7.1.10.3 Small Objects, Detect Small Objects

Chapter Contents (Back)
Object Detection. Small Objects.
See also ATR -- Small Targets IR, Infra-Red, Thermal, Applications.
See also YOLO, You Only Look Once, Family Object Detection.

Shirvaikar, M.V.[Mukul V.], and Trivedi, M.M.[Mohan M.],
A Neural Network Filter to Detect Small Targets in High-Clutter Backgrounds,
TNN(6), No. 1, January 1995, pp. 252-257. BibRef 9501

French, P.A., Zeidler, J.R., Ku, W.H.,
Enhanced Detectability of Small Objects in Correlated Clutter Using an Improved 2-D Adaptive Lattice Algorithm,
IP(6), No. 3, March 1997, pp. 383-397.
IEEE DOI 9703
< BibRef
Earlier:
An improved 2-D adaptive lattice filtering algorithm and its application to detection of small objects in correlated clutter,
ICIP94(I: 765-769).
IEEE DOI 9411
BibRef

Silva, D.M., Abdou, I.E., Warren, R.E.,
Optimum Detection of Small Targets in A Cluttered Background,
OptEng(37), No. 1, January 1998, pp. 83-92. 9802
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Chapple, P.B., Bertilone, D.C., Caprari, R.S., Newsam, G.N.,
Stochastic model-based processing for detection of small targets in non-gaussian natural imagery,
IP(10), No. 4, April 2001, pp. 554-564.
IEEE DOI 0104
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Segl, K.[Karl], Kaufmann, H.[Hermann],
Detection of small objects from high-resolution panchromatic satellite imagery based on supervised image segmentation,
GeoRS(39), No. 9, September 2001, pp. 2080-2083.
IEEE Top Reference. 0111
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Abe, D.[Daisuke], Segawa, E.[Eigo], Nakayama, O.[Osafumi], Shiohara, M.[Morito], Sasaki, S.[Shigeru], Sugano, N.[Nobuyuki], Kanno, H.[Hajime],
Robust Small-Object Detection for Outdoor Wide-Area Surveillance,
IEICE(E91-D), No. 7, July 2008, pp. 1922-1928.
DOI Link 0807
BibRef

Bai, X.Z.[Xiang-Zhi], Zhou, F.[Fugen],
Analysis of new top-hat transformation and the application for infrared dim small target detection,
PR(43), No. 6, June 2010, pp. 2145-2156.
Elsevier DOI 1003
Top-hat transformation; Structuring element; Infrared dim small target; Target detection BibRef

Deng, H.[He], Wei, Y.[Yantao], Tong, M.[Mingwen],
Background suppression of small target image based on fast local reverse entropy operator,
IET-CV(7), No. 5, October 2013, pp. 405-413.
DOI Link 1402
entropy BibRef

Zhang, M., Wu, T., Beeman, S.C., Cullen-McEwen, L., Bertram, J.F., Charlton, J.R., Baldelomar, E., Bennett, K.M.,
Efficient Small Blob Detection Based on Local Convexity, Intensity and Shape Information,
MedImg(35), No. 4, April 2016, pp. 1127-1137.
IEEE DOI 1604
biomedical MRI BibRef

Park, J.[Jinhee], Kwon, D.[Dokyeong], Choi, B.W.[Bo Won], Kim, G.Y.[Ga Young], Kim, K.Y.[Kwang Yong], Kwon, J.[Junseok],
Small object segmentation with fully convolutional network based on overlapping domain decomposition,
MVA(30), No. 4, June 2019, pp. 707-716.
Springer DOI 1906
BibRef

Shi, S., Liang, X., Shui, P., Zhang, J., Zhang, S.,
Low-Velocity Small Target Detection With Doppler-Guided Retrospective Filter in High-Resolution Radar at Fast Scan Mode,
GeoRS(57), No. 11, November 2019, pp. 8937-8953.
IEEE DOI 1911
Clutter, Sea surface, Market research, Radar clutter, Doppler effect, Radar detection, Doppler-guided retrospective filter (DGRF), structural trend BibRef

Guo, L.[Lie], Wang, D.X.[Dong-Xing], Li, L.H.[Lin-Hui], Feng, J.D.[Jin-Dun],
Accurate and fast single shot multibox detector,
IET-CV(14), No. 6, September 2020, pp. 391-398.
DOI Link 2010
Context enhancement. BibRef

Courtrai, L.[Luc], Pham, M.T.[Minh-Tan], Lefèvre, S.[Sébastien],
Small Object Detection in Remote Sensing Images Based on Super-Resolution with Auxiliary Generative Adversarial Networks,
RS(12), No. 19, 2020, pp. xx-yy.
DOI Link 2010
BibRef

Uzair, M., Brinkworth, R.S., Finn, A.,
Bio-Inspired Video Enhancement for Small Moving Target Detection,
IP(30), 2021, pp. 1232-1244.
IEEE DOI 2012
Object detection, Cameras, Photoreceptors, Biological system modeling, Computational modeling, background modeling BibRef

Stojnic, V.[Vladan], Risojevic, V.[Vladimir], Muštra, M.[Mario], Jovanovic, V.[Vedran], Filipi, J.[Janja], Kezic, N.[Nikola], Babic, Z.[Zdenka],
A Method for Detection of Small Moving Objects in UAV Videos,
RS(13), No. 4, 2021, pp. xx-yy.
DOI Link 2103
BibRef

