7.1.7.3 One-Shot Object Detection, Single Shot Detector, and Segmentation

Chapter Contents (Back)
One-Shot Detection. Single Shot Detection. One Shot.
See also Instance of Particular Object, Specified Object.

Pagès, J.[Jordi], Salvi, J.[Joaquim], Collewet, C.[Christophe], Forest, J.[Josep],
Optimised De Bruijn patterns for one-shot shape acquisition,
IVC(23), No. 8, 1 August 2005, pp. 707-720.
Elsevier DOI 0508
BibRef

Lampert, C.H.[Christoph H.], Nickisch, H.[Hannes], Harmeling, S.[Stefan],
Attribute-Based Classification for Zero-Shot Visual Object Categorization,
PAMI(36), No. 3, March 2014, pp. 453-465.
IEEE DOI 1403
BibRef
Earlier:
Learning to detect unseen object classes by between-class attribute transfer,
CVPR09(951-958).
IEEE DOI 0906
computer vision BibRef

Biswas, S.K.[Sujoy Kumar], Milanfar, P.[Peyman],
One Shot Detection with Laplacian Object and Fast Matrix Cosine Similarity,
PAMI(38), No. 3, March 2016, pp. 546-562.
IEEE DOI 1602
BibRef
Earlier:
Laplacian object: One-shot object detection by locality preserving projection,
ICIP14(4062-4066)
IEEE DOI 1502
Covariance matrices. Search for single query in larger target image. BibRef

Chen, S.Q.[Shi-Qi], Zhan, R.H.[Rong-Hui], Zhang, J.[Jun],
Geospatial Object Detection in Remote Sensing Imagery Based on Multiscale Single-Shot Detector with Activated Semantics,
RS(10), No. 6, 2018, pp. xx-yy.
DOI Link 1806
BibRef

Chen, Z.C.[Zheng-Chao], Lu, K.X.[Kai-Xuan], Gao, L.R.[Lian-Ru], Li, B.P.[Bai-Peng], Gao, J.W.[Jian-Wei], Yang, X.[Xuan], Yao, M.F.[Mu-Feng], Zhang, B.[Bing],
Automatic Detection of Track and Fields in China from High-Resolution Satellite Images Using Multi-Scale-Fused Single Shot MultiBox Detector,
RS(11), No. 11, 2019, pp. xx-yy.
DOI Link 1906
Complex, varied structures. BibRef

Li, X.Q.[Xiao-Qiang], Liu, C.W.[Chuan-Wei], Dai, S.M.[Song-Min], Lian, H.C.[Hui-Chen], Ding, G.T.[Guang-Tai],
Scale specified single shot multibox detector,
IET-CV(14), No. 2, March 2020, pp. 59-64.
DOI Link 2002
Detection at multiple scales. BibRef

Wang, P.J.[Pei-Jin], Sun, X.[Xian], Diao, W.H.[Wen-Hui], Fu, K.[Kun],
FMSSD: Feature-Merged Single-Shot Detection for Multiscale Objects in Large-Scale Remote Sensing Imagery,
GeoRS(58), No. 5, May 2020, pp. 3377-3390.
IEEE DOI 2005
Area-weighted, context information, one-stage, remote sensing imagery, small object detection BibRef

Yan, C.X.[Cai-Xia], Zheng, Q.H.[Qing-Hua], Chang, X.J.[Xiao-Jun], Luo, M.N.[Min-Nan], Yeh, C.H.[Chung-Hsing], Hauptman, A.G.[Alexander G.],
Semantics-Preserving Graph Propagation for Zero-Shot Object Detection,
IP(29), 2020, pp. 8163-8176.
IEEE DOI 2008
Semantics, Object detection, Task analysis, Visualization, Motorcycles, Bicycles, Correlation, Zero-shot object detection, graph propagation BibRef

Rahman, S.[Shafin], Khan, S.H.[Salman H.], Porikli, F.M.[Fatih M.],
Zero-Shot Object Detection: Joint Recognition and Localization of Novel Concepts,
IJCV(128), No. 12, December 2020, pp. 2979-2999.
Springer DOI 2010
BibRef

Chen, F.Y.[Fang-Yi], Zhu, C.C.[Chen-Chen], Shen, Z.Q.[Zhi-Qiang], Zhang, H.[Han], Savvides, M.[Marios],
NCMS: Towards accurate anchor free object detection through L2 norm calibration and multi-feature selection,
CVIU(200), 2020, pp. 103050.
Elsevier DOI 2010
Object detection, Norm calibration, Feature selection BibRef

Zhu, C.C.[Chen-Chen], He, Y.H.[Yi-Hui], Savvides, M.[Marios],
Feature Selective Anchor-Free Module for Single-Shot Object Detection,
CVPR19(840-849).
IEEE DOI 2002
BibRef

Zhu, C.C.[Chen-Chen], Chen, F.Y.[Fang-Yi], Shen, Z.Q.[Zhi-Qiang], Savvides, M.[Marios],
Soft Anchor-point Object Detection,
ECCV20(IX:91-107).
Springer DOI 2011
Boost performance of anchor-point, with same speed advantage. BibRef

Li, Y., Pang, Y., Cao, J., Shen, J., Shao, L.,
Improving Single Shot Object Detection With Feature Scale Unmixing,
IP(30), 2021, pp. 2708-2721.
IEEE DOI 2102
Feature extraction, Detectors, Object detection, Visualization, Semantics, Sports, Real-time systems, Object detection, feature erasing BibRef

Pambala, A.K.[Ayyappa Kumar], Dutta, T.[Titir], Biswas, S.[Soma],
SML: Semantic meta-learning for few-shot semantic segmentation?,
PRL(147), 2021, pp. 93-99.
Elsevier DOI 2106
Few-shot learning, Semantic segmentation, Attributes BibRef

Kim, G.[Geonuk], Jung, H.G.[Hong-Gyu], Lee, S.W.[Seong-Whan],
Spatial reasoning for few-shot object detection,
PR(120), 2021, pp. 108118.
Elsevier DOI 2109
Few-shot learning, Object detection, Transfer learning, Visual reasoning, Data augmentation BibRef


Ying, X.W.[Xiao-Wen], Li, X.[Xin], Chuah, M.C.[Mooi Choo],
Weakly-Supervised Object Representation Learning for Few-Shot Semantic Segmentation,
WACV21(1496-1505)
IEEE DOI 2106
Training, Image segmentation, Annotations, Semantics, Benchmark testing BibRef

Wang, H.C.[Hao-Chen], Yang, Y.D.[Yan-Dan], Cao, X.B.[Xian-Bin], Zhen, X.T.[Xian-Tong], Snoek, C.[Cees], Shao, L.[Ling],
Variational Prototype Inference for Few-Shot Semantic Segmentation,
WACV21(525-534)
IEEE DOI 2106
Image segmentation, Uncertainty, Semantics, Prototypes, Benchmark testing, Probabilistic logic BibRef

Cheng, Y.[Yuan], Yang, Y.[Yuchao], Chen, H.B.[Hai-Bao], Wong, N.[Ngai], Yu, H.[Hao],
S3-Net: A Fast and Lightweight Video Scene Understanding Network by Single-shot Segmentation,
WACV21(3328-3336)
IEEE DOI 2106
Quantization (signal), Computational modeling, Semantics, Graphics processing units, Streaming media, Feature extraction, Rendering (computer graphics) BibRef

Agarwal, S.[Shivang], Jurie, F.[Frederic],
Hierarchical Head Design for Object Detectors,
ICPR21(4981-4988)
IEEE DOI 2105
Training, Head, Detectors, Object detection, Performance gain, Feature extraction, 2D Object Detection, Deep Learning BibRef

Orfanidis, G.[Georgios], Ioannidis, K.[Konstantinos], Vrochidis, S.[Stefanos], Tefas, A.[Anastasios], Kompatsiaris, I.[Ioannis],
A modified Single-Shot multibox Detector for beyond Real-Time Object Detection,
ICPR21(3977-3984)
IEEE DOI 2105
Detectors, Object detection, Real-time systems, Timing BibRef

Zhang, S.[Shan], Luo, D.[Dawei], Wang, L.[Lei], Koniusz, P.[Piotr],
Few-shot Object Detection by Second-order Pooling,
ACCV20(IV:369-387).
Springer DOI 2103
BibRef

Zheng, Y.[Ye], Huang, R.[Ruoran], Han, C.Q.[Chuan-Qi], Huang, X.[Xi], Cui, L.[Li],
Background Learnable Cascade for Zero-shot Object Detection,
ACCV20(III:107-123).
Springer DOI 2103
BibRef

Hayat, N.[Nasir], Hayat, M.[Munawar], Rahman, S.[Shafin], Khan, S.[Salman], Zamir, S.W.[Syed Waqas], Khan, F.S.[Fahad Shahbaz],
Synthesizing the Unseen for Zero-shot Object Detection,
ACCV20(III:155-170).
Springer DOI 2103
BibRef

Osokin, A.[Anton], Sumin, D.[Denis], Lomakin, V.[Vasily],
Os2d: One-stage One-shot Object Detection by Matching Anchor Features,
ECCV20(XV:635-652).
Springer DOI 2011
detecting objects defined by a single demonstration. BibRef

d'Innocente, A.[Antonio], Borlino, F.C.[Francesco Cappio], Bucci, S.[Silvia], Caputo, B.[Barbara], Tommasi, T.[Tatiana],
One-shot Unsupervised Cross-Domain Detection,
ECCV20(XVI: 732-748).
Springer DOI 2010
BibRef

Wu, J.X.[Jia-Xi], Liu, S.T.[Song-Tao], Huang, D.[Di], Wang, Y.H.[Yun-Hong],
Multi-scale Positive Sample Refinement for Few-shot Object Detection,
ECCV20(XVI: 456-472).
Springer DOI 2010
BibRef

Liu, W., Zhang, C., Lin, G., Liu, F.,
CRNet: Cross-Reference Networks for Few-Shot Segmentation,
CVPR20(4164-4172)
IEEE DOI 2008
Image segmentation, Task analysis, Training, Predictive models, Fuses, Testing, Data models BibRef

