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2208
Location awareness, Annotations, Training, Task analysis, Detectors,
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2209
Proposals, Detectors, Task analysis, Sensitivity, Object detection,
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2212
Location awareness, Transformers, Training, Robustness,
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2306
Location awareness, Task analysis, Transformers, Decoding,
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2301
Location awareness, Task analysis, Training, Protocols, Measurement,
Predictive models, Benchmark testing, Benchmark, dataset, evaluation,
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Convolutional neural network, Weakly supervised learning, Object localization
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2302
Weakly supervised object localization,
Weakly supervised object detection, Foreground learning
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IEEE DOI
2307
BibRef
Earlier:
Salvage of Supervision in Weakly Supervised Object Detection,
CVPR22(14207-14216)
IEEE DOI
2210
Object detection, Task analysis, Training, Annotations, Proposals,
Detectors, Semantic segmentation,
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Bridges, Visualization, Noise measurement, Recognition: detection,
Self- semi- meta- Vision applications and systems
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2303
Object detection, Classification ambiguity, Refinement-aware classification
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IEEE DOI
2303
Feature extraction, Semantics, Object detection, Proposals,
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2305
Deep learning, Weakly-supervised learning,
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Elsevier DOI
2306
Weakly-supervised learning, Object detection and localization,
Class activation map, Feature enhancement
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IEEE DOI
2306
Location awareness, Task analysis, Crosstalk, Feature extraction,
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IEEE DOI
2307
Location awareness, Object detection, Feature extraction,
Detectors, Training, Head, Knowledge engineering,
rotated object detection
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2304
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Wang, L.X.[Lian-Xing],
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Weakly Supervised Object Localization Using Long-Range Semantic
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ICPR22(4580-4586)
IEEE DOI
2212
Location awareness, Visualization, Correlation, Semantics,
Benchmark testing, Transformers
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2211
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Springer DOI
2211
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VizWiz-FewShot: Locating Objects in Images Taken by People with Visual
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2211
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ICIP22(1261-1265)
IEEE DOI
2211
Location awareness, Measurement uncertainty, Detectors,
object detection, IoU, human preference
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Springer DOI
2211
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Springer DOI
2211
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Springer DOI
2211
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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
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Kim, E.[Eunji],
Kim, S.[Siwon],
Lee, J.[Jungbeom],
Kim, H.W.[Hyun-Woo],
Yoon, S.[Sungroh],
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CVPR22(14238-14247)
IEEE DOI
2210
Location awareness, Bridges, Benchmark testing,
Pattern recognition, Object recognition, Recognition: detection,
Vision applications and systems
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Hou, J.L.[Jun-Lin],
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Lu, X.Q.[Xue-Quan],
Gao, S.[Shang],
CREAM: Weakly Supervised Object Localization via Class RE-Activation
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CVPR22(9427-9436)
IEEE DOI
2210
Location awareness, Training, Parameter estimation, Codes,
Clustering algorithms, Benchmark testing, Recognition: detection, retrieval
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Yu, X.H.[Xue-Hui],
Chen, P.F.[Peng-Fei],
Wu, D.[Di],
Hassan, N.[Najmul],
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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
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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
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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
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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
Hu, Y.C.T.[Yu-Chih-Tuan],
Chen, J.C.[Jun-Cheng],
Kung, B.H.[Bo-Han],
Hua, K.L.[Kai-Lung],
Tan, D.S.[Daniel Stanley],
Naturalistic Physical Adversarial Patch for Object Detectors,
ICCV21(7828-7837)
IEEE DOI
2203
Manifolds, Image synthesis, Computational modeling, Detectors,
Generative adversarial networks, Quality assessment,
Detection and localization in 2D and 3D
BibRef
Kalra, A.[Agastya],
Stoppi, G.[Guy],
Brown, B.[Bradley],
Agarwal, R.[Rishav],
Kadambi, A.[Achuta],
Towards Rotation Invariance in Object Detection,
ICCV21(3510-3520)
IEEE DOI
2203
Adaptation models, Uncertainty, Codes, Shape, Computational modeling,
Object detection, Detection and localization in 2D and 3D,
Datasets and evaluation
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Wang, K.[Keyang],
Zhang, L.[Lei],
Reconcile Prediction Consistency for Balanced Object Detection,
ICCV21(3611-3620)
IEEE DOI
2203
Location awareness, Training, Shape, Detectors, Object detection,
Benchmark testing, Detection and localization in 2D and 3D,
Recognition and classification
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Zhao, X.Y.[Xiang-Yun],
Zou, X.[Xu],
Wu, Y.[Ying],
Morphable Detector for Object Detection on Demand,
ICCV21(4751-4760)
IEEE DOI
2203
Training, Visualization, Embedded systems, Semantics, Prototypes,
Object detection, Vision applications and systems,
Detection and localization in 2D and 3D
BibRef
Meng, D.[Depu],
Chen, X.K.[Xiao-Kang],
Fan, Z.[Zejia],
Zeng, G.[Gang],
Li, H.Q.[Hou-Qiang],
Yuan, Y.H.[Yu-Hui],
Sun, L.[Lei],
Wang, J.D.[Jing-Dong],
Conditional DETR for Fast Training Convergence,
ICCV21(3631-3640)
IEEE DOI
2203
WWW Link. Encoder-decoder object detection.
Training, Codes, Pose estimation, Object detection, Transformers,
Decoding, Detection and localization in 2D and 3D,
Recognition and classification
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
Zhang, C.,
Cao, Y.,
Wu, J.,
Rethinking the Route Towards Weakly Supervised Object Localization,
CVPR20(13457-13466)
IEEE DOI
2008
Task analysis, Computational modeling, Pipelines, Detectors,
Training, Noise measurement
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 .