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2204
Feature extraction, Object detection, Detectors, Semantics,
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2204
Object detection, Small object detection, Region search, Aerial images
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Interpolation, Optical feedback, Adaptive optics, Optical imaging,
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2206
Feature extraction, Object detection, Image color analysis,
Heuristic algorithms, Colored noise, Robustness, Task analysis,
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2206
Object detection, Small or tiny objects, Deep learning,
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Aerial images, Tiny object detection, Benchmark dataset.
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ICPR21(3791-3798)
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2105
Location awareness, Earth, Neural networks, Object detection,
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Small object detection, Data augmentation, Generative adversarial network
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Feature extraction, Spatiotemporal phenomena,
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CirSysVideo(32), No. 11, November 2022, pp. 7869-7879.
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2211
Object detection, Detectors, Sensitivity, Feature extraction,
Benchmark testing, Training, Measurement units, tiny objects
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Normalized inductive bias, Features fusion,
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Object detection, Noise reduction, Feature extraction, Detectors,
Task analysis, Noise measurement, Interference, Aerial images,
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AMMF: Attention-Based Multi-Phase Multi-Task Fusion for Small Contour
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2302
Feature extraction, Laser radar, Cameras, Multitasking, Fuses,
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Detection of targets with small image sizes,
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An Adaptive Adversarial Patch-Generating Algorithm for Defending
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Ye, L.H.[Li-Hua],
Enhanced semantic feature pyramid network for small object detection,
SP:IC(113), 2023, pp. 116919.
Elsevier DOI
2303
Feature pyramid network, Small object detection,
Semantic enhancement, Sub-pixel convolution, Deformable convolution
BibRef
Leng, J.[Jiaxu],
Mo, M.J.C.[Meng-Jing-Cheng],
Zhou, Y.H.[Ying-Hua],
Gao, C.Q.[Chen-Qiang],
Li, W.S.[Wei-Sheng],
Gao, X.B.[Xin-Bo],
Pareto Refocusing for Drone-View Object Detection,
CirSysVideo(33), No. 3, March 2023, pp. 1320-1334.
IEEE DOI
2303
Some regions have a lot of objects, some have none. Focus on the first.
Detectors, Object detection, Task analysis, Feature extraction,
Visualization, Drones, Image recognition, context learning
BibRef
Li, B.Y.[Bo-Yang],
Xiao, C.[Chao],
Wang, L.G.[Long-Guang],
Wang, Y.Q.[Ying-Qian],
Lin, Z.P.[Zai-Ping],
Li, M.[Miao],
An, W.[Wei],
Guo, Y.L.[Yu-Lan],
Dense Nested Attention Network for Infrared Small Target Detection,
IP(32), 2023, pp. 1745-1758.
IEEE DOI
2303
Feature extraction, Object detection, Shape, Clutter, Decoding,
Annotations, Training, Infrared small target detection, dataset
BibRef
Hua, X.[Xia],
Cui, X.P.[Xiao-Peng],
Xu, X.H.[Xing-Hua],
Qiu, S.H.[Shao-Hua],
Liang, Y.J.[Ying-Jie],
Bao, X.Q.[Xian-Qiang],
Li, Z.[Zhong],
Underwater object detection algorithm based on feature enhancement
and progressive dynamic aggregation strategy,
PR(139), 2023, pp. 109511.
Elsevier DOI
2304
Underwater image, Dynamic feature fusion,
Small object detection, Rapid spatial pyramid pooling, Feature enhancement
BibRef
Huang, Z.C.[Zhi-Cong],
Zheng, Z.J.[Zhi-Jie],
Zhao, J.W.[Jing-Wen],
Hu, H.F.[Hai-Feng],
Wang, Z.X.[Zi-Xin],
Chen, D.[Dihu],
PSA-Det3D: Pillar set abstraction for 3D object detection,
PRL(168), 2023, pp. 138-145.
Elsevier DOI
2304
Small object detection, 3D point cloud, Pillar query, Center estimation
BibRef
Sang, S.T.[Sheng-Tian],
Zhou, Y.[Yuyin],
Islam, M.T.[Md Tauhidul],
Xing, L.[Lei],
Small-Object Sensitive Segmentation Using Across Feature Map
Attention,
PAMI(45), No. 5, May 2023, pp. 6289-6306.