Hou, Q.S.[Qing-Shan], Xing, J.S.[Jin-Sheng],
Special Issue Retraction: KSSD: Single-stage multi-object detection algorithm with higher accuracy,
IET-IPR(17), No. 1, January 2023, pp. 301.
DOI Link 2301
BibRef
And: IET-IPR(14), No. 15, 15 December 2020, pp. 3651-3661.
DOI Link 2103
Kullback-Leibler Single Shot Multibox Detector. For Small and medium objects. BibRef

Liu, B.Y.[Bi-Yuan], Chen, H.X.[Huai-Xin], Huang, Z.[Zhou], Liu, X.[Xing], Yang, Y.Z.[Yun-Zhi],
ZoomInNet: A Novel Small Object Detector in Drone Images with Cross-Scale Knowledge Distillation,
RS(13), No. 6, 2021, pp. xx-yy.
DOI Link 2104
BibRef

Liu, S.[Shuai], Tang, J.[Jialan],
Modified Deep Reinforcement Learning with Efficient Convolution Feature for Small Target Detection in VHR Remote Sensing Imagery,
IJGI(10), No. 3, 2021, pp. xx-yy.
DOI Link 2104
BibRef

Zheng, Q.Y.[Qi-Yuan], Chen, Y.[Ying],
Interactive multi-scale feature representation enhancement for small object detection,
IVC(108), 2021, pp. 104128.
Elsevier DOI 2104
Object detection, Small objects, Deep learning, Multi-scale feature fusion BibRef

Jia, F.W.[Feng-Wei], Wang, X.[Xuan], Guan, J.[Jian], Li, H.[Huale], Qiu, C.[Chen], Qi, S.H.[Shu-Han],
WRGPruner: A new model pruning solution for tiny salient object detection,
IVC(109), 2021, pp. 104143.
Elsevier DOI 2105
Model compression, Model pruning, Salient objects detection, Small objects detection BibRef

Bosquet, B.[Brais], Mucientes, M.[Manuel], Brea, V.M.[Víctor M.],
STDnet-ST: Spatio-temporal ConvNet for small object detection,
PR(116), 2021, pp. 107929.
Elsevier DOI 2106
Small object detection, Spatio-temporal convolutional network, Object linking BibRef

Li, Z.K.[Zhao-Kun], Liu, X.L.[Xue-Liang], Zhao, Y.[Ye], Liu, B.[Bo], Huang, Z.[Zhen], Hong, R.C.[Ri-Chang],
A lightweight multi-scale aggregated model for detecting aerial images captured by UAVs,
JVCIR(77), 2021, pp. 103058.
Elsevier DOI 2106
Objects of multiple scales. Multi-scale. Aerial images, UAVs, Small-size targets, Mutil-scale aggregation, Attention, Model compression BibRef

Lee, G.[Geonsoo], Hong, S.[Sungeun], Cho, D.H.[Dong-Hyeon],
Self-Supervised Feature Enhancement Networks for Small Object Detection in Noisy Images,
SPLetters(28), 2021, pp. 1026-1030.
IEEE DOI 2106
Feature extraction, Object detection, Noise measurement, Training, Detectors, Task analysis, Visualization, Small object detection, noisy image BibRef

Liu, G.[Gen], Han, J.[Jin], Rong, W.Z.[Wen-Zhong],
Feedback-driven loss function for small object detection,
IVC(111), 2021, pp. 104197.
Elsevier DOI 2106
Small object detection, Loss function, Feedback-driven, Loss distribution balance BibRef

Wu, J.Q.[Jing-Qian], Xu, S.B.[Shi-Biao],
From Point to Region: Accurate and Efficient Hierarchical Small Object Detection in Low-Resolution Remote Sensing Images,
RS(13), No. 13, 2021, pp. xx-yy.
DOI Link 2107
BibRef

He, Z.[Zheng], Huang, L.[Li], Zeng, W.J.[Wei-Jiang], Zhang, X.N.[Xi-Ning], Jiang, Y.X.[Yong-Xin], Zou, Q.[Qin],
Elongated Small Object Detection from Remote Sensing Images Using Hierarchical Scale-Sensitive Networks,
RS(13), No. 16, 2021, pp. xx-yy.
DOI Link 2109
BibRef

Ezzy, H.[Haitham], Charter, M.[Motti], Bonfante, A.[Antonello], Brook, A.[Anna],
How the Small Object Detection via Machine Learning and UAS-Based Remote-Sensing Imagery Can Support the Achievement of SDG2: A Case Study of Vole Burrows,
RS(13), No. 16, 2021, pp. xx-yy.
DOI Link 2109
BibRef

Huang, X.[Xiao], Qiao, H.[Hong], Li, H.[Hui], Jiang, Z.H.[Zhi-Hong],
A bioinspired retinal neural network for accurately extracting small-target motion information in cluttered backgrounds,
IVC(114), 2021, pp. 104266.
Elsevier DOI 2109
Bioinspiration, Small-target motion detector, Robotic visual perception, Spatiotemporal energy model BibRef

Yin, Q.J.[Qun-Jie], Yang, W.Z.[Wen-Zhu], Ran, M.Y.[Meng-Ying], Wang, S.[Sile],
FD-SSD: An improved SSD object detection algorithm based on feature fusion and dilated convolution,
SP:IC(98), 2021, pp. 116402.
Elsevