality reduction,
Image retrieval, Memory management, Search engines, Pattern recognition
BibRef
Fuentes, A.[Anibal],
Saavedra, J.M.[Jose M.],
Sketch-QNet:
A Quadruplet ConvNet for Color Sketch-based Image Retrieval,
SketchDL21(2134-2141)
IEEE DOI
2109
Training, Visualization, Image color analysis,
Image retrieval, Computer architecture
BibRef
Ahkouk, K.,
Machkour, M.,
Majhadi, K.,
Mama, R.,
Seq2seq Vs Sketch Filling Structure for Natural Language to SQL
Translation,
SmartCityApp20(7-11).
DOI Link
2012
BibRef
Mouffok, M.Z.,
Tabia, H.,
Elhara, O.A.,
Dual Independent Classification For Sketch-Based 3D Shape Retrieval,
ICIP20(2676-2680)
IEEE DOI
2011
Shape, Solid modeling, Measurement, Neural networks, Manifolds, Sketches
BibRef
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Dani, R.R.[Rajath R.],
Mishra, A.[Anand],
Chakraborty, A.[Anirban],
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ECCV20(VI:532-547).
Springer DOI
2011
BibRef
Lin, H.,
Fu, Y.,
Xue, X.,
Jiang, Y.,
Sketch-BERT: Learning Sketch Bidirectional Encoder Representation
From Transformers by Self-Supervised Learning of Sketch Gestalt,
CVPR20(6757-6766)
IEEE DOI
2008
Task analysis, Bit error rate, Shape, Natural language processing,
Supervised learning, Data science
BibRef
Bhattarai, M.,
Oyen, D.,
Castorena, J.,
Yang, L.,
Wohlberg, B.,
Diagram Image Retrieval using Sketch-Based Deep Learning and Transfer
Learning,
DIRA20(663-672)
IEEE DOI
2008
Patents, Machine learning, Image edge detection, Image retrieval,
Training, Data models
BibRef
Chaudhuri, U.,
Banerjee, B.,
Bhattacharya, A.,
Datcu, M.,
A Simplified Framework for Zero-shot Cross-Modal Sketch Data
Retrieval,
DIRA20(699-706)
IEEE DOI
2008
Semantics, Training, Decoding, Image retrieval, Data models,
Visualization, Prototypes
BibRef
Pandey, A.[Anubha],
Mishra, A.[Ashish],
Verma, V.K.[Vinay Kumar],
Mittal, A.[Anurag],
Murthy, H.A.[Hema A.],
Stacked Adversarial Network for Zero-Shot Sketch based Image
Retrieval,
WACV20(2529-2538)
IEEE DOI
2006
BibRef
Earlier: A1, A2, A3, A4, Only:
Adversarial Joint-Distribution Learning for Novel Class Sketch-Based
Image Retrieval,
MDALC19(1391-1400)
IEEE DOI
2004
Image retrieval, Standards, Semantics,
Task analysis, Generators, Training.
learning (artificial intelligence),
adversarial joint-distribution learning.
BibRef
Yelamarthi, S.K.[Sasi Kiran],
Reddy, S.K.[Shiva Krishna],
Mishra, A.[Ashish],
Mittal, A.[Anurag],
A Zero-Shot Framework for Sketch Based Image Retrieval,
ECCV18(II: 316-333).
Springer DOI
1810
BibRef
Mishra, A.[Anand],
Singh, A.K.[Ajeet Kumar],
Deep Embedding Using Bayesian Risk Minimization with Application to
Sketch Recognition,
ACCV18(V:357-370).
Springer DOI
1906
BibRef
Liu, Q.[Qing],
Xie, L.X.[Ling-Xi],
Wang, H.Y.[Hui-Yu],
Yuille, A.L.[Alan L.],
Semantic-Aware Knowledge Preservation for Zero-Shot Sketch-Based
Image Retrieval,
ICCV19(3661-3670)
IEEE DOI
2004
content-based retrieval, feature extraction, image retrieval,
learning (artificial intelligence), object recognition, ImageNet,
Knowledge engineering
BibRef
Liao, Y.H.[Yuan-Hong],
Puig, X.[Xavier],
Boben, M.[Marko],
Torralba, A.B.[Antonio B.],
Fidler, S.[Sanja],
Synthesizing Environment-Aware Activities via Activity Sketches,
CVPR19(6284-6292).
IEEE DOI
2002
BibRef
Chen, J.X.[Jia-Xin],
Qin, J.[Jie],
Liu, L.[Li],
Zhu, F.[Fan],
Shen, F.M.[Fu-Min],
Xie, J.[Jin],
Shao, L.[Ling],
Deep Sketch-Shape Hashing With Segmented 3D Stochastic Viewing,
CVPR19(791-800).
IEEE DOI
2002
BibRef
Collomosse, J.[John],
Bui, T.[Tu],
Jin, H.L.[Hai-Lin],
LiveSketch: Query Perturbations for Guided Sketch-Based Visual Search,
CVPR19(2874-2882).
IEEE DOI
2002
BibRef
Bui, T.[Tu],
Ribeiro, L.[Leonardo],
Ponti, M.[Moacir],
Collomosse, J.[John],
Deep Manifold Alignment for Mid-Grain Sketch Based Image Retrieval,
ACCV18(III:314-329).
Springer DOI
1906
BibRef
Song, J.F.[Ji-Fei],
Pang, K.Y.[Kai-Yue],
Song, Y.Z.[Yi-Zhe],
Xiang, T.[Tao],
Hospedales, T.M.[Timothy M.],
Learning to Sketch with Shortcut Cycle Consistency,
CVPR18(801-810)
IEEE DOI
1812
Task analysis, Decoding, Noise measurement, Visualization, Training,
Image reconstruction, Unsupervised learning
BibRef
Shen, Y.,
Liu, L.,
Shen, F.,
Shao, L.,
Zero-Shot Sketch-Image Hashing,
CVPR18(3598-3607)
IEEE DOI
1812
Semantics, Training, Task analysis, Training data, Cats, Convolution,
Binary codes
BibRef
Dey, S.[Sounak],
Dutta, A.[Anjan],
Ghosh, S.K.[Suman K.],
Valveny, E.[Ernest],
Lladós, J.[Josep],
Pal, U.[Umapada],
Aligning Salient Objects to Queries: A Multi-modal and Multi-object
Image Retrieval Framework,
ACCV18(II:241-255).
Springer DOI
1906
BibRef
And:
Learning Cross-Modal Deep Embeddings for Multi-Object Image Retrieval
using Text and Sketch,
ICPR18(916-921)
IEEE DOI
1812
Image retrieval, Image representation, Visualization,
Feature extraction, Image edge detection, Standards
BibRef
Chen, J.X.[Jia-Xin],
Fang, Y.[Yi],
Deep Cross-Modality Adaptation via Semantics Preserving Adversarial
Learning for Sketch-Based 3D Shape Retrieval,
ECCV18(XIII: 624-640).
Springer DOI
1810
BibRef
Zhang, J.Y.[Jing-Yi],
Shen, F.M.[Fu-Min],
Liu, L.[Li],
Zhu, F.[Fan],
Yu, M.Y.[Meng-Yang],
Shao, L.[Ling],
Shen, H.T.[Heng Tao],
Van Gool, L.J.[Luc J.],
Generative Domain-Migration Hashing for Sketch-to-Image Retrieval,
ECCV18(II: 304-321).