IEEE DOI
2304
Automobiles, Convolution, Object segmentation, Training,
Adaptation models, Decoding, Image resolution,
across feature map attention
BibRef
Sun, S.Y.[Sheng-Yin],
Liu, J.[Jun],
Sun, S.[Siyu],
Hyperspectral subpixel target detection based on interaction subspace
model,
PR(139), 2023, pp. 109464.
Elsevier DOI
2304
Subpixel target detection, Hyperspectral images,
Subspace model, Generalized likelihood ratio test (GLRT), Spectral variability
BibRef
He, J.[Ju],
Chen, J.F.[Jian-Feng],
Xu, H.[Hu],
Ayub, M.S.[Muhammad Saad],
Small Target Detection Method Based on Low-Rank Sparse Matrix
Factorization for Side-Scan Sonar Images,
RS(15), No. 8, 2023, pp. 2054.
DOI Link
2305
BibRef
Xu, C.Y.[Chen-Yu],
Zhao, E.[Erwei],
Zheng, W.[Wei],
Yang, Z.[Zhen],
Peng, X.D.[Xiao-Dong],
Niu, W.L.[Wen-Long],
A Multi-Frame Superposition Detection Method for Dim-Weak Point
Targets Based on Optimized Clustering Algorithm,
RS(15), No. 8, 2023, pp. 1991.
DOI Link
2305
BibRef
Tong, K.[Kang],
Wu, Y.[Yiquan],
Rethinking PASCAL-VOC and MS-COCO dataset for small object detection,
JVCIR(93), 2023, pp. 103830.
Elsevier DOI
2305
Data annotation, Small object detection, SDOD, Mini6K, Mini2022, Mini6KClean
BibRef
Su, S.P.[Sheng-Ping],
Niu, W.L.[Wen-Long],
Li, Y.Z.[Yan-Zhao],
Ren, C.X.[Chun-Xu],
Peng, X.D.[Xiao-Dong],
Zheng, W.[Wei],
Yang, Z.[Zhen],
Dim and Small Space-Target Detection and Centroid Positioning Based
on Motion Feature Learning,
RS(15), No. 9, 2023, pp. xx-yy.
DOI Link
2305
BibRef
Zhang, X.[Xi],
Zhang, Y.[Yanan],
Gao, T.[Tao],
Fang, Y.[Yong],
Chen, T.[Ting],
A Novel SSD-Based Detection Algorithm Suitable for Small Object,
IEICE(E106-D), No. 5, May 2023, pp. 625-634.
WWW Link.
2305
BibRef
Corsel, C.W.[Christof W.],
van Lier, M.[Michel],
Kampmeijer, L.[Leo],
Boehrer, N.[Nicolas],
Bakker, E.M.[Erwin M.],
Exploiting Temporal Context for Tiny Object Detection,
RealWorld23(1-11)
IEEE DOI
2302
Deep learning, Surveillance, Video sequences, Object detection,
Detectors, Feature extraction, Real-time systems
BibRef
Zhu, J.R.[Jing-Ru],
Wang, X.D.[Xian-Dong],
Liu, Y.[Yi],
Ji, Q.W.[Qian-Wei],
Zhao, Z.[Zhao],
Wang, S.K.[Sheng-Ke],
UavTinyDet: Tiny Object Detection in UAV Scenes,
ICIVC22(195-200)
IEEE DOI
2301
Training, Location awareness, Detectors, Object detection, Benchmark testing,
Feature extraction, Batteries, high-quality positive samples
BibRef
Huang, R.J.[Ren-Jie],
He, Y.T.[Yu-Ting],
Xiao, G.Q.[Guo-Qiang],
Shi, Y.G.[Yang-Guang],
Zheng, Y.Q.[Yong-Qiang],
Adaptive Tiny Object Detection for Improving Pest Detection,
ICPR22(4544-4551)
IEEE DOI
2212
Training, Heating systems, Adaptive systems,
Supervised learning, Semantics, Object detection
BibRef
Xu, C.[Chang],
Wang, J.W.[Jin-Wang],
Yang, W.[Wen],
Yu, H.[Huai],
Yu, L.[Lei],
Xia, G.S.[Gui-Song],
RFLA: Gaussian Receptive Field Based Label Assignment for Tiny Object
Detection,
ECCV22(IX:526-543).
Springer DOI
2211
BibRef
Han, K.Y.[Kun-Yang],
Liew, J.H.[Jun Hao],
Feng, J.S.[Jia-Shi],
Tian, H.[Huawei],
Zhao, Y.[Yao],
Wei, Y.C.[Yun-Chao],
Slim Scissors: Segmenting Thin Object from Synthetic Background,
ECCV22(XXIX:379-395).
Springer DOI
2211
BibRef
Akyon, F.C.[Fatih Cagatay],
Altinuc, S.O.[Sinan Onur],
Temizel, A.[Alptekin],
Slicing Aided Hyper Inference and Fine-Tuning for Small Object
Detection,
ICIP22(966-970)
IEEE DOI
2211
Training, Image segmentation, Image resolution, Surveillance,
Computational modeling, Pipelines, Memory management, xview
BibRef
Zhang, M.J.[Ming-Jin],
Zhang, R.[Rui],
Yang, Y.X.[Yu-Xiang],
Bai, H.C.[Hai-Chen],
Zhang, J.[Jing],
Guo, J.[Jie],
ISNet: Shape Matters for Infrared Small Target Detection,
CVPR22(867-876)
IEEE DOI
2210
Shape, Target recognition, Fuses, Image edge detection,
Object detection, Feature extraction, Clutter,
Low-level vision
BibRef
Yang, C.[Chenhongyi],
Huang, Z.[Zehao],
Wang, N.[Naiyan],
QueryDet: Cascaded Sparse Query for Accelerating High-Resolution
Small Object Detection,
CVPR22(13658-13667)
IEEE DOI
2210
Point cloud compression, Pipelines, Object detection, Detectors,
Feature extraction, Real-time systems,
retrieval
BibRef
Liu, Z.[Ze],
Lin, Y.T.[Yu-Tong],
Cao, Y.[Yue],
Hu, H.[Han],
Wei, Y.X.[Yi-Xuan],
Zhang, Z.[Zheng],
Lin, S.[Stephen],
Guo, B.N.[Bai-Ning],
Swin Transformer: Hierarchical Vision Transformer using Shifted
Windows,
ICCV21(9992-10002)
IEEE DOI
WWW Link.
DOI Link
2203
Award, Marr Prize. Image segmentation, Visualization, Computational modeling,
Semantics, Object detection, Computer architecture,
grouping and shape
BibRef
Swin-Transformer-Object-Detection,
Online2021.
WWW Link.
Code, Swin Transform.
BibRef
2100
Kang, S.[Sheng],
Wang, Y.[Yang],
Cao, Y.[Yang],
Zha, Z.J.[Zheng-Jun],
Long-Range Feature Dependencies Capturing for Low-Resolution Image
Classification,
MMMod22(II:3-14).
Springer DOI
2203
BibRef
Hu, Y.X.[Ya-Xuan],
Dai, Y.H.[Yue-Hong],
Wang, Z.X.[Zhong-Xiang],
Real-time Detection of Tiny Objects Based on a Weighted Bi-directional
FPN,
MMMod22(I:3-14).
Springer DOI
2203
Best paper section
BibRef
Feng, C.J.[Cheng-Jian],
Zhong, Y.J.[Yu-Jie],
Huang, W.L.[Wei-Lin],
Exploring Classification Equilibrium in Long-Tailed Object Detection,
ICCV21(3397-3406)
IEEE DOI
2203
Training, Codes, Computational modeling, Training data,
Object detection, Detectors,
BibRef
Seo, J.,
Kim, T.,
Comparison of Pixel-based and Feature-based Approach for Small Object
Change Detection,
ISPRS21(B3-2021: 353-357).
