Wang, L.T.[Lian-Tao],
Meng, D.,
Hu, X.L.[Xue-Lei],
Lu, J.F.[Jian-Feng],
Zhao, J.[Ji],
Instance Annotation via Optimal BoW for Weakly Supervised Object
Localization,
Cyber(47), No. 5, May 2017, pp. 1313-1324.
IEEE DOI
1704
BibRef
Earlier: A1, A5, A3, A4, Only:
Weakly supervised object localization via maximal entropy randomwalk,
ICIP14(1614-1617)
IEEE DOI
1502
Birds. Entropy
BibRef
Hu, Z.[Zheng],
Liu, Z.[Zhi],
Li, G.Y.[Gong-Yang],
Ye, L.W.[Lin-Wei],
Zhou, L.[Lei],
Wang, Y.[Yang],
Weakly supervised instance segmentation using multi-stage erasing
refinement and saliency-guided proposals ordering,
JVCIR(73), 2020, pp. 102957.
Elsevier DOI
2012
Weakly supervised instance segmentation,
Image-level annotations, Multi-stage erasing refinement,
Saliency-guided proposals ordering
BibRef
Xu, Y.Q.[Yun-Qiu],
Zhou, C.L.[Chun-Luan],
Yu, X.[Xin],
Xiao, B.[Bin],
Yang, Y.[Yi],
Pyramidal Multiple Instance Detection Network With Mask Guided
Self-Correction for Weakly Supervised Object Detection,
IP(30), 2021, pp. 3029-3040.
IEEE DOI
2102
Proposals, Annotations, Object detection, Training,
Image segmentation, Detectors, Task analysis, pyramidal network
BibRef
Liu, Y.[Yun],
Wu, Y.H.[Yu-Huan],
Wen, P.S.[Pei-Song],
Shi, Y.J.[Yu-Jun],
Qiu, Y.[Yu],
Cheng, M.M.[Ming-Ming],
Leveraging Instance-, Image- and Dataset-Level Information for Weakly
Supervised Instance Segmentation,
PAMI(44), No. 3, March 2022, pp. 1415-1428.
IEEE DOI
2202
Semantics, Proposals, Image segmentation, Training,
Probability distribution, Feature extraction, Noise measurement,
multi-way cut
BibRef
Hao, S.Y.[Sheng-Yu],
Wang, G.A.[Gao-Ang],
Gu, R.S.[Ren-Shu],
Weakly supervised instance segmentation using multi-prior fusion,
CVIU(211), 2021, pp. 103261.
Elsevier DOI
2110
Instance segmentation, Weakly supervised, Multi-priors, Bounding box annotations
BibRef
Zhang, J.B.[Jia-Bin],
Su, H.[Hu],
He, Y.H.[Yong-Hao],
Zou, W.[Wei],
Weakly Supervised Instance Segmentation via Category-aware Centerness
Learning with Localization Supervision,
PR(136), 2023, pp. 109165.
Elsevier DOI
2301
Weakly supervised learning, Instance segmentation, Centerness,
Coarse localization annotation
BibRef
Zhang, K.[Ke],
Yuan, C.[Chun],
Zhu, Y.M.[Yi-Ming],
Jiang, Y.[Yong],
Luo, L.[Lishu],
Weakly Supervised Instance Segmentation by Exploring Entire Object
Regions,
MultMed(25), 2023, pp. 352-363.
IEEE DOI
2302
Image segmentation, Semantics, Task analysis, Streaming media,
Location awareness, Saliency detection, Training, integration module
BibRef
Zhu, L.J.[Liang-Jun],
Peng, L.[Li],
Ding, S.C.[Shu-Chen],
Liu, Z.R.[Zhong-Ren],
An encoder-decoder framework with dynamic convolution for weakly
supervised instance segmentation,
IET-CV(17), No. 8, 2023, pp. 883-894.
DOI Link
2312
image segmentation, object detection
BibRef
Ji, Z.L.[Zong-Liang],
Veksler, O.[Olga],
Regularized Loss With Hyperparameter Estimation for Weakly Supervised
Single Class Segmentation,
PAMI(46), No. 5, May 2024, pp. 3923-3937.
IEEE DOI
2404
BibRef
Earlier: A2, Only:
Regularized Loss for Weakly Supervised Single Class Semantic
Segmentation,
ECCV20(XXIX: 348-365).
Springer DOI
2010
Training, Cams, Conditional random fields, Task analysis,
Semantic segmentation, Annotations, Annealing, Co-segmentation,
weak supervision
BibRef
Huang, Z.X.[Zu-Xian],
Pan, D.S.[Dong-Sheng],
Wu, G.S.[Gang-Shan],
Weakly supervised instance segmentation via peak mining and filtering,
IET-IPR(18), No. 6, 2024, pp. 1565-1578.
DOI Link
2405
image segmentation
BibRef
Peng, J.[Jin],
Wang, Y.X.[Yong-Xiong],
Pan, Z.Q.[Zhi-Qun],
Weakly supervised instance segmentation via class double-activation
maps and boundary localization,
SP:IC(127), 2024, pp. 117150.
Elsevier DOI
2408
Weakly supervised learning, Instance segmentation,
Class double-activation map (double-CAM), Boundary localization
BibRef
Jiang, S.H.[Shang-Hang],
Zhao, S.C.[Shi-Chao],
Wu, M.[Meng],
Zhang, L.[Le],
Zhou, F.[Feng],
Overlap Loss: Rethinking Weakly Supervised Instance Segmentation in
Crowded Scenes,
ICIP23(2905-2909)
IEEE DOI Code:
WWW Link.
2312
BibRef
Tang, L.[Linghua],
Hui, L.[Le],
Xie, J.[Jin],
Learning Inter-superpoint Affinity for Weakly Supervised 3d Instance
Segmentation,
ACCV22(I:176-192).
Springer DOI
2307
BibRef
Lan, S.Y.[Shi-Yi],
Yu, Z.D.[Zhi-Ding],
Choy, C.[Christopher],
Radhakrishnan, S.[Subhashree],
Liu, G.L.[Gui-Lin],
Zhu, Y.K.[Yu-Ke],
Davis, L.S.[Larry S.],
Anandkumar, A.[Anima],
DiscoBox: Weakly Supervised Instance Segmentation and Semantic
Correspondence from Box Supervision,
ICCV21(3386-3396)
IEEE DOI
2203
Symbiosis, Measurement, Semantics, Benchmark testing,
Real-time systems, Detection and localization in 2D and 3D,
grouping and shape
BibRef
Biertimpel, D.[David],
Shkodrani, S.[Sindi],
Baslamisli, A.S.[Anil S.],
Baka, N.[Nóra],
Prior to Segment: Foreground Cues for Weakly Annotated Classes in
Partially Supervised Instance Segmentation,
ICCV21(2804-2813)
IEEE DOI
2203
Training, Head, Cams,
Detection and localization in 2D and 3D, Scene analysis and understanding
BibRef
Yang, Y.Y.[Yu-Yuan],
Hou, Y.L.[Ya-Li],
Hou, Z.J.[Zhi-Jiang],
Hao, X.L.[Xiao-Li],
Shen, Y.[Yan],
Image-Level Supervised Instance Segmentation Using Instance-Wise
Boundary,
ICIP21(1069-1073)
IEEE DOI
2201
Image segmentation, Annotations, Cams, Data mining,
Instance segmentation, Weakly supervised, Image-level supervision
BibRef
Wang, X.G.[Xing-Gang],
Feng, J.[Jiapei],
Hu, B.[Bin],
Ding, Q.[Qi],
Ran, L.J.[Long-Jin],
Chen, X.X.[Xiao-Xin],
Liu, W.Y.[Wen-Yu],
Weakly-supervised Instance Segmentation via Class-agnostic Learning
with Salient Images,
CVPR21(10220-10230)
IEEE DOI
2111
Training, Location awareness, Learning systems, Image segmentation,
Codes, Merging
BibRef
Lee, J.[Jungbeom],
Yi, J.[Jihun],
Shin, C.[Chaehun],
Yoon, S.[Sungroh],
BBAM: Bounding Box Attribution Map for Weakly Supervised Semantic and
Instance Segmentation,
CVPR21(2643-2651)
IEEE DOI
2111
Image segmentation, Annotations, Semantics,
Detectors, Benchmark testing, Generators
BibRef
Hwang, J.[Jaedong],
Kim, S.[Seohyun],
Son, J.[Jeany],
Han, B.H.[Bo-Hyung],
Weakly Supervised Instance Segmentation by Deep Community Learning,
WACV21(1019-1028)
IEEE DOI
2106
Training, Neural networks, Semantics, Object detection, Detectors,
Feature extraction, Proposals
BibRef
Arun, A.[Aditya],
Jawahar, C.V.,
Kumar, M.P.[M. Pawan],
Weakly Supervised Instance Segmentation by Learning Annotation
Consistent Instances,
ECCV20(XXVIII:254-270).
Springer DOI
2011
BibRef
Ge, W.,
Huang, W.,
Guo, S.,
Scott, M.,
Label-PEnet: Sequential Label Propagation and Enhancement Networks
for Weakly Supervised Instance Segmentation,
ICCV19(3344-3353)
IEEE DOI
2004
image classification, image representation, image segmentation,
learning (artificial intelligence), object detection, Task analysis
BibRef
Fan, R.C.[Ruo-Chen],
Hou, Q.B.[Qi-Bin],
Cheng, M.M.[Ming-Ming],
Yu, G.[Gang],
Martin, R.R.[Ralph R.],
Hu, S.M.[Shi-Min],
Associating Inter-image Salient Instances for Weakly Supervised
Semantic Segmentation,
ECCV18(IX: 371-388).
Springer DOI
1810
BibRef
Zhou, Y.Z.[Yan-Zhao],
Zhu, Y.[Yi],
Ye, Q.X.[Qi-Xiang],
Qiu, Q.[Qiang],
Jiao, J.B.[Jian-Bin],
Weakly Supervised Instance Segmentation Using Class Peak Response,
CVPR18(3791-3800)
IEEE DOI
1812
Image segmentation, Visualization, Training, Semantics, Proposals,
Image color analysis, Kernel
BibRef
Vezhnevets, A.[Alexander],
Ferrari, V.[Vittorio],
Buhmann, J.M.[Joachim M.],
Weakly supervised structured output learning for semantic segmentation,
CVPR12(845-852).
IEEE DOI
1208
BibRef
Earlier:
Weakly supervised semantic segmentation with a multi-image model,
ICCV11(643-650).
IEEE DOI
1201
BibRef
Vezhnevets, A.[Alexander],
Buhmann, J.M.[Joachim M.],
Towards weakly supervised semantic segmentation by means of multiple
instance and multitask learning,
CVPR10(3249-3256).
IEEE DOI
1006
See also Agnostic Domain Adaptation.
BibRef
Chapter on 2-D Region Segmentation Techniques, Snakes, Active Contours continues in
Single-Shot, Few-Shot Instance Segmentation .