Springer DOI
1810
BibRef
Jiang, T.,
Xia, G.S.,
Lu, Q.,
Sketch-based aerial image retrieval,
ICIP17(3690-3694)
IEEE DOI
1803
Bridges, Euclidean distance, Image resolution, Image retrieval,
Remote sensing, Task analysis, Training, Sketch,
multi-scale deep model
BibRef
Leibetseder, A.[Andreas],
Kletz, S.[Sabrina],
Schoeffmann, K.[Klaus],
Sketch-Based Similarity Search for Collaborative Feature Maps,
MMMod18(II:425-430).
Springer DOI
1802
BibRef
Rujikietgumjorn, S.[Sitapa],
Watcharapinchai, N.[Nattachai],
Marukatat, S.[Sanparith],
Sloth Search System,
MMMod18(II:431-437).
Springer DOI
1802
BibRef
Collomosse, J.,
Bui, T.,
Wilber, M.,
Fang, C.,
Jin, H.,
Sketching with Style:
Visual Search with Sketches and Aesthetic Context,
ICCV17(2679-2687)
IEEE DOI
1802
art, feature extraction, image retrieval, aesthetic context,
contextual images, digital artwork, hierarchical triplet network,
Visualization
BibRef
Liu, L.,
Shen, F.,
Shen, Y.,
Liu, X.,
Shao, L.,
Deep Sketch Hashing: Fast Free-Hand Sketch-Based Image Retrieval,
CVPR17(2298-2307)
IEEE DOI
1711
Binary codes, Distortion,
Feature extraction, Image edge detection, Image, retrieval
BibRef
Seddati, O.[Omar],
Dupont, S.[Stéphane],
Mahmoudi, S.[Saïd],
Parian, M.,
Towards Good Practices for Image Retrieval Based on CNN Features,
CEFR-LCV17(1246-1255)
IEEE DOI
1802
Benchmark testing, Feature extraction,
Image resolution, Image retrieval, Robustness, Semantics
BibRef
Seddati, O.[Omar],
Dupont, S.[Stéphane],
Mahmoudi, S.[Saïd],
Triplet Networks Feature Masking for Sketch-Based Image Retrieval,
ICIAR17(296-303).
Springer DOI
1706
BibRef
Niu, J.W.[Jian-Wei],
Ma, J.[Jun],
Lu, J.[Jie],
Liu, X.F.[Xue-Feng],
Zhu, Z.Y.[Ze-Yu],
M-SBIR: An Improved Sketch-Based Image Retrieval Method Using Visual
Word Mapping,
MMMod17(II: 257-268).
Springer DOI
1701
BibRef
Yu, Q.[Qian],
Liu, F.[Feng],
Song, Y.Z.[Yi-Zhe],
Xiang, T.[Tao],
Hospedales, T.M.[Timothy M.],
Loy, C.C.[Chen Change],
Sketch Me That Shoe,
CVPR16(799-807)
IEEE DOI
1612
BibRef
Zhang, H.,
Liu, S.,
Zhang, C.,
Ren, W.,
Wang, R.,
Cao, X.,
SketchNet: Sketch Classification with Web Images,
CVPR16(1105-1113)
IEEE DOI
1612
BibRef
Kembhavi, A.[Aniruddha],
Salvato, M.[Mike],
Kolve, E.[Eric],
Seo, M.[Minjoon],
Hajishirzi, H.[Hannaneh],
Farhadi, A.[Ali],
A Diagram is Worth a Dozen Images,
ECCV16(IV: 235-251).
Springer DOI
1611
BibRef
Creswell, A.[Antonia],
Bharath, A.A.[Anil Anthony],
Adversarial Training for Sketch Retrieval,
CVAA16(I: 798-809).
Springer DOI
1611
BibRef
Qi, Y.G.[Yong-Gang],
Song, Y.Z.[Yi-Zhe],
Zhang, H.G.[Hong-Gang],
Liu, J.[Jun],
Sketch-Based Image Retrieval Via Siamese Convolutional Neural Network,
ICIP16(2460-2464)
IEEE DOI
1610
Feature extraction
BibRef
Kukharev, G.[Georgy],
Matveev, Y.[Yuri],
Forczmanski, P.[Pawel],
An Approach to Improve Accuracy of Photo-to-Sketch Matching,
ICIAR16(385-393).
