7.1.7.1 Instance of Particular Object, Specified Object

Chapter Contents (Back)
Instance Detection. Specific Objects. See also Region of Interest Detection, ROI.

Hsiao, E.[Edward], Hebert, M.[Martial],
Occlusion Reasoning for Object Detection Under Arbitrary Viewpoint,
PAMI(36), No. 9, September 2014, pp. 1803-1815.
IEEE DOI 1408
BibRef
Earlier: CVPR12(3146-3153).
IEEE DOI 1208
BibRef
And:
Coherent Occlusion Reasoning for Instance Recognition,
ACPR13(1-5)
IEEE DOI 1408
Approximation methods. image classification BibRef

Oramas Mogrovejo, J.A.[JosÚ Antonio], Tuytelaars, T.[Tinne],
Recovering hard-to-find object instances by sampling context-based object proposals,
CVIU(152), No. 1, 2016, pp. 118-130.
Elsevier DOI 1609
Object detection BibRef

Cinbis, R.G.[Ramazan Gokberk], Verbeek, J.[Jakob], Schmid, C.[Cordelia],
Weakly Supervised Object Localization with Multi-Fold Multiple Instance Learning,
PAMI(39), No. 1, January 2017, pp. 189-203.
IEEE DOI 1612
BibRef
Earlier:
Multi-fold MIL Training for Weakly Supervised Object Localization,
CVPR14(2409-2416)
IEEE DOI 1409
BibRef
Earlier:
Segmentation Driven Object Detection with Fisher Vectors,
ICCV13(2968-2975)
IEEE DOI 1403
Computational efficiency. object detection; object localization; weakly supervised training. fisher vectors; object detection See also Action and Event Recognition with Fisher Vectors on a Compact Feature Set. BibRef

Rodrigues, E.O.[Erick O.], Liatsis, P.[Panos], Satoru, L.[Luiz], Conci, A.[Aura],
Fractal triangular search: a metaheuristic for image content search,
IET-IPR(12), No. 8, August 2018, pp. 1475-1484.
DOI Link 1808
Search for specific content in images. BibRef

Wei, X.S.[Xiu-Shen], Zhang, C.L.[Chen-Lin], Wu, J.X.[Jian-Xin], Shen, C.H.[Chun-Hua], Zhou, Z.H.[Zhi-Hua],
Unsupervised object discovery and co-localization by deep descriptor transformation,
PR(88), 2019, pp. 113-126.
Elsevier DOI 1901
Unsupervised object discovery, Object co-localization, Deep descriptor transformation, Pre-trained CNN models BibRef

Cejka, J.[Jan], Bruno, F.[Fabio], Skarlatos, D.[Dimitrios], Liarokapis, F.[Fotis],
Detecting Square Markers in Underwater Environments,
RS(11), No. 4, 2019, pp. xx-yy.
DOI Link 1903
BibRef

Rahnemoonfar, M.[Maryam], Dobbs, D.[Dugan], Yari, M.[Masoud], Starek, M.J.[Michael J.],
DisCountNet: Discriminating and Counting Network for Real-Time Counting and Localization of Sparse Objects in High-Resolution UAV Imagery,
RS(11), No. 9, 2019, pp. xx-yy.
DOI Link 1905
Detect and count. BibRef

Wang, R.[Rui], Liang, Y.[Ying], Xu, J.W.[Jing Wen], He, Z.H.[Zhi Hai],
Cascading classifier with discriminative multi-features for a specific 3D object real-time detection,
VC(35), No. 3, March 2019, pp. 399-414.
Springer DOI 1906
Specific 3D object detection for service robots. BibRef

Chen, Z.C.[Zheng-Chao], Lu, K.X.[Kai-Xuan], Gao, L.R.[Lian-Ru], Li, B.P.[Bai-Peng], Gao, J.W.[Jian-Wei], Yang, X.[Xuan], Yao, M.F.[Mu-Feng], Zhang, B.[Bing],
Automatic Detection of Track and Fields in China from High-Resolution Satellite Images Using Multi-Scale-Fused Single Shot MultiBox Detector,
RS(11), No. 11, 2019, pp. xx-yy.
DOI Link 1906
Complex, varied structures. BibRef


Lu, E.[Erika], Xie, W.[Weidi], Zisserman, A.[Andrew],
Class-Agnostic Counting,
ACCV18(III:669-684).
Springer DOI 1906
BibRef

Atoum, Y., Roth, J., Bliss, M., Zhang, W., Liu, X.,
Monocular Video-Based Trailer Coupler Detection Using Multiplexer Convolutional Neural Network,
ICCV17(5478-5486)
IEEE DOI 1802
cameras, convolution, intelligent transportation systems, neural nets, BibRef

Biparva, M., Tsotsos, J.K.[John K.],
STNet: Selective Tuning of Convolutional Networks for Object Localization,
CogCV17(2715-2723)
IEEE DOI 1802
Biological system modeling, Computational modeling, Streaming media, Visualization BibRef

Jamalian, A., Bergelt, J., Dinkelbach, H.▄.,
Spatial Attention Improves Object Localization: A Biologically Plausible Neuro-Computational Model for Use in Virtual Reality,
CogCV17(2724-2729)
IEEE DOI 1802
Brain modeling, Lips, Neurons, Search problems, Solid modeling, Visualization BibRef

Wang, B.[Bo], Shao, J.[Jie], He, C.[Chengkun], Hu, G.[Gang], Xu, X.[Xing],
Spatial Verification via Compact Words for Mobile Instance Search,
MMMod17(II: 356-367).
Springer DOI 1701
specific instance (object, person, or location). BibRef

Lokoc, J.[Jakub], Kubon, D.[David], Bla×ek, A.[Adam],
A Comparative Study for Known Item Visual Search Using Position Color Feature Signatures,
MMMod17(II: 3-14).
Springer DOI 1701
BibRef

Huberman, I.[Inbar], Fattal, R.[Raanan],
Detecting Repeating Objects Using Patch Correlation Analysis,
CVPR16(2903-2911)
IEEE DOI 1612
Detect and count. BibRef

Yu, T., Wang, Z., Yuan, J.,
Compressive Quantization for Fast Object Instance Search in Videos,
ICCV17(726-735)
IEEE DOI 1802
Hamming codes, cryptography, feature extraction, image matching, object detection, optimisation, query processing, Videos BibRef

Yu, T., Wu, Y., Yuan, J.,
HOPE: Hierarchical Object Prototype Encoding for Efficient Object Instance Search in Videos,
CVPR17(3195-3204)
IEEE DOI 1711
Computational efficiency, Encoding, Proposals, Prototypes, Search problems, Videos, Visualization BibRef

Hayder, Z., He, X., Salzmann, M.,
Boundary-Aware Instance Segmentation,
CVPR17(587-595)
IEEE DOI 1711
Image segmentation, Proposals, Robustness, Semantics, Shape, Transforms BibRef

Li, G., Xie, Y., Lin, L., Yu, Y.,
Instance-Level Salient Object Segmentation,
CVPR17(247-256)
IEEE DOI 1711
Image segmentation, Neural networks, Object detection, Proposals, Semantics, Streaming, media BibRef

Dwibedi, D.[Debidatta], Misra, I.[Ishan], Hebert, M.[Martial],
Cut, Paste and Learn: Surprisingly Easy Synthesis for Instance Detection,
ICCV17(1310-1319)
IEEE DOI 1802
learning (artificial intelligence), object detection, annotated instance datasets, benchmark datasets, Visualization BibRef

Liu, S., Jia, J., Fidler, S., Urtasun, R.,
SGN: Sequential Grouping Networks for Instance Segmentation,
ICCV17(3516-3524)
IEEE DOI 1802
image segmentation, neural nets, object detection, PASCAL VOC, SGN, horizontal object breakpoints, line segments, Semantics BibRef

Liang, X.D.[Xiao-Dan], Wei, Y.C.[Yun-Chao], Shen, X.H.[Xiao-Hui], Jie, Z.Q.[Ze-Qun], Feng, J.S.[Jia-Shi], Lin, L.[Liang], Yan, S.C.[Shui-Cheng],
Reversible Recursive Instance-Level Object Segmentation,
CVPR16(633-641)
IEEE DOI 1612
BibRef

Batchelor, O.[Oliver], Green, R.[Richard],
The role of focus in object instance recognition,
ICVNZ16(1-5)
IEEE DOI 1701
Context. CNN analysis. Focus on the object of interest. BibRef

Nakano, H.[Hiroki], Mori, Y.[Yumi], Morita, C.[Chiaki], Nagai, S.[Shingo],
Large Scale Specific Object Recognition by Using GIFTS Image Feature,
CIAP15(II:36-45).
Springer DOI 1511
BibRef

Takauji, H.[Hidenori], Nakayama, I.[Io], Kaneko, S.[Shun'ichi], Tanaka, T.[Takayuki],
Autonomous and robust structuring of real environment by searching complex regions,
IEVM06(xx-yy).
PDF File. 0609
Find specific objects (tags) to use for scale in stereo analysis. BibRef

Chapter on 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture continues in
Fiducial Markers Design, Detection and Analysis .


Last update:Sep 9, 2019 at 16:26:55