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Chen, F.Y.[Fang-Yi],
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Object detection, Norm calibration, Feature selection
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2011
Boost performance of anchor-point, with same speed advantage.
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Feature extraction, Detectors, Object detection, Visualization,
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Few-shot learning, Semantic segmentation, Attributes
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2109
Few-shot learning, Object detection, Transfer learning,
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Variational Prototype Inference for Few-Shot Semantic Segmentation,
WACV21(525-534)
IEEE DOI
2106
Image segmentation, Uncertainty, Semantics, Prototypes,
Benchmark testing, Probabilistic logic
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S3-Net: A Fast and Lightweight Video Scene Understanding Network by
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WACV21(3328-3336)
IEEE DOI
2106
Quantization (signal), Computational modeling, Semantics,
Graphics processing units, Streaming media, Feature extraction,
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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
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A modified Single-Shot multibox Detector for beyond Real-Time Object
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ICPR21(3977-3984)
IEEE DOI
2105
Detectors, Object detection, Real-time systems, Timing
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Few-shot Object Detection by Second-order Pooling,
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Springer DOI
2103
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ACCV20(III:155-170).
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2103
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2011
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One-shot Unsupervised Cross-Domain Detection,
ECCV20(XVI: 732-748).
Springer DOI
2010
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Wu, J.X.[Jia-Xi],
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Multi-scale Positive Sample Refinement for Few-shot Object Detection,
ECCV20(XVI: 456-472).
Springer DOI
2010
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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
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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
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Siam, M.,
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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
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Yang, Y.[Yuwei],
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MMMod20(II:76-87).
Springer DOI
2003
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Pérez-Rúa, J.,
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CVPR20(13843-13852)
IEEE DOI
2008
Object detection, Training, Feature extraction, Detectors,
Heating systems, Generators, Robots
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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
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Kang, B.,
Liu, Z.,
Wang, X.,
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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
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Chen, S.,
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Single-Shot Detector with Multiple Inference Paths,
ICIP19(2005-2009)
IEEE DOI
1910
Object detection, resource-constrained, deep networks
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Li, W.,
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A Single-Shot Object Detector with Feature Aggregation and
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ICIP19(3910-3914)
IEEE DOI
1910
Real-Time object detection, feature enhancement, feature aggregation
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Li, S.[Shuai],
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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
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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
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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 .