DOI Link
2201
BibRef
Chen, J.[Jun],
Mai, H.[HongSheng],
Luo, L.[Linbo],
Chen, X.Q.[Xiao-Qiang],
Wu, K.[Kangle],
Effective Feature Fusion Network in BIFPN for Small Object Detection,
ICIP21(699-703)
IEEE DOI
2201
Training, Graphics, Fuses, Memory management, Object detection,
Feature extraction, Remote sensing, deep learning,
feature fusion
BibRef
Yoo, J.[Jaehyoung],
Lee, D.W.[Dong-Wook],
Son, C.Y.[Chang-Yong],
Jung, S.[Sangil],
Yoo, B.[ByungIn],
Choi, C.K.[Chang-Kyu],
Han, J.J.[Jae-Joon],
Han, B.H.[Bo-Hyung],
RaScaNet: Learning Tiny Models by Raster-Scanning Images,
CVPR21(13668-13677)
IEEE DOI
2111
Image sensors, Deep learning, Visualization, Memory management,
Signal processing algorithms, Feature extraction, System-on-chip
BibRef
Qi, L.[Lu],
Kuen, J.[Jason],
Gu, J.[Jiuxiang],
Lin, Z.[Zhe],
Wang, Y.[Yi],
Chen, Y.[Yukang],
Li, Y.W.[Yan-Wei],
Jia, J.Y.[Jia-Ya],
Multi-Scale Aligned Distillation for Low-Resolution Detection,
CVPR21(14438-14448)
IEEE DOI
2111
Training, Knowledge engineering, Runtime, Fuses,
Computational modeling, Object detection, Feature extraction
BibRef
Huang, D.M.[Dong-Mei],
Zhang, J.[Jihan],
Hu, T.T.[Ting-Ting],
Fuchikami, R.J.[Ryu-Ji],
Ikenaga, T.[Takashi],
Contextual Information based Network with High-Frequency Feature
Fusion for High Frame Rate and Ultra-Low Delay Small-Scale Object
Detection,
MVA21(1-5)
DOI Link
2109
Correlation, Graphics processing units,
Object detection, Feature extraction, Delays, High frequency
BibRef
Gong, Y.[Yuqi],
Yu, X.H.[Xue-Hui],
Ding, Y.[Yao],
Peng, X.K.[Xiao-Ke],
Zhao, J.[Jian],
Han, Z.J.[Zhen-Jun],
Effective Fusion Factor in FPN for Tiny Object Detection,
WACV21(1159-1167)
IEEE DOI
2106
Statistical analysis, Estimation,
Object detection, Detectors, Propulsion
BibRef
Ji, H.[Hong],
Gao, Z.[Zhi],
Liu, X.D.[Xiao-Dong],
Zhang, Y.J.[Yong-Jun],
Mei, T.C.[Tian-Can],
Small Object Detection Leveraging on Simultaneous Super-resolution,
ICPR21(803-810)
IEEE DOI
2105
Training, Image segmentation, Superresolution,
Object detection, Detectors, Generative adversarial networks
BibRef
Bosquet, B.[Brais],
Mucientes, M.[Manuel],
Brea, V.M.[Víctor M.],
Correlation-based ConvNet for Small Object Detection in Videos,
ICPR21(1979-1984)
IEEE DOI
2105
Correlation, Viterbi algorithm, Object detection,
Pattern recognition, Convolutional neural networks
BibRef
Gu, Y.[Yi],
Li, J.[Jie],
Wu, C.[Chentao],
Jia, W.J.[Wei-Jia],
Chen, J.P.[Jian-Ping],
Small Object Detection by Generative and Discriminative Learning,
ICPR21(1926-1933)
IEEE DOI
2105
Object detection, Detectors, Feature extraction, Generators,
Pattern recognition, High frequency, Convolutional neural networks
BibRef
Drid, K.[Khaoula],
Allaoui, M.[Mebarka],
Kherfi, M.L.[Mohammed Lamine],
Object Detector Combination for Increasing Accuracy and Detecting More
Overlapping Objects,
ICISP20(290-296).
Springer DOI
2009
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Zhang, J.Y.[Jia-Yi],
Liu, Y.[Ying],
Liu, Z.Q.[Zhi-Qiang],
An Improved FAsT_Match Algorithm for Micro Parts Detection,
ICIVC20(24-28)
IEEE DOI
2009
Classification algorithms, Image segmentation, Shape,
Image recognition, Approximation algorithms, Target tracking,
micro assembly
BibRef
Liu, Z.,
Gao, G.,
Sun, L.,
Fang, L.,
IPG-Net: Image Pyramid Guidance Network for Small Object Detection,
Anti-UAV20(4422-4430)
IEEE DOI
2008
Feature extraction, Object detection, Fuses, Semantics, Convolution,
Task analysis, Streaming media
BibRef
Chen, P.,
Hsieh, J.,
Wang, C.,
Liao, H.M.[H. Mark],
Recursive Hybrid Fusion Pyramid Network for Real-Time Small Object
Detection on Embedded Devices,
LPCV20(1612-1621)
IEEE DOI
2008
Feature extraction, Object detection, Computational modeling, Iron,
Detectors, Computational efficiency, Real-time systems
BibRef
van Etten, A.[Adam],
Satellite Imagery Multiscale Rapid Detection with Windowed Networks,
WACV19(735-743)
IEEE DOI
1904
Small objects.