Jang, H., Woo, S., Benz, P., Park, J., Kweon, I.S.,
Propose-and-Attend Single Shot Detector,
WACV20(804-813)
IEEE DOI 2006
Detectors, Training, Convolution, Proposals, Feature extraction, Standards, Computational modeling BibRef

Raza, H., Ravanbakhsh, M., Klein, T., Nabi, M.,
Weakly Supervised One Shot Segmentation,
MDALC19(1401-1406)
IEEE DOI 2004
image representation, image segmentation, learning (artificial intelligence), one-shot learning, semantic segmentation BibRef

Siam, M., Oreshkin, B., Jagersand, M.,
AMP: Adaptive Masked Proxies for Few-Shot Segmentation,
ICCV19(5248-5257)
IEEE DOI 2004
Code, Segmentation.
WWW Link. image fusion, image motion analysis, image segmentation, learning (artificial intelligence), AMP, adaptive masked proxies, Feature extraction BibRef

Yang, Y.[Yuwei], Meng, F.[Fanman], Li, H.L.[Hong-Liang], Wu, Q.B.[Qing-Bo], Xu, X.L.[Xiao-Long], Chen, S.[Shuai],
A New Local Transformation Module for Few-shot Segmentation,
MMMod20(II:76-87).
Springer DOI 2003
BibRef

Pérez-Rúa, J., Zhu, X., Hospedales, T.M., Xiang, T.,
Incremental Few-Shot Object Detection,
CVPR20(13843-13852)
IEEE DOI 2008
Object detection, Training, Feature extraction, Detectors, Heating systems, Generators, Robots BibRef

Wang, S., Cao, S., Wei, D., Wang, R., Ma, K., Wang, L., Meng, D., Zheng, Y.,
LT-Net: Label Transfer by Learning Reversible Voxel-Wise Correspondence for One-Shot Medical Image Segmentation,
CVPR20(9159-9168)
IEEE DOI 2008
Image segmentation, Machine learning, Computer vision, Medical diagnostic imaging, Training BibRef

Kang, B., Liu, Z., Wang, X., Yu, F., Feng, J., Darrell, T.J.,
Few-Shot Object Detection via Feature Reweighting,
ICCV19(8419-8428)
IEEE DOI 2004
convolutional neural nets, feature extraction, learning (artificial intelligence), object detection, Training data BibRef

Chen, S., Wang, X.,
Single-Shot Detector with Multiple Inference Paths,
ICIP19(2005-2009)
IEEE DOI 1910
Object detection, resource-constrained, deep networks BibRef

Li, W., Liu, G.,
A Single-Shot Object Detector with Feature Aggregation and Enhancement,
ICIP19(3910-3914)
IEEE DOI 1910
Real-Time object detection, feature enhancement, feature aggregation BibRef

Li, S.[Shuai], Yang, L.X.[Ling-Xiao], Huang, J.Q.[Jian-Qiang], Hua, X.S.[Xian-Sheng], Zhang, L.[Lei],
Dynamic Anchor Feature Selection for Single-Shot Object Detection,
ICCV19(6608-6617)
IEEE DOI 2004
feature extraction, feature selection, image fusion, object detection, regression analysis BibRef

Nguyen, K.[Khoi], Todorovic, S.[Sinisa],
Feature Weighting and Boosting for Few-Shot Segmentation,
ICCV19(622-631)
IEEE DOI 2004
foreground objects in images. convolutional neural nets, feature extraction, image classification, image segmentation, inference mechanisms, Computer architecture BibRef

Zhang, Z., Qiao, S., Xie, C., Shen, W., Wang, B., Yuille, A.L.,
Single-Shot Object Detection with Enriched Semantics,
CVPR18(5813-5821)
IEEE DOI 1812
Semantics, Feature extraction, Object detection, Image segmentation, Detectors, Task analysis, Visualization BibRef

Xiang, W., Zhang, D.Q., Yu, H., Athitsos, V.,
Context-Aware Single-Shot Detector,
WACV18(1784-1793)
IEEE DOI 1806
SSD object detector. convolution, object detection, ubiquitous computing, CSSD, SSD, VGGNet, context layers, Radio frequency BibRef

Woo, S.[Sanghyun], Hwang, S.[Soonmin], Kweon, I.S.[In So],
StairNet: Top-Down Semantic Aggregation for Accurate One Shot Detection,
WACV18(1093-1102)
IEEE DOI 1806
feature extraction, image classification, image representation, object detection, PASCAL VOC 2012 datasets, SSD framework, Visualization Compare to SSD and YOLO. BibRef

Hu, H., Lan, S., Jiang, Y., Cao, Z., Sha, F.,
FastMask: Segment Multi-scale Object Candidates in One Shot,
CVPR17(2280-2288)
IEEE DOI 1711
Feature extraction, Head, Image segmentation, Neck, Proposals, Semantics BibRef

Chapter on 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture continues in
Instance of Particular Object, Specified Object .


Last update:Sep 19, 2021 at 21:11:01