Springer DOI
1608
BibRef
Cai, H.,
Wu, Q.,
Hall, P.,
Beyond Photo-Domain Object Recognition:
Benchmarks for the Cross-Depiction Problem,
TASKCV15(74-79)
IEEE DOI
1602
Recognising visual objects regardless of whether they are
photographed, painted, drawn.
BibRef
Crowley, E.J.[Elliot J.],
Parkhi, O.M.[Omkar M.],
Zisserman, A.[Andrew],
Face Painting: querying art with photos,
BMVC15(xx-yy).
DOI Link
1601
BibRef
Zhang, X.[Xiao],
Chen, X.J.[Xue-Jin],
Robust Sketch-Based Image Retrieval by Saliency Detection,
MMMod16(I: 515-526).
Springer DOI
1601
BibRef
Zhao, H.G.[Han-Guang],
Kong, X.W.[Xiang-Wei],
Fu, H.Y.[Hai-Yan],
Zhang, Y.J.[Yu-Jia],
RST-invariant sketch retrieval based on circular description,
ICIP15(4977-4981)
IEEE DOI
1512
RST-invariant. For touchscreen devices.
BibRef
Wang, F.[Fang],
Kang, L.[Le],
Li, Y.[Yi],
Sketch-based 3D shape retrieval using Convolutional Neural Networks,
CVPR15(1875-1883)
IEEE DOI
1510
BibRef
Leng, C.[Cong],
Wu, J.X.[Jia-Xiang],
Cheng, J.[Jian],
Bai, X.[Xiao],
Lu, H.Q.[Han-Qing],
Online sketching hashing,
CVPR15(2503-2511)
IEEE DOI
1510
BibRef
Matsui, Y.[Yusuke],
Aizawa, K.[Kiyoharu],
Jing, Y.S.[Yu-Shi],
Sketch2Manga: Sketch-based manga retrieval,
ICIP14(3097-3101)
IEEE DOI
1502
Feature extraction
BibRef
Saavedra, J.M.[Jose M.],
Barrios, J.M.[Juan Manuel],
Sketch based Image Retrieval using Learned KeyShapes (LKS),
BMVC15(xx-yy).
DOI Link
1601
BibRef
Saavedra, J.M.[Jose M.],
Sketch based image retrieval using a soft computation of the
histogram of edge local orientations (S-HELO),
ICIP14(2998-3002)
IEEE DOI
1502
Computer vision
BibRef
Wen, Y.[Yafei],
Zou, C.Q.[Chang-Qing],
Liu, J.Z.[Jian-Zhuang],
Du, S.[Shuze],
Chen, S.F.[Shi-Feng],
Sketch-Based 3D Model Retrieval via Multi-feature Fusion,
ICPR14(4570-4575)
IEEE DOI
1412
Computational modeling
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Brun, L.[Luc],
Saggese, A.[Alessia],
Vento, M.[Mario],
A reliable string kernel based approach for solving queries by sketch,
AVSS14(393-398)
IEEE DOI
1411
Buildings
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Li, Y.[Yi],
Hospedales, T.M.[Tim M.],
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Intra-category sketch-based image retrieval by matching deformable part
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BMVC14(xx-yy).
HTML Version.
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Parui, S.[Sarthak],
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Similarity-Invariant Sketch-Based Image Retrieval in Large Databases,
ECCV14(VI: 398-414).
Springer DOI
1408
BibRef
Kawamura, S.[Shun],
Usui, K.[Kazuya],
Furuya, T.[Takahiko],
Ohbuchi, R.[Ryutarou],
Local Goemetrical Feature With Spatial Context For
Shape-Based 3d Model Retrieval,
3DOR12(55-58)
DOI Link
1301
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Chatbri, H.,
Kameyama, K.,
Kwan, P.,
Sketch-Based Image Retrieval by Size-Adaptive and Noise-Robust
Feature Description,
DICTA13(1-8)
IEEE DOI
1412
feature extraction
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Lin, Y.L.[Yen-Liang],
Huang, C.Y.[Cheng-Yu],
Wang, H.J.[Hao-Jeng],
Hsu, W.[Winston],
3D Sub-query Expansion for Improving Sketch-Based Multi-view Image
Retrieval,
ICCV13(3495-3502)
IEEE DOI
1403
BibRef
Li, Y.[Yi],
Song, Y.Z.[Yi-Zhe],
Gong, S.G.[Shao-Gang],
Sketch Recognition by Ensemble Matching of Structured Features,
BMVC13(xx-yy).
DOI Link
1412
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Lu, X.L.[Xian-Long],
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Online video object classification using fast similarity network
fusion,
VCIP14(346-349)
IEEE DOI
1504
computerised monitoring
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Avola, D.[Danilo],
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Placidi, G.[Giuseppe],
SketchSPORE: A Sketch Based Domain Separation and Recognition System
for Interactive Interfaces,
CIAP13(II:181-190).
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1309
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A sketch-based 3D model retrieval system,
ICPR12(601-604).
WWW Link.
1302
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Query-by-sketch based image retrieval using diffusion tensor fields,
IPTA10(343-348).
IEEE DOI
1007
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Yoon, S.M.[Sang Min],
Kuijper, A.[Arjan],
3D Model Retrieval Using the Histogram of Orientation of Suggestive
Contours,
ISVC11(II: 367-376).
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1109
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Bernas, M.[Marcin],
The Colour Sketch Recognition Interface for Training Systems,
ICCVG10(I: 217-224).
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1009
Analysis of the sketch used for training.
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Yun, K.[Kiwon],
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Shape Representation Robust to the Sketching Order Using Distance Map
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SSPR08(421-430).
Springer DOI
0812
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Liu, R.J.[Ru-Jie],
Baba, T.[Takayuki],
Uehara, Y.[Yusuke],
Masumoto, D.[Daiki],
Nagata, S.[Shigemi],
Device parts retrieval from assembly drawings with SVM based active
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CIVR07(379-386).
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Efficient Spatial Queries with Sketches,
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Exemplar Based Recognition of Visual Shapes,
SCIA05(852-861).
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0506
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Earlier:
End-Stop Exemplar Based Recognition,
SCIA03(43-50).
Springer DOI
0310
Attributes describe the statistics of lines and edges local to the
interest point, the position of neighboring interest points.
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Chalechale, A.[Abdolah],
Naghdy, G.[Golshah],
Premaratne, P.[Prashan],
Image database retrieval using sketched queries,
ICIP04(I: 433-436).
IEEE DOI
0505
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And:
Sketch-Based Shape Retrieval Using Length and Curvature of 2D Digital
Contours,
IWCIA04(474-487).
Springer DOI
0505
BibRef
Namboodiri, A.M.,
Jain, A.K.,
Retrieval of on-line hand-drawn sketches,
ICPR04(II: 642-645).
IEEE DOI
0409
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Gregory, L.,
Kittler, J.V.,
Using a pictorial dictionary as a high level user interface for visual
information retrieval,
ICIP03(II: 519-522).
IEEE DOI
0312
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Chang, S.F.[Shih-Fu],
Image Retrieval with Sketches and Compositions,
ICME00(TA4).
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Image database retrieval of rotated objects by user sketch,
CBAIVL98(40-44).
IEEE Top Reference.
0208
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Wakimoto, K.,
Shima, M.,
Tanaka, S.,
Maeda, A.,
An intelligent user interface to an image database using a figure
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ICPR90(II: 516-520).
IEEE DOI
9008
BibRef
Chapter on Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection continues in
User Interaction, Relevance Feedback, External Information .