8.6.1 Instance Segmentation

Chapter Contents (Back)
Segmentation, Guided. Segmentation, Instance.

Harwood, D.A., Chang, S., and Davis, L.S.,
Interpreting Aerial Photographs by Segmentation and Search,
DARPA87(507-520). ( See also Sigma Image Understanding System, The. ) Find segments (homogeneous regions), then find instances which satisfy definitions of object types, then search for support, then improve instances, then iterate with new estimates of parameters. See also Fua and Leclerc Guided Segmentation Papers. BibRef 8700

Meng, J., Yuan, J., Yang, J., Wang, G., Tan, Y.P.,
Object Instance Search in Videos via Spatio-Temporal Trajectory Discovery,
MultMed(18), No. 1, January 2016, pp. 116-127.
IEEE DOI 1601
Find specific object. BibRef

Yu, J.G.[Jin-Gang], Li, Y.S.[Yan-Sheng], Gao, C.X.[Chang-Xin], Gao, H.X.[Hong-Xia], Xia, G.S.[Gui-Song], Yu, Z.L.[Zhu Liang], Li, Y.Q.[Yuan-Qing],
Exemplar-Based Recursive Instance Segmentation With Application to Plant Image Analysis,
IP(29), No. 1, 2020, pp. 389-404.
IEEE DOI 1910
biology computing, computational complexity, computer vision, image classification, image segmentation, inference mechanisms, plant phenotyping BibRef

Zhang, H., Tian, Y., Wang, K., Zhang, W., Wang, F.,
Mask SSD: An Effective Single-Stage Approach to Object Instance Segmentation,
IP(29), 2020, pp. 2078-2093.
IEEE DOI 2001
Object detection, instance segmentation, feedback features, single-shot detector BibRef

Goldman, E.[Eran], Goldberger, J.[Jacob],
CRF with deep class embedding for large scale classification,
CVIU(191), 2020, pp. 102865.
Elsevier DOI 2002
CRF, Class embedding, Matrix factorization, Surrogate likelihood, Batch normalization BibRef

Goldman, E.[Eran], Herzig, R.[Roei], Eisenschtat, A.[Aviv], Goldberger, J.[Jacob], Hassner, T.[Tal],
Precise Detection in Densely Packed Scenes,
CVPR19(5222-5231).
IEEE DOI 2002
E.g. man-made scenes with numerous identical objects. BibRef

Su, H.[Hao], Wei, S.J.[Shun-Jun], Liu, S.[Shan], Liang, J.D.[Jia-Dian], Wang, C.[Chen], Shi, J.[Jun], Zhang, X.L.[Xiao-Ling],
HQ-ISNet: High-Quality Instance Segmentation for Remote Sensing Imagery,
RS(12), No. 6, 2020, pp. xx-yy.
DOI Link 2003
BibRef


Zhang, Z.Y.[Zi-Yu], Schwing, A.G.[Alexander G.], Fidler, S.[Sanja], Urtasun, R.[Raquel],
Monocular Object Instance Segmentation and Depth Ordering with CNNs,
ICCV15(2614-2622)
IEEE DOI 1602
Automobiles BibRef

Yao, J.[Jian], Boben, M.[Marko], Fidler, S.[Sanja], Urtasun, R.[Raquel],
Real-time coarse-to-fine topologically preserving segmentation,
CVPR15(2947-2955)
IEEE DOI 1510
BibRef

Gupta, A.[Agrim], Dollar, P.[Piotr], Girshick, R.[Ross],
LVIS: A Dataset for Large Vocabulary Instance Segmentation,
CVPR19(5351-5359).
IEEE DOI 2002
BibRef

Wang, X.L.[Xin-Long], Liu, S.[Shu], Shen, X.Y.[Xiao-Yong], Shen, C.H.[Chun-Hua], Jia, J.Y.[Jia-Ya],
Associatively Segmenting Instances and Semantics in Point Clouds,
CVPR19(4091-4100).
IEEE DOI 2002
BibRef

Hsu, K.J.[Kuang-Jui], Lin, Y.Y.[Yen-Yu], Chuang, Y.Y.[Yung-Yu],
DeepCO3: Deep Instance Co-Segmentation by Co-Peak Search and Co-Saliency Detection,
CVPR19(8838-8847).
IEEE DOI 2002
BibRef

Araslanov, N.[Nikita], Rothkopf, C.A.[Constantin A.], Roth, S.[Stefan],
Actor-Critic Instance Segmentation,
CVPR19(8229-8238).
IEEE DOI 2002
BibRef

