7.1.7.3 Object Localization

Chapter Contents (Back)
Object Localization. Localization.
See also Instance Segmentation.
See also Dense Object Detection.

Caucci, L.[Luca], Barrett, H.H.[Harrison H.], Devaney, N.[Nicholas], Rodríguez, J.J.[Jeffrey J.],
Application of the Hotelling and ideal observers to detection and localization of exoplanets,
JOSA-A(24), No. 12, December 2007, pp. B13-B24.
WWW Link. 0801
Object detection. Planets. BibRef

Lampert, C.H.[Christoph H.], Blaschko, M.B.[Matthew B.], Hofmann, T.[Thomas],
Efficient Subwindow Search: A Branch and Bound Framework for Object Localization,
PAMI(31), No. 12, December 2009, pp. 2129-2142.
IEEE DOI 0911
BibRef
Earlier:
Beyond sliding windows: Object localization by efficient subwindow search,
CVPR08(1-8).
IEEE DOI 0806
Award, CVPR. Efficient search for existence of object. BibRef

Blaschko, M.B.[Matthew B.],
Branch and Bound Strategies for Non-maximal Suppression in Object Detection,
EMMCVPR11(385-398).
Springer DOI 1107
BibRef

Lampert, C.H.[Christoph H.],
An efficient divide-and-conquer cascade for nonlinear object detection,
CVPR10(1022-1029).
IEEE DOI 1006
BibRef
Earlier:
Detecting objects in large image collections and videos by efficient subimage retrieval,
ICCV09(987-994).
IEEE DOI 0909
BibRef

Blaschko, M.B.[Matthew B.], Lampert, C.H.[Christoph H.],
Object Localization with Global and Local Context Kernels,
BMVC09(xx-yy).
PDF File. 0909
BibRef
Earlier:
Learning to Localize Objects with Structured Output Regression,
ECCV08(I: 2-15).
Springer DOI 0810
BibRef

Shi, Z.Y.[Zhi-Yuan], Hospedales, T.M.[Timothy M.], Xiang, T.[Tao],
Bayesian Joint Modelling for Object Localisation in Weakly Labelled Images,
PAMI(37), No. 10, October 2015, pp. 1959-1972.
IEEE DOI 1509
BibRef
Earlier:
Bayesian Joint Topic Modelling for Weakly Supervised Object Localisation,
ICCV13(2984-2991)
IEEE DOI 1403
Bayesian; Joint Topic Modelling; Weakly Supervised Adaptation models BibRef

Shi, Z.Y.[Zhi-Yuan], Yang, Y.X.[Yong-Xin], Hospedales, T.M.[Timothy M.], Xiang, T.[Tao],
Weakly-Supervised Image Annotation and Segmentation with Objects and Attributes,
PAMI(39), No. 12, December 2017, pp. 2525-2538.
IEEE DOI 1711
BibRef
Earlier:
Weakly Supervised Learning of Objects, Attributes and Their Associations,
ECCV14(II: 472-487).
Springer DOI 1408
Correlation, Detectors, Semantics, Indian buffet process, Weakly supervised learning, non-parametric Bayesian model. Finding bounding box. BibRef

Halawani, A.[Alaa], Li, H.B.[Hai-Bo],
100 lines of code for shape-based object localization,
PR(60), No. 1, 2016, pp. 458-472.
Elsevier DOI 1609
Code, Object Detection. Object detection BibRef

Wang, L.T.[Lian-Tao], Lu, J.F.[Jian-Feng], Li, X.Y.[Xiang-Yu], Huan, Z.[Zhan], Liang, J.Z.[Jiu-Zhen], Chen, S.Y.[Shu-Yue],
Learning arbitrary-shape object detector from bounding-box annotation by searching region-graph,
PRL(87), No. 1, 2017, pp. 171-176.
Elsevier DOI 1703
Object localization BibRef

