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Training, Graphics, Fuses, Memory management, Object detection,
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2111
Training, Knowledge engineering, Runtime, Fuses,
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MVA21(1-5)
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Correlation, Graphics processing units,
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WACV21(1159-1167)
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2106
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Dot Distance for Tiny Object Detection in Aerial Images,
EarthVision21(1192-1201)
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2109
Measurement, Object detection,
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Wang, J.W.[Jin-Wang],
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ICPR21(3791-3798)
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2105
Location awareness, Earth, Neural networks, Object detection,
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Ji, H.[Hong],
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ICPR21(803-810)
IEEE DOI
2105
Training, Image segmentation, Superresolution,
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Correlation-based ConvNet for Small Object Detection in Videos,
ICPR21(1979-1984)
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2105
Correlation, Viterbi algorithm, Object detection,
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Small Object Detection by Generative and Discriminative Learning,
ICPR21(1926-1933)
IEEE DOI
2105
Object detection, Detectors, Feature extraction, Generators,
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IEEE DOI
2009
Classification algorithms, Image segmentation, Shape,
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Liu, Z.,
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IPG-Net: Image Pyramid Guidance Network for Small Object Detection,
Anti-UAV20(4422-4430)
IEEE DOI
2008
Feature extraction, Object detection, Fuses, Semantics, Convolution,
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Chen, P.,
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Recursive Hybrid Fusion Pyramid Network for Real-Time Small Object
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LPCV20(1612-1621)
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Feature extraction, Object detection, Computational modeling, Iron,
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Satellite Imagery Multiscale Rapid Detection with Windowed Networks,
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application program interfaces,
geophysical image processing, geophysical techniques,
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Yang, X.,
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SCRDet: Towards More Robust Detection for Small, Cluttered and
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ICCV19(8231-8240)
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Code, Object Detection.
WWW Link. feature extraction, image fusion,
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ICCV19(6072-6080)
IEEE DOI
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learning (artificial intelligence), neural nets,
object detection, machine learning,
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Multi-scale Feature Fused Single Shot Detector for Small Object
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Yang, Z.X.[Zi-Xuan],
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ICIP19(86-90)
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1910
small object detection, high-resolution image, prior knowledge,
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LaLonde, R.,
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ClusterNet: Detecting Small Objects in Large Scenes by Exploiting
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CVPR18(4003-4012)
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Object detection, Detectors, Feature extraction,
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AttentionMask: Attentive, Efficient Object Proposal Generation Focusing
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CNN-based small object detection and visualization with feature
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IVCNZ17(1-5)
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cellular neural nets, feature extraction, object detection,
fined-tuned faster R-CNN, feature activation mapping,
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Zhou, X.Q.,
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Small Object Discovery and Recognition Using Actively Guided Robot,
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Segmenting Small Regions in the Presence of Noise,
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Fast and Subpixel Precise Blob Detection and Attribution,
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Chapter on 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture continues in
Maximally Stable Extremal Regions, MSER Descriptions .