Liu, S., Qi, L., Qin, H., Shi, J., Jia, J.,
Path Aggregation Network for Instance Segmentation,
CVPR18(8759-8768)
IEEE DOI 1812
Proposals, Feature extraction, Task analysis, Image segmentation, Object detection, Training, Semantics BibRef

Chen, L., Hermans, A., Papandreou, G., Schroff, F., Wang, P., Adam, H.,
MaskLab: Instance Segmentation by Refining Object Detection with Semantic and Direction Features,
CVPR18(4013-4022)
IEEE DOI 1812
Semantics, Agriculture, Image segmentation, Object detection, Convolution, Feature extraction, Encoding BibRef

Neven, D.[Davy], De Brabandere, B.[Bert], Proesmans, M.[Marc], Van Gool, L.J.[Luc J.],
Instance Segmentation by Jointly Optimizing Spatial Embeddings and Clustering Bandwidth,
CVPR19(8829-8837).
IEEE DOI 2002
BibRef

Qi, L.[Lu], Jiang, L.[Li], Liu, S.[Shu], Shen, X.Y.[Xiao-Yong], Jia, J.Y.[Jia-Ya],
Amodal Instance Segmentation With KINS Dataset,
CVPR19(3009-3018).
IEEE DOI 2002
BibRef

Pham, Q.H.[Quang-Hieu], Nguyen, T.[Thanh], Hua, B.S.[Binh-Son], Roig, G.[Gemma], Yeung, S.K.[Sai-Kit],
JSIS3D: Joint Semantic-Instance Segmentation of 3D Point Clouds With Multi-Task Pointwise Networks and Multi-Value Conditional Random Fields,
CVPR19(8819-8828).
IEEE DOI 2002
BibRef

Chen, K.[Kai], Pang, J.M.[Jiang-Miao], Wang, J.Q.[Jia-Qi], Xiong, Y.[Yu], Li, X.X.[Xiao-Xiao], Sun, S.Y.[Shu-Yang], Feng, W.[Wansen], Liu, Z.[Ziwei], Shi, J.P.[Jian-Ping], Ouyang, W.L.[Wan-Li], Loy, C.C.[Chen Change], Lin, D.[Dahua],
Hybrid Task Cascade for Instance Segmentation,
CVPR19(4969-4978).
IEEE DOI 2002
BibRef

Elich, C.[Cathrin], Engelmann, F.[Francis], Kontogianni, T.[Theodora], Leibe, B.[Bastian],
3D Bird's-Eye-View Instance Segmentation,
GCPR19(48-61).
Springer DOI 1911
BibRef

Shang, C., Wu, Q., Meng, F., Xu, L.,
Instance Segmentation by Learning Deep Feature in Embedding Space,
ICIP19(2444-2448)
IEEE DOI 1910
Instance Segmentation, Instance Discrimination Network, Embedding Space, Deep Feature BibRef

Liu, Y.F.[Yan-Feng], Psota, E.T.[Eric T.], Pérez, L.C.[Lance C.],
Layered Embeddings for Amodal Instance Segmentation,
ICIAR19(I:102-111).
Springer DOI 1909
Code, Segmentation. Code available:
WWW Link. BibRef

Couprie, C.[Camille], Luc, P.[Pauline], Verbeek, J.[Jakob],
Joint Future Semantic and Instance Segmentation Prediction,
AnticipateBeh18(III:154-168).
Springer DOI 1905
BibRef

Halupka, K., Garnavi, R., Moore, S.,
Deep Semantic Instance Segmentation of Tree-Like Structures Using Synthetic Data,
WACV19(1713-1722)
IEEE DOI 1904
data analysis, feature extraction, image segmentation, learning (artificial intelligence), neural nets, Periodic structures BibRef

Follmann, P.[Patrick], Nig, R.K.[Rebecca Kö], Rtinger, P.H.[Philipp Hä], Klostermann, M.[Michael], Ttger, T.B.[Tobias Bö],
Learning to See the Invisible: End-to-End Trainable Amodal Instance Segmentation,
WACV19(1328-1336)
IEEE DOI 1904
image segmentation, learning (artificial intelligence), object detection, COCOA cls, D2S amodal, COCO amodal dataset, BibRef

Li, K.[Ke], Malik, J.[Jitendra],
Amodal Instance Segmentation,
ECCV16(II: 677-693).
Springer DOI 1611
predict the region encompassing both visible and occluded parts of each object. BibRef

Li, K.[Ke], Hariharan, B.[Bharath], Malik, J.[Jitendra],
Iterative Instance Segmentation,
CVPR16(3659-3667)
IEEE DOI 1612
BibRef

Li, Z.X.[Zuo-Xin], Zhou, F.Q.[Fu-Qiang], Yang, L.[Lu],
Fast Single Shot Instance Segmentation,
ACCV18(IV:257-272).
Springer DOI 1906
BibRef

Manohar, K.V., Niitani, Y.[Yusuke],
An End-to-End Tree Based Approach for Instance Segmentation,
POCV18(V:521-527).
Springer DOI 1905
BibRef

Liu, Y., Wang, R., Shan, S., Chen, X.,
Structure Inference Net: Object Detection Using Scene-Level Context and Instance-Level Relationships,
CVPR18(6985-6994)
IEEE DOI 1812
Object detection, Feature extraction, Logic gates, Visualization, Detectors, Context modeling, Image edge detection 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

Liu, Y.D.[Yi-Ding], Yang, S.[Siyu], Li, B.[Bin], Zhou, W.G.[Wen-Gang], Xu, J.Z.[Ji-Zheng], Li, H.Q.A.[Hou-Qi-Ang], Lu, Y.[Yan],
Affinity Derivation and Graph Merge for Instance Segmentation,
ECCV18(III: 708-724).
Springer DOI 1810
BibRef

Novotny, D.[David], Albanie, S.[Samuel], Larlus, D.[Diane], Vedaldi, A.[Andrea],
Semi-convolutional Operators for Instance Segmentation,
ECCV18(I: 89-105).
Springer DOI 1810
BibRef

Margffoy-Tuay, E.[Edgar], Pérez, J.C.[Juan C.], Botero, E.[Emilio], Arbeláez, P.[Pablo],
Dynamic Multimodal Instance Segmentation Guided by Natural Language Queries,
ECCV18(XI: 656-672).
Springer DOI 1810
BibRef

Xu, W.Q.[Wen-Qiang], Li, Y.L.[Yong-Lu], Lu, C.W.[Ce-Wu],
SRDA: Generating Instance Segmentation Annotation via Scanning, Reasoning and Domain Adaptation,
ECCV18(XII: 124-140).
Springer DOI 1810
BibRef

Pham, T.[Trung], Kumar, B.G.V.[B. G. Vijay], Do, T.T.[Thanh-Toan], Carneiro, G.[Gustavo], Reid, I.D.[Ian D.],
Bayesian Semantic Instance Segmentation in Open Set World,
ECCV18(X: 3-18).
Springer DOI 1810
BibRef

Ren, M.Y.[Meng-Ye], Zemel, R.S.[Richard S.],
End-to-End Instance Segmentation with Recurrent Attention,
CVPR17(293-301)
IEEE DOI 1711
Computational modeling, Convolution, Image segmentation, Indexes, Training. Counting. BibRef

Chattopadhyay, P., Vedantam, R., Selvaraju, R.R., Batra, D., Parikh, D.,
Counting Everyday Objects in Everyday Scenes,
CVPR17(4428-4437)
IEEE DOI 1711
Detectors, Feature extraction, Knowledge discovery, Object detection, Surveillance, Visualization 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

Chen, Y.T.[Yi-Ting], Liu, X.[Xiaokai], Yang, M.H.[Ming-Hsuan],
Multi-instance object segmentation with occlusion handling,
CVPR15(3470-3478)
IEEE DOI 1510
BibRef

Liu, B.Y.[Bu-Yu], He, X.M.[Xu-Ming],
Multiclass semantic video segmentation with object-level active inference,
CVPR15(4286-4294)
IEEE DOI 1510
BibRef

Liu, B.Y.[Bu-Yu], He, X.M.[Xu-Ming], Gould, S.[Stephen],
Multi-class Semantic Video Segmentation with Exemplar-Based Object Reasoning,
WACV15(1014-1021)
IEEE DOI 1503
Cognition BibRef

He, X.M.[Xu-Ming], Gould, S.[Stephen],
An Exemplar-Based CRF for Multi-instance Object Segmentation,
CVPR14(296-303)
IEEE DOI 1409
BibRef
Earlier:
Multi-instance Object Segmentation with Exemplars,
GMSU13(1-4)
IEEE DOI 1403
Markov processes BibRef

Fiaschi, L.[Luca], Koethe, U.[Ullrich], Nair, R.[Rahul], Hamprecht, F.A.[Fred A.],
Learning to count with regression forest and structured labels,
ICPR12(2685-2688).
WWW Link. 1302
count instances BibRef

Chapter on 2-D Region Segmentation Techniques, Snakes, Active Contours continues in
Co-Segmentation, Cosegmentation .


Last update:Apr 6, 2020 at 18:30:45