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
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 .