application program interfaces,
geophysical image processing, geophysical techniques,
BibRef
Yang, X.,
Yang, J.,
Yan, J.,
Zhang, Y.,
Zhang, T.,
Guo, Z.,
Sun, X.,
Fu, K.,
SCRDet: Towards More Robust Detection for Small, Cluttered and
Rotated Objects,
ICCV19(8231-8240)
IEEE DOI
2004
Code, Object Detection.
WWW Link. feature extraction, image fusion,
object detection, SCRDet, robust detection, natural images, Semantics
BibRef
Liu, L.,
Muelly, M.,
Deng, J.,
Pfister, T.,
Li, L.,
Generative Modeling for Small-Data Object Detection,
ICCV19(6072-6080)
IEEE DOI
2004
learning (artificial intelligence), neural nets,
object detection, machine learning,
Generative adversarial networks
BibRef
Razaak, M.[Manzoor],
Kerdegari, H.[Hamideh],
Argyriou, V.[Vasileios],
Remagnino, P.[Paolo],
Multi-scale Feature Fused Single Shot Detector for Small Object
Detection in UAV Images,
CVS19(778-786).
Springer DOI
1912
BibRef
Yang, Z.X.[Zi-Xuan],
Chai, X.J.[Xiu-Juan],
Wang, R.P.[Rui-Ping],
Guo, W.J.[Wei-Jun],
Wang, W.X.[Wei-Xuan],
Pu, L.[Li],
Chen, X.L.[Xi-Lin],
Prior Knowledge Guided Small Object Detection on High-Resolution
Images,
ICIP19(86-90)
IEEE DOI
1910
small object detection, high-resolution image, prior knowledge,
convolutional neural network
BibRef
LaLonde, R.,
Zhang, D.,
Shah, M.,
ClusterNet: Detecting Small Objects in Large Scenes by Exploiting
Spatio-Temporal Information,
CVPR18(4003-4012)
IEEE DOI
1812
Object detection, Detectors, Feature extraction,
Proposals, Search problems, Cameras
BibRef
Wilms, C.[Christian],
Frintrop, S.[Simone],
AttentionMask: Attentive, Efficient Object Proposal Generation Focusing
on Small Objects,
ACCV18(II:678-694).
Springer DOI
1906
BibRef
Menikdiwela, M.,
Nguyen, C.,
Li, H.,
Shaw, M.,
CNN-based small object detection and visualization with feature
activation mapping,
IVCNZ17(1-5)
IEEE DOI
1902
cellular neural nets, feature extraction, object detection,
fined-tuned faster R-CNN, feature activation mapping,
feature activation map
BibRef
Zhou, X.Q.,
Zou, Y.X.,
Wang, Y.,
Accurate small object detection via density map aided saliency
estimation,
ICIP17(425-429)
IEEE DOI
1803
Estimation, Image reconstruction, Image segmentation,
Object detection, Task analysis, Training,
superpixel
BibRef
Mittal, S.[Sudhandhu],
Karthik, M.S.[M. Siva],
Kumar, S.[Suryansh],
Krishna, K.M.[K. Madhava],
Small Object Discovery and Recognition Using Actively Guided Robot,
ICPR14(4334-4339)
IEEE DOI
1412
Accuracy
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Razakarivony, S.[Sebastien],
Jurie, F.[Frederic],
Discriminative Autoencoders for Small Targets Detection,
ICPR14(3528-3533)
IEEE DOI
1412
Manifolds
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Lin, T.[Tao],
Marot, J.[Julien],
Bourennane, S.[Salah],
Small Target Detection Improvement in Hyperspectral Image,
ACIVS13(460-469).
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1311
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Samur, R.,
Zagorodnov, V.,
Segmenting Small Regions in the Presence of Noise,
ICIP05(II: 1254-1257).
IEEE DOI
0512
BibRef
Hinz, S.,
Fast and Subpixel Precise Blob Detection and Attribution,
ICIP05(III: 457-460).
IEEE DOI
0512
BibRef
Chapter on 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture continues in
Maximally Stable Extremal Regions, MSER Descriptions .