Feng, Y.J.[You-Ji], Wu, Y.H.[Yi-Hong], Fan, L.X.[Li-Xin],
Real-time SLAM relocalization with online learning of binary feature indexing,
MVA(28), No. 8, November 2017, pp. 953-963.
WWW Link. 1710
BibRef
Earlier:
Online Learning of Binary Feature Indexing for Real-Time SLAM Relocalization,
BD3DCV14(206-217).
Springer DOI 1504
BibRef

Wu, S.K.[Sheng-Kai], Li, X.P.[Xiao-Ping], Wang, X.G.[Xing-Gang],
IoU-aware single-stage object detector for accurate localization,
IVC(97), 2020, pp. 103911.
Elsevier DOI 2005
IoU prediction, IoU-aware detector, Accurate localization, Single-stage object detector BibRef

Gou, L.J.[Li-Jun], Wu, S.K.[Sheng-Kai], Yang, J.R.[Jin-Rong], Yu, H.[Hangcheng], Li, X.P.[Xiao-Ping],
Gaussian guided IoU: A better metric for balanced learning on object detection,
IET-CV(16), No. 6, 2022, pp. 556-566.
DOI Link 2208
BibRef

Hu, Y.Z.[Yan-Zhu], Zhu, D.D.[Dong-Dong], Ai, X.B.[Xin-Bo], Xu, Y.[Yabo],
Category-wise feature extractor based on ADL method for weak-supervised object localisation,
IET-IPR(14), No. 15, 15 December 2020, pp. 3965-3974.
DOI Link 2103
BibRef

Peng, H.Y.[Han-Yang], Yu, S.Q.[Shi-Qi],
A Systematic IoU-Related Method: Beyond Simplified Regression for Better Localization,
IP(30), 2021, pp. 5032-5044.
IEEE DOI 2106
Standards, Detectors, Location awareness, Computer architecture, Measurement, Systematics, Object detection, Object detection, optimization BibRef

Wang, B.[Bo], Yuan, C.F.[Chun-Feng], Li, B.[Bing], Ding, X.M.[Xin-Miao], Li, Z.Y.[Ze-Ya], Wu, Y.[Ying], Hu, W.M.[Wei-Ming],
Multi-Scale Low-Discriminative Feature Reactivation for Weakly Supervised Object Localization,
IP(30), 2021, pp. 6050-6065.
IEEE DOI 2107
Location awareness, Neurons, Task analysis, Pattern recognition, Automation, Search problems, Proposals, multi-scale class activation mapping BibRef

Yang, L.[Li], Xu, Y.[Yan], Wang, S.[Shaoru], Yuan, C.F.[Chun-Feng], Zhang, Z.Q.[Zi-Qi], Li, B.[Bing], Hu, W.M.[Wei-Ming],
PDNet: Toward Better One-Stage Object Detection With Prediction Decoupling,
IP(31), 2022, pp. 5121-5133.
IEEE DOI 2208
Location awareness, Detectors, Feature extraction, Semantics, Proposals, Head, Pattern recognition, Object detection, convolutional neural network BibRef

Benassou, S.N.[Sabrina Narimene], Shi, W.[Wuzhen], Jiang, F.[Feng], Benzine, A.[Abdallah],
Hierarchical complementary learning for weakly supervised object localization,
SP:IC(100), 2022, pp. 116520.
Elsevier DOI 2112
Weakly supervised object localization, Class activation map, Complementary map, Fusion strategy BibRef

Wang, X.L.[Xiao-Lian], Hu, X.[Xiyuan], Chen, C.[Chen], Peng, S.[Silong],
Regularizing deep networks with label geometry for accurate object localization on small training datasets,
PRL(154), 2022, pp. 53-59.
Elsevier DOI 2202
Object detection, Object localization, Label geometry, Box evolution, Small dataset, Human-machine interaction BibRef

Piao, Z.Q.[Zheng-Quan], Wang, J.[Junbo], Tang, L.[Linbo], Zhao, B.J.[Bao-Jun], Wang, W.Z.[Wen-Zheng],
AccLoc: Anchor-Free and two-stage detector for accurate object localization,
PR(126), 2022, pp. 108523.
Elsevier DOI 2204
Object detection, Accurate localization, Anchor-free, NMS-free, Two-stage BibRef

Santiago, C.[Carlos], Medley, D.O.[Daniela O.], Marques, J.S.[Jorge S.], Nascimento, J.C.[Jacinto C.],
Model-Agnostic Temporal Regularizer for Object Localization Using Motion Fields,
IP(31), 2022, pp. 2478-2487.
IEEE DOI 2204
Location awareness, Tracking, Trajectory, Predictive models, Computational modeling, Estimation, Motion segmentation, temporal regularization BibRef

Panwar, K.[Kuntal], Babu, P.[Prabhu], Stoica, P.[Petre],
Maximum Likelihood Algorithm for Time-Delay Based Multistatic Target Localization,
SPLetters(29), 2022, pp. 847-851.
IEEE DOI 2204
Location awareness, Signal processing algorithms, Receivers, Noise measurement, Maximum likelihood estimation, Transmitters, majorization-minimization BibRef

Hui, W.J.[Wen-Jun], Tan, C.C.[Chuang-Chuang], Gu, G.H.[Guang-Hua], Zhao, Y.[Yao],
Gradient-based refined class activation map for weakly supervised object localization,
PR(128), 2022, pp. 108664.
Elsevier DOI 2205
Weakly supervised object localization, Gradients of loss function, Class-specific mask, Category consistency BibRef

Zhang, D.W.[Ding-Wen], Han, J.W.[Jun-Wei], Cheng, G.[Gong], Yang, M.H.[Ming-Hsuan],
Weakly Supervised Object Localization and Detection: A Survey,
PAMI(44), No. 9, September 2022, pp. 5866-5885.
IEEE DOI 2208
Location awareness, Annotations, Training, Task analysis, Detectors, Supervised learning, Weakly supervised learning, object detection BibRef

Wang, D.[Dong], Shang, K.[Kun], Wu, H.[Huaming], Wang, C.[Ce],
Decoupled R-CNN: Sensitivity-Specific Detector for Higher Accurate Localization,
CirSysVideo(32), No. 9, September 2022, pp. 6324-6336.
IEEE DOI 2209
Proposals, Detectors, Task analysis, Sensitivity, Object detection, Training, Feature extraction, Object detection, R-CNN, decoupled R-CNN BibRef

Xie, N.[Ningbo], Ouyang, S.[Shan], Liao, K.[Kefei], Wang, H.T.[Hai-Tao], Jiang, J.Z.[Jun-Zheng],
Near-Field Multiple Target Localization in Frequency Diverse Array Based on Tensor Decomposition,
RS(14), No. 17, 2022, pp. xx-yy.
DOI Link 2209
BibRef


Giuliari, F.[Francesco], Skenderi, G.[Geri], Cristani, M.[Marco], Wang, Y.M.[Yi-Ming], del Bue, A.[Alessio],
Spatial Commonsense Graph for Object Localisation in Partial Scenes,
CVPR22(19496-19505)
IEEE DOI 2210
Codes, Urban areas, Benchmark testing, Graph neural networks, Pattern recognition, Scene analysis and understanding, Vision + X BibRef

Kim, E.[Eunji], Kim, S.[Siwon], Lee, J.[Jungbeom], Kim, H.W.[Hyun-Woo], Yoon, S.[Sungroh],
Bridging the Gap between Classification and Localization for Weakly Supervised Object Localization,
CVPR22(14238-14247)
IEEE DOI 2210
Location awareness, Bridges, Benchmark testing, Pattern recognition, Object recognition, Recognition: detection, Vision applications and systems BibRef

Xu, J.[Jilan], Hou, J.L.[Jun-Lin], Zhang, Y.[Yuejie], Feng, R.[Rui], Zhao, R.W.[Rui-Wei], Zhang, T.[Tao], Lu, X.Q.[Xue-Quan], Gao, S.[Shang],
CREAM: Weakly Supervised Object Localization via Class RE-Activation Mapping,
CVPR22(9427-9436)
IEEE DOI 2210
Location awareness, Training, Parameter estimation, Codes, Clustering algorithms, Benchmark testing, Recognition: detection, retrieval BibRef

Yu, X.H.[Xue-Hui], Chen, P.F.[Peng-Fei], Wu, D.[Di], Hassan, N.[Najmul], Li, G.R.[Guo-Rong], Yan, J.C.[Jun-Chi], Shi, H.[Humphrey], Ye, Q.X.[Qi-Xiang], Han, Z.J.[Zhen-Jun],
Object Localization under Single Coarse Point Supervision,
CVPR22(4858-4867)
IEEE DOI 2210
Location awareness, Training, Codes, Annotations, Semantics, Sensors, Recognition: detection, categorization, retrieval, Self- semi- meta- unsupervised learning BibRef

Zhu, L.[Lei], She, Q.[Qi], Chen, Q.[Qian], You, Y.F.[Yun-Fei], Wang, B.[Boyu], Lu, Y.[Yanye],
Weakly Supervised Object Localization as Domain Adaption,
CVPR22(14617-14626)
IEEE DOI 2210
Location awareness, Adaptation models, Codes, Shape, Pipelines, Benchmark testing, Self- semi- meta- Recognition: detection, Transfer/low-shot/long-tail learning BibRef

Gupta, S.[Saurav], Lakhotia, S.[Sourav], Rawat, A.[Abhay], Tallamraju, R.[Rahul],
ViTOL: Vision Transformer for Weakly Supervised Object Localization,
L3D-IVU22(4100-4109)
IEEE DOI 2210
Location awareness, Measurement, Visualization, Shape, Semantics, Computer architecture, Transformers BibRef

Feng, C.J.[Cheng-Jian], Zhong, Y.J.[Yu-Jie], Gao, Y.[Yu], Scott, M.R.[Matthew R.], Huang, W.L.[Wei-Lin],
TOOD: Task-aligned One-stage Object Detection,
ICCV21(3490-3499)
IEEE DOI 2203
Location awareness, Training, Measurement, Codes, Object detection, Detectors, Detection and localization in 2D and 3D, BibRef

Kim, J.[Jeesoo], Choe, J.[Junsuk], Yun, S.[Sangdoo], Kwak, N.[Nojun],
Normalization Matters in Weakly Supervised Object Localization,
ICCV21(3407-3416)
IEEE DOI 2203
Location awareness, Training, Annotations, Computer architecture, Performance gain, Solids, Efficient training and inference methods BibRef

Meng, M.[Meng], Zhang, T.Z.[Tian-Zhu], Tian, Q.[Qi], Zhang, Y.D.[Yong-Dong], Wu, F.[Feng],
Foreground Activation Maps for Weakly Supervised Object Localization,
ICCV21(3365-3375)
IEEE DOI 2203
Location awareness, Scalability, Computational modeling, Benchmark testing, Task analysis, Standards, Recognition and classification BibRef

Qiu, H.Q.[He-Qian], Li, H.L.[Hong-Liang], Wu, Q.B.[Qing-Bo], Cui, J.H.[Jian-Hua], Song, Z.C.[Zi-Chen], Wang, L.X.[Lan-Xiao], Zhang, M.J.[Min-Jian],
CrossDet: Crossline Representation for Object Detection,
ICCV21(3175-3184)
IEEE DOI 2203
Training, Location awareness, Codes, Object detection, Interference, Detectors, Detection and localization in 2D and 3D, Scene analysis and understanding BibRef

Gao, W.[Wei], Wan, F.[Fang], Pan, X.J.[Xing-Jia], Peng, Z.L.[Zhi-Liang], Tian, Q.[Qi], Han, Z.J.[Zhen-Jun], Zhou, B.[Bolei], Ye, Q.X.[Qi-Xiang],
TS-CAM: Token Semantic Coupled Attention Map for Weakly Supervised Object Localization,
ICCV21(2866-2875)
IEEE DOI 2203
Location awareness, Couplings, Visualization, Fuses, Convolution, Semantics, Transformers, Detection and localization in 2D and 3D, Recognition and classification BibRef

Ki, M.S.[Min-Song], Uh, Y.J.[Young-Jung], Choe, J.[Junsuk], Byun, H.R.[Hye-Ran],
Contrastive Attention Maps for Self-supervised Co-localization,
ICCV21(2783-2792)
IEEE DOI 2203
Training, Representation learning, Codes, Computational modeling, Aggregates, Dogs, Detection and localization in 2D and 3D, BibRef

Xie, J.H.[Jin-Heng], Luo, C.[Cheng], Zhu, X.P.[Xiang-Ping], Jin, Z.Q.[Zi-Qi], Lu, W.Z.[Wei-Zeng], Shen, L.L.[Lin-Lin],
Online Refinement of Low-level Feature Based Activation Map for Weakly Supervised Object Localization,
ICCV21(132-141)
IEEE DOI 2203
Location awareness, Uncertainty, Codes, Drives, Generators, Entropy, Recognition and classification, Detection and localization in 2D and 3D BibRef

Park, S.[Sanghun], Kim, K.[Kunhee], Lee, E.[Eunseop], Kim, D.J.[Dai-Jin],
Localization Uncertainty-Based Attention for Object Detection,
ICIP21(2224-2228)
IEEE DOI 2201
Location awareness, Uncertainty, Detectors, Object detection, Predictive models, Benchmark testing, Object detection, Uncertainty attention module BibRef

Roh, B.[Byungseok], Shin, W.[Wuhyun], Kim, I.[Ildoo], Kim, S.[Sungwoong],
Spatially Consistent Representation Learning,
CVPR21(1144-1153)
IEEE DOI 2111

WWW Link. Code, Classification. Location awareness, Learning systems, Image segmentation, Codes, Object detection, Benchmark testing BibRef

Pan, X.J.[Xing-Jia], Gao, Y.G.[Ying-Guo], Lin, Z.W.[Zhi-Wen], Tang, F.[Fan], Dong, W.M.[Wei-Ming], Yuan, H.[Haolei], Huang, F.Y.[Fei-Yue], Xu, C.S.[Chang-Sheng],
Unveiling the Potential of Structure Preserving for Weakly Supervised Object Localization,
CVPR21(11637-11646)
IEEE DOI 2111
Location awareness, Convolutional codes, Correlation, Aggregates, Random access memory, Benchmark testing BibRef

Wei, J.[Jun], Wang, Q.[Qin], Li, Z.[Zhen], Wang, S.[Sheng], Zhou, S.K.[S. Kevin], Cui, S.G.[Shu-Guang],
Shallow Feature Matters for Weakly Supervised Object Localization,
CVPR21(5989-5997)
IEEE DOI 2111
Location awareness, Image segmentation, Image color analysis, Object detection, Interference, Predictive models, Feature extraction BibRef

Huang, Z.Y.[Zhao-Yang], Zhou, H.[Han], Li, Y.J.[Yi-Jin], Yang, B.B.[Bang-Bang], Xu, Y.[Yan], Zhou, X.W.[Xiao-Wei], Bao, H.J.[Hu-Jun], Zhang, G.F.[Guo-Feng], Li, H.S.[Hong-Sheng],
VS-Net: Voting with Segmentation for Visual Localization,
CVPR21(6097-6107)
IEEE DOI 2111
Location awareness, Training, Visualization, Image segmentation, Robot kinematics BibRef

Guo, G.Y.[Guang-Yu], Han, J.W.[Jun-Wei], Wan, F.[Fang], Zhang, D.W.[Ding-Wen],
Strengthen Learning Tolerance for Weakly Supervised Object Localization,
CVPR21(7399-7408)
IEEE DOI 2111
Location awareness, Visualization, Computational modeling, Semantics, Robustness, Pattern recognition BibRef

Banik, S.[Soubarna], Lauri, M.[Mikko], Knoll, A.[Alois], Frintrop, S.[Simone],
Object Localization with Attribute Preference Based on Top-Down Attention,
CVS21(28-40).
Springer DOI 2109
BibRef

Kou, Z.Y.[Zi-Yi], Cui, G.F.[Guo-Feng], Wang, S.J.[Shao-Jie], Zhao, W.T.[Wen-Tian], Xu, C.L.[Chen-Liang],
Improve CAM with Auto-Adapted Segmentation and Co-Supervised Augmentation,
WACV21(3597-3605)
IEEE DOI 2106
CAM: Class Activation Map. Location awareness, Measurement, Image segmentation, Computational modeling, Benchmark testing BibRef

Zheng, Z.H.[Zhao-Heng], Sadhu, A.[Arka], Nevatia, R.[Ram],
Improving Object Detection and Attribute Recognition By Feature Entanglement Reduction,
ICIP21(2214-2218)
IEEE DOI 2201
Visualization, Head, Image color analysis, Computational modeling, Pipelines, Genomics, Object detection, Object Detection, Attribute Recognition BibRef

Babar, S.[Sadbhavana], Das, S.[Sukhendu],
Where to Look?: Mining Complementary Image Regions for Weakly Supervised Object Localization,
WACV21(1009-1018)
IEEE DOI 2106
Location awareness, Training, Visualization, Adaptation models, Fuses, Conferences BibRef

Zhang, Z.F.[Zhen-Fei], Bui, T.D.[Tien D.],
Attention-based Selection Strategy for Weakly Supervised Object Localization,
ICPR21(10305-10311)
IEEE DOI 2105
Location awareness, Training, Image recognition, Design methodology, Pattern recognition, Task analysis, attention-based selection strategy BibRef

Meethal, A.[Akhil], Pedersoli, M.[Marco], Belharbi, S.[Soufiane], Granger, E.[Eric],
Convolutional STN for Weakly Supervised Object Localization,
ICPR21(10157-10164)
IEEE DOI 2105
Location awareness, Training, Object detection, Benchmark testing, Recycling, Pattern recognition, Task analysis BibRef

Bojko, A.[Adrian], Dupont, R.[Romain], Tamaazousti, M.[Mohamed], Le Borgne, H.[Hervé],
Learning to Segment Dynamic Objects using SLAM Outliers,
ICPR21(9780-9787)
IEEE DOI 2105
Measurement, Training, Simultaneous localization and mapping, Runtime, Motion estimation, Dynamics, Semantics BibRef

Vanderschueren, A.[Antoine], Joos, V.[Victor], de Vleeschouwer, C.[Christophe],
Mutual Use of Semantics and Geometry for CNN-based Object Localization in Tof Images,
CARE20(202-217).
Springer DOI 2103
BibRef

Ki, M.S.[Min-Song], Uh, Y.J.[Young-Jung], Lee, W.[Wonyoung], Byun, H.R.[Hye-Ran],
In-sample Contrastive Learning and Consistent Attention for Weakly Supervised Object Localization,
ACCV20(IV:3-18).
Springer DOI 2103
BibRef

Zhang, H.[Heng], Fromont, E.[Elisa], Lefevre, S.[Sébastien], Avignon, B.[Bruno],
Localize to Classify and Classify to Localize: Mutual Guidance in Object Detection,
ACCV20(IV:104-118).
Springer DOI 2103
BibRef

Bae, W.[Wonho], Noh, J.[Junhyug], Kim, G.[Gunhee],
Rethinking Class Activation Mapping for Weakly Supervised Object Localization,
ECCV20(XV:618-634).
Springer DOI 2011
BibRef

Lu, W.Z.[Wei-Zeng], Jia, X.[Xi], Xie, W.C.[Wei-Cheng], Shen, L.L.[Lin-Lin], Zhou, Y.C.[Yi-Cong], Duan, J.M.[Jin-Ming],
Geometry Constrained Weakly Supervised Object Localization,
ECCV20(XXVI:481-496).
Springer DOI 2011
BibRef

Wu, Y., Chen, Y., Yuan, L., Liu, Z., Wang, L., Li, H., Fu, Y.,
Rethinking Classification and Localization for Object Detection,
CVPR20(10183-10192)
IEEE DOI 2008
Proposals, Correlation, Task analysis, Convolution, Feature extraction, Detectors, Robustness BibRef

Spencer, J., Bowden, R., Hadfield, S.,
Same Features, Different Day: Weakly Supervised Feature Learning for Seasonal Invariance,
CVPR20(6458-6467)
IEEE DOI 2008
Training, Measurement, Machine learning, Feature extraction, Simultaneous localization and mapping, Task analysis BibRef

Mai, J., Yang, M., Luo, W.,
Erasing Integrated Learning: A Simple Yet Effective Approach for Weakly Supervised Object Localization,
CVPR20(8763-8772)
IEEE DOI 2008
Training, Visualization, Classification algorithms, Supervised learning, Task analysis, Semantics BibRef

Strecke, M., Stückler, J.,
Where Does It End?: Reasoning About Hidden Surfaces by Object Intersection Constraints,
CVPR20(9589-9597)
IEEE DOI 2008
Surface reconstruction, Shape, Image reconstruction, Simultaneous localization and mapping, Minimization BibRef

Cai, M., Reid, I.D.,
Reconstruct Locally, Localize Globally: A Model Free Method for Object Pose Estimation,
CVPR20(3150-3160)
IEEE DOI 2008
Solid modeling, Head, Pose estimation, Image reconstruction, Cameras BibRef

Choe, J.[Junsuk], Oh, S.J.[Seong Joon], Lee, S.[Seungho], Chun, S.[Sanghyuk], Akata, Z.[Zeynep], Shim, H.J.[Hyun-Jung],
Evaluating Weakly Supervised Object Localization Methods Right,
CVPR20(3130-3139)
IEEE DOI 2008
Task analysis, Protocols, Measurement, Training, Benchmark testing, Predictive models BibRef

Zhao, Y., Li, J., Zhang, Y., Tian, Y.,
Multi-Class Part Parsing With Joint Boundary-Semantic Awareness,
ICCV19(9176-9185)
IEEE DOI 2004
feature selection, image segmentation, object detection, accurate part localization, high-level feature fusion, Decoding BibRef

Visser, J., Corbetta, A., Menkovski, V., Toschi, F.,
Stampnet: Unsupervised Multi-Class Object Discovery,
ICIP19(2951-2955)
IEEE DOI 1910
object discovery, unsupervised learning, image localization, image clustering BibRef

Kim, J.U., Park, S., Ro, Y.M.,
Towards Human-Like Interpretable Object Detection Via Spatial Relation Encoding,
ICIP20(3284-3288)
IEEE DOI 2011
Visualization, Feature extraction, Detectors, Cognition, Object detection, Birds, Visual interpretation, human-like BibRef

Kim, J.U., Ro, Y.M.[Y. Man],
Attentive Layer Separation for Object Classification and Object Localization in Object Detection,
ICIP19(3995-3999)
IEEE DOI 1910
Object detection, Attention network, Object classification, Object localization, Layer separation BibRef

Kao, C.C.[Chieh-Chi], Lee, T.Y.[Teng-Yok], Sen, P.[Pradeep], Liu, M.Y.[Ming-Yu],
Localization-Aware Active Learning for Object Detection,
ACCV18(VI:506-522).
Springer DOI 1906
BibRef

Jiang, B.R.[Bo-Rui], Luo, R.X.[Rui-Xuan], Mao, J.Y.[Jia-Yuan], Xiao, T.[Tete], Jiang, Y.N.[Yu-Ning],
Acquisition of Localization Confidence for Accurate Object Detection,
ECCV18(XIV: 816-832).
Springer DOI 1810
BibRef

Li, H., Liu, Y., Zhang, X., An, Z., Wang, J., Chen, Y., Tong, J.,
Do we really need more training data for object localization,
ICIP17(775-779)
IEEE DOI 1803
Feature extraction, Image resolution, Machine learning, Proposals, Semantics, Training, Training data, Deep learning, object localization BibRef

Lu, Y.[Ya], Zhao, J.[Ji], Ma, J.Y.[Jia-Yi],
Object localization by density-based spatial clustering,
VCIP16(1-4)
IEEE DOI 1701
Clustering algorithms BibRef

Lu, C.[Cewu], Lu, Y.Y.[Yong-Yi], Chen, H.[Hao], Tang, C.K.[Chi-Keung],
Square Localization for Efficient and Accurate Object Detection,
ICCV15(2560-2568)
IEEE DOI 1602
Find square objects. BibRef

Long, C.J.[Cheng-Jiang], Wang, X.Y.[Xiao-Yu], Hua, G.[Gang], Yang, M.[Ming], Lin, Y.Q.[Yuan-Qing],
Accurate Object Detection with Location Relaxation and Regionlets Re-localization,
ACCV14(I: 260-275).
Springer DOI 1504
BibRef

Bilen, H.[Hakan], Pedersoli, M.[Marco], Tuytelaars, T.[Tinne],
Weakly supervised object detection with convex clustering,
CVPR15(1081-1089)
IEEE DOI 1510
BibRef
Earlier:
Weakly Supervised Detection with Posterior Regularization,
BMVC14(xx-yy).
HTML Version. 1410
object localization BibRef

Shi, M.J.[Miao-Jing], Caesar, H., Ferrari, V.[Vittorio],
Weakly Supervised Object Localization Using Things and Stuff Transfer,
ICCV17(3401-3410)
IEEE DOI 1802
image classification, image representation, image segmentation, learning (artificial intelligence), object detection, Training BibRef

Shi, M.J.[Miao-Jing], Ferrari, V.[Vittorio],
Weakly Supervised Object Localization Using Size Estimates,
ECCV16(V: 105-121).
Springer DOI 1611
BibRef

Zhang, Z.Q.[Zhi-Qi], Cao, Y.[Yu], Salvi, D.[Dhaval], Oliver, K.[Kenton], Waggoner, J.W.[Jarrell W.], Wang, S.[Song],
Free-shape subwindow search for object localization,
CVPR10(1086-1093).
IEEE DOI 1006
BibRef

Yang, Y.C.[Yan-Chao], Lai, B.[Brian], Soatto, S.[Stefano],
DyStaB: Unsupervised Object Segmentation via Dynamic-Static Bootstrapping*,
CVPR21(2825-2835)
IEEE DOI 2111
Training, Image segmentation, Motion segmentation, Computational modeling, Object segmentation, Object detection, Turning BibRef

Fulkerson, B.[Brian], Vedaldi, A.[Andrea], Soatto, S.[Stefano],
Class Segmentation and Object Localization with Superpixel Neighborhoods,
ICCV09(670-677).
IEEE DOI 0909
BibRef
Earlier:
Localizing Objects with Smart Dictionaries,
ECCV08(I: 179-192).
Springer DOI 0810
Category and location of objects. First pixel classification with reduced dictionary. Combined results. BibRef

Chapter on 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture continues in
One-Shot Object Detection, Single Shot Detector, and Segmentation .


Last update:Nov 2, 2022 at 12:00:26