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Standards, Detectors, Location awareness,
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Weakly supervised object localization,
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2208
Location awareness, Annotations, Training, Task analysis, Detectors,
Supervised learning, Weakly supervised learning,
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2209
Proposals, Detectors, Task analysis, Sensitivity, Object detection,
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2411
Noise, Vectors, Object detection, Detectors,
Maximum likelihood estimation, Uncertainty, Sun,
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2212
Location awareness, Transformers, Training, Robustness,
Task analysis, Prototypes, Perturbation methods,
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2306
Location awareness, Task analysis, Transformers, Decoding,
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IEEE DOI
2301
Location awareness, Task analysis, Training, Protocols, Measurement,
Predictive models, Benchmark testing, Benchmark, dataset, evaluation,
weakly supervised object localization
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2301
Convolutional neural network, Weakly supervised learning, Object localization
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Weakly Supervised Foreground Learning for Weakly Supervised
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2302
Weakly supervised object localization,
Weakly supervised object detection, Foreground learning
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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,
weakly supervised instance segmentation.
Bridges, Visualization, Noise measurement, Recognition: detection,
Self- semi- meta- Vision applications and systems
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Elsevier DOI
2303
Object detection, Classification ambiguity, Refinement-aware classification
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Zhang, M.J.[Min-Jian],
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IEEE DOI
2303
Feature extraction, Semantics, Object detection, Proposals,
Detectors, Training, Optimization, Object detection, semantic richness
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Hwang, D.J.[Dong-Jun],
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Elsevier DOI
2305
Deep learning, Weakly-supervised learning,
Object localization, Entropy regularization, Dense attention map
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Elsevier DOI
2306
Weakly-supervised learning, Object detection and localization,
Class activation map, Feature enhancement
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Tan, J.Y.[Ji-Yong],
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IEEE DOI
2306
Location awareness, Task analysis, Crosstalk, Feature extraction,
Detectors, Multitasking, Object detection, Object detection, feature fusion
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Zheng, Z.H.[Zhao-Hui],
Ye, R.G.[Rong-Guang],
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Cheng, M.M.[Ming-Ming],
Localization Distillation for Object Detection,
PAMI(45), No. 8, August 2023, pp. 10070-10083.
IEEE DOI
2307
Location awareness, Object detection, Feature extraction,
Detectors, Training, Head, Knowledge engineering,
rotated object detection
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Giuliari, F.[Francesco],
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Cristani, M.[Marco],
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Leveraging Commonsense for Object Localisation in Partial Scenes,
PAMI(45), No. 10, October 2023, pp. 12038-12049.
IEEE DOI
2310
BibRef
Earlier: A1, A2, A3, A5, A4:
Spatial Commonsense Graph for Object Localisation in Partial Scenes,
CVPR22(19496-19505)
IEEE DOI
2210
Codes, Urban areas, Benchmark testing, Graph neural networks,
Scene analysis and understanding, Vision + X
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Zhu, L.[Lei],
She, Q.[Qi],
Chen, Q.[Qian],
Meng, X.X.[Xiang-Xi],
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Zhang, Y.B.[Yi-Bao],
Ren, Q.S.[Qiu-Shi],
Lu, Y.[Yanye],
Background-Aware Classification Activation Map for Weakly Supervised
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PAMI(45), No. 12, December 2023, pp. 14175-14191.
IEEE DOI
2311
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Zhu, L.[Lei],
Chen, Q.[Qian],
Jin, L.[Lujia],
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Bagging Regional Classification Activation Maps for Weakly Supervised
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Springer DOI
2211
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Tan, C.C.[Chuang-Chuang],
Gu, G.H.[Guang-Hua],
Ruan, T.[Tao],
Wei, S.K.[Shi-Kui],
Zhao, Y.[Yao],
Dual-Gradients Localization Framework With Skip-Layer Connections for
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MultMed(25), 2023, pp. 4933-4942.
IEEE DOI
2311
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Chen, D.[Dong],
Pan, X.J.[Xing-Jia],
Tang, F.[Fan],
Dong, W.M.[Wei-Ming],
Xu, C.S.[Chang-Sheng],
SPA2Net: Structure-Preserved Attention Activated Network for Weakly
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IP(32), 2023, pp. 5779-5793.
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2311
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Wang, C.W.[Chang-Wei],
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Meng, W.L.[Wei-Liang],
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Exploring Intrinsic Discrimination and Consistency for Weakly
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IP(33), 2024, pp. 1045-1058.
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WWW Link.
2402
Location awareness, Task analysis, Measurement, Training,
Image classification, Predictive models, Pipelines,
geometric transformation consistency
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Wang, Z.[Zuyi],
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Improving object detection by enhancing the effect of localisation
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IET-CV(18), No. 1, 2024, pp. 97-109.
DOI Link
2403
object detection, object recognition
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Zhang, A.[Aoran],
Ling, Z.G.[Zhi-Gang],
Wang, Y.N.[Yao-Nan],
Multi-Layer Decoupling Attention Network for Weakly Supervised Object
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MultMed(26), 2024, pp. 4469-4479.
IEEE DOI
2403
Location awareness, Cams, Annotations, Visualization, Fuses,
Background noise, Semantics,
weakly supervised object localization
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Li, B.F.[Bing-Feng],
Ruan, H.[Haohao],
Li, X.W.[Xin-Wei],
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Feature disparity learning for weakly supervised object localization,
IVC(145), 2024, pp. 104986.
Elsevier DOI
2405
Weakly supervised learning, Object localization,
Adversarial erasing, Spatial attention, Similarity measure
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Baydar, M.[Melih],
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SegIns: A simple extension to instance discrimination task for better
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JVCIR(100), 2024, pp. 104122.
Elsevier DOI
2405
Self-supervised learning, Contrastive learning,
Non-contrastive learning, Instance discrimination task, Object detection
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Khalafalla, M.[Mohammed],
Jiang, K.[Kaili],
Tian, K.L.[Kai-Lun],
Feng, H.[Hancong],
Xiong, Y.[Ying],
Tang, B.[Bin],
Two-Dimensional Target Localization Approach via a Closed-Form
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RS(16), No. 8, 2024, pp. 1370.
DOI Link
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Wang, X.F.[Xiao-Feng],
Liu, Z.[Zhe],
Qiao, X.R.[Xiang-Ru],
Li, Z.Q.[Zhi-Quan],
Wu, S.[Sidong],
Zhang, J.[Jiao],
Liu, Y.H.[Yong-Huai],
Li, Z.[Zhan],
Guo, H.B.[Hong-Bo],
Zhang, H.Z.[Huai-Zhong],
Clustering-inspired channel selection method for weakly supervised
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PRL(182), 2024, pp. 46-52.
Elsevier DOI
2405
Class activation map, Weakly supervised object localization,
Image classification, Channel selection, Clustering
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Yu, X.H.[Xue-Hui],
Chen, P.F.[Peng-Fei],
Wang, K.[Kuiran],
Han, X.M.[Xu-Meng],
Li, G.R.[Guo-Rong],
Han, Z.J.[Zhen-Jun],
Ye, Q.X.[Qi-Xiang],
Jiao, J.B.[Jian-Bin],
CPR++: Object Localization via Single Coarse Point Supervision,
PAMI(46), No. 7, July 2024, pp. 4908-4925.
IEEE DOI
2406
Semantics, Annotations, Location awareness, Task analysis, Training,
Optimization, Magnetic heads, Object localization,
point annotation
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
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Su, K.[Kai],
Tomioka, Y.[Yoichi],
Zhao, Q.[Qiangfu],
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YOLIC: An efficient method for object localization and classification
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IVC(147), 2024, pp. 105095.
Elsevier DOI
2406
Object localization and classification,
Cell-wise segmentation, Real-time detection, Tiny AI
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Zhu, L.[Lei],
She, Q.[Qi],
Chen, Q.[Qian],
Ren, Q.S.[Qiu-Shi],
Lu, Y.[Yanye],
Boosting Weakly Supervised Object Localization and Segmentation With
Domain Adaption,
PAMI(46), No. 12, December 2024, pp. 8680-8695.
IEEE DOI
2411
Location awareness, Task analysis, Pipelines, Training,
Feature extraction, Estimation, Biomedical imaging,
weakly supervised 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
Xu, C.[Can],
Hui, L.[Le],
Han, Y.H.[Yue-Hui],
Jiang, H.[Haobo],
Chen, J.X.[Jia-Xin],
Xie, J.[Jin],
Yang, J.[Jian],
Learning Local Semantic Region Activations for Weakly Supervised
Object Localization,
CirSysVideo(34), No. 10, October 2024, pp. 10182-10193.
IEEE DOI
2411
Location awareness, Semantics, Correlation, Feature extraction,
Task analysis, Pipelines, Proposals, Weakly-supervised,
semantic spatial activation
BibRef
Taioli, F.[Francesco],
Giuliari, F.[Francesco],
Wang, Y.M.[Yi-Ming],
Berra, R.[Riccardo],
Castellini, A.[Alberto],
del Bue, A.[Alessio],
Farinelli, A.[Alessandro],
Cristani, M.[Marco],
Setti, F.[Francesco],
Unsupervised Active Visual Search With Monte Carlo Planning Under
Uncertain Detections,
PAMI(46), No. 12, December 2024, pp. 11047-11058.
IEEE DOI
2411
Visualization, Planning, Search problems, Probabilistic logic,
Training, Detectors, Navigation, Active vision dataset benchmark,
partially observable Monte Carlo planning
BibRef
Cao, Y.W.[Yi-Wen],
Su, Y.K.[Yu-Kun],
Wang, W.J.[Wen-Jun],
Liu, Y.X.[Yan-Xia],
Wu, Q.Y.[Qing-Yao],
Semantic-Constraint Matching for transformer-based weakly supervised
object localization,
PR(158), 2025, pp. 110971.
Elsevier DOI
2411
Weakly-supervised object localization, Vision transformer,
Image matching, Vision language model
BibRef
Li, H.[Hao],
Yang, Z.[Zeyu],
Gong, M.[Maoguo],
Chen, S.[Shiguo],
Qin, A.K.,
Niu, Z.X.[Zhen-Xing],
Wu, Y.[Yue],
Zhou, Y.[Yu],
ShiftAttack: Toward Attacking the Localization Ability of Object
Detector,
CirSysVideo(34), No. 12, December 2024, pp. 12796-12810.
IEEE DOI
2501
Detectors, Feature extraction, Task analysis, Fabrication,
Perturbation methods, Location awareness, Pedestrians, positive samples
BibRef
Zhang, T.Y.[Tian-Yi],
Chen, C.Y.[Chun-Yun],
Liu, Y.[Yun],
Geng, X.[Xue],
Aly, M.M.S.[Mohamed M. Sabry],
Lin, J.[Jie],
PSRR-MaxpoolNMS++: Fast Non-Maximum Suppression With Discretization
and Pooling,
PAMI(47), No. 2, February 2025, pp. 978-993.
IEEE DOI
2501
Detectors, Pipelines, Proposals, Accuracy, Training, Feature extraction,
YOLO, Standards, Reviews, Parallel processing, fast NMS
BibRef
Siméoni, O.[Oriane],
Zablocki, É.[Éloi],
Gidaris, S.[Spyros],
Puy, G.[Gilles],
Pérez, P.[Patrick],
Unsupervised Object Localization in the Era of Self-Supervised ViTs:
A Survey,
IJCV(133), No. 2, February 2025, pp. 781-808.
Springer DOI
2502
BibRef
Xu, W.H.[Wen-Hao],
Wang, C.W.[Chang-Wei],
Xu, R.T.[Rong-Tao],
Xu, S.B.[Shi-Biao],
Meng, W.L.[Wei-Liang],
Zhang, M.[Man],
Zhang, X.P.[Xiao-Peng],
Token Masking Transformer for Weakly Supervised Object Localization,
MultMed(27), 2025, pp. 2059-2069.
IEEE DOI
2504
Transformers, Location awareness, Visualization, Training,
Computational modeling, Semantics, Hands,
token selection
BibRef
Fan, Y.M.[Yu-Ming],
Wei, S.[Shikui],
Tan, C.C.[Chuang-Chuang],
Chen, X.T.[Xiao-Tong],
Yang, D.M.[Dong-Ming],
Zhao, Y.[Yao],
Rethinking erasing strategy on weakly supervised object localization,
SP:IC(135), 2025, pp. 117280.
Elsevier DOI
2504
Weakly supervised learning, Erasing strategy, Object localization
BibRef
Chen, Z.W.[Zhi-Wei],
Shen, Y.H.[Yun-Hang],
Cao, L.J.[Liu-Juan],
Zhang, S.C.[Sheng-Chuan],
Ji, R.R.[Rong-Rong],
CLIP-Driven Transformer for Weakly Supervised Object Localization,
PAMI(47), No. 6, June 2025, pp. 4878-4896.
IEEE DOI
2505
Location awareness, Transformers, Semantics, Training, Proposals,
Kernel, Adaptation models, Accuracy, Visualization, Reviews,
vision transformer
BibRef
Chen, Z.W.[Zhi-Wei],
Ding, J.[Jinren],
Cao, L.J.[Liu-Juan],
Shen, Y.H.[Yun-Hang],
Zhang, S.C.[Sheng-Chuan],
Jiang, G.[Guannan],
Ji, R.R.[Rong-Rong],
Category-aware Allocation Transformer for Weakly Supervised Object
Localization,
ICCV23(6620-6629)
IEEE DOI
2401
BibRef
Yang, X.[Xi],
Duan, S.S.[Song-Song],
Wang, N.N.[Nan-Nan],
Gao, X.B.[Xin-Bo],
Pro2sam: Mask Prompt to Sam with Grid Points for Weakly Supervised
Object Localization,
ECCV24(LXIX: 387-403).
Springer DOI
2412
BibRef
Bär, A.[Andreas],
Uhrig, J.[Jonas],
Umesh, J.P.[Jeethesh Pai],
Cordts, M.[Marius],
Fingscheidt, T.[Tim],
A Novel Benchmark for Refinement of Noisy Localization Labels in
Autolabeled Datasets for Object Detection,
SAIAD23(3851-3860)
IEEE DOI
2309
BibRef
Aiger, D.[Dror],
Araujo, A.[André],
Lynen, S.[Simon],
Yes, we CANN: Constrained Approximate Nearest Neighbors for local
feature-based visual localization,
ICCV23(13293-13303)
IEEE DOI
2401
BibRef
Pu, Y.F.[Yi-Fan],
Wang, Y.[Yiru],
Xia, Z.[Zhuofan],
Han, Y.Z.[Yi-Zeng],
Wang, Y.L.[Yu-Lin],
Gan, W.H.[Wei-Hao],
Wang, Z.D.[Zi-Dong],
Song, S.[Shiji],
Huang, G.[Gao],
Adaptive Rotated Convolution for Rotated Object Detection,
ICCV23(6566-6577)
IEEE DOI Code:
WWW Link.
2401
BibRef
Rambhatla, S.S.[Sai Saketh],
Misra, I.[Ishan],
Chellappa, R.[Rama],
Shrivastava, A.[Abhinav],
MOST: Multiple Object localization with Self-supervised Transformers
for object discovery,
ICCV23(15777-15788)
IEEE DOI
2401
BibRef
Wu, P.Y.[Ping-Yu],
Zhai, W.[Wei],
Cao, Y.[Yang],
Luo, J.B.[Jie-Bo],
Zha, Z.J.[Zheng-Jun],
Spatial-Aware Token for Weakly Supervised Object Localization,
ICCV23(1844-1854)
IEEE DOI Code:
WWW Link.
2401
BibRef
Zhao, Y.Z.[Yu-Zhong],
Ye, Q.X.[Qi-Xiang],
Wu, W.J.[Wei-Jia],
Shen, C.H.[Chun-Hua],
Wan, F.[Fang],
Generative Prompt Model for Weakly Supervised Object Localization,
ICCV23(6328-6338)
IEEE DOI Code:
WWW Link.
2401
BibRef
Song, Y.[Yeonghwan],
Jang, S.[Seokwoo],
Katabi, D.[Dina],
Son, J.[Jeany],
Unsupervised Object Localization with Representer Point Selection,
ICCV23(6511-6521)
IEEE DOI Code:
WWW Link.
2401
BibRef
García-Ruiz, P.[Pablo],
Muñoz-Salinas, R.[Rafael],
Medina-Carnicer, R.[Rafael],
Marín-Jiménez, M.J.[Manuel J.],
Object Localization with Multiplanar Fiducial Markers: Accurate Pose
Estimation,
IbPRIA23(454-465).
Springer DOI
2307
BibRef
Wang, L.X.[Lian-Xing],
Li, H.X.[Hua-Xiong],
Weakly Supervised Object Localization Using Long-Range Semantic
Foreground Activation,
ICPR22(4580-4586)
IEEE DOI
2212
Location awareness, Visualization, Correlation, Semantics,
Benchmark testing, Transformers
BibRef
Ueda, I.[Itsuki],
Fukuhara, Y.[Yoshihiro],
Kataoka, H.[Hirokatsu],
Aizawa, H.[Hiroaki],
Shishido, H.[Hidehiko],
Kitahara, I.[Itaru],
Neural Density-Distance Fields,
ECCV22(XXXII:53-68).
Springer DOI
2211
WWW Link.
BibRef
Bai, H.T.[Hao-Tian],
Zhang, R.M.[Rui-Mao],
Wang, J.[Jiong],
Wan, X.[Xiang],
Weakly Supervised Object Localization via Transformer with Implicit
Spatial Calibration,
ECCV22(IX:612-628).
Springer DOI
2211
BibRef
Tseng, Y.Y.[Yu-Yun],
Sharma, T.[Tanusree],
Zhang, L.[Lotus],
Stangl, A.[Abigale],
Findlater, L.[Leah],
Wang, Y.[Yang],
Gurari, D.[Danna],
BIV-Priv-Seg: Locating Private Content in Images Taken by People With
Visual Impairments,
WACV25(430-440)
IEEE DOI Code:
WWW Link.
2505
Location awareness, Instance segmentation, Data privacy,
Image recognition, Text recognition, Visual impairment,
few-shot learning
BibRef
Tseng, Y.Y.[Yu-Yun],
Bell, A.[Alexander],
Gurari, D.[Danna],
VizWiz-FewShot: Locating Objects in Images Taken by People with Visual
Impairments,
ECCV22(VIII:575-591).
Springer DOI
2211
BibRef
Strafforello, O.[Ombretta],
Rajasekart, V.[Vanathi],
Kayhan, O.S.[Osman S.],
Inel, O.[Oana],
van Gemert, J.[Jan],
Humans Disagree With the IoU for Measuring Object Detector
Localization Error,
ICIP22(1261-1265)
IEEE DOI
2211
Location awareness, Measurement uncertainty, Detectors,
object detection, IoU, human preference
BibRef
Wei, J.[Jun],
Wang, S.[Sheng],
Zhou, S.K.[S. Kevin],
Cui, S.G.[Shu-Guang],
Li, Z.[Zhen],
Weakly Supervised Object Localization Through Inter-class Feature
Similarity and Intra-class Appearance Consistency,
ECCV22(XXX:195-210).
Springer DOI
2211
BibRef
Cole, E.[Elijah],
Wilber, K.[Kimberly],
Horn, G.V.[Grant Van],
Yang, X.[Xuan],
Fornoni, M.[Marco],
Perona, P.[Pietro],
Belongie, S.[Serge],
Howard, A.[Andrew],
Aodha, O.M.[Oisin Mac],
On Label Granularity and Object Localization,
ECCV22(X:604-620).
Springer DOI
2211
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,
Object recognition, Recognition: detection,
Vision applications and systems
BibRef
Xu, J.[Jilan],
Hou, J.L.[Jun-Lin],
Zhang, Y.J.[Yue-Jie],
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
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,
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,
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
BibRef
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
BibRef
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
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
BibRef
Keser, M.[Mert],
Schwalbe, G.[Gesina],
Nowzad, A.[Azarm],
Knoll, A.[Alois],
Interpretable Model-Agnostic Plausibility Verification for 2D Object
Detectors Using Domain-Invariant Concept Bottleneck Models,
SAIAD23(3891-3900)
IEEE DOI
2309
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, 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, 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
Li, Y.[Yao],
Liu, L.Q.[Ling-Qiao],
Shen, C.H.[Chun-Hua],
van den Hengel, A.[Anton],
Image Co-Localization by Mimicking a Good Detector's Confidence Score
Distribution,
ECCV16(II: 19-34).
Springer DOI
1611
identify each instance in multiple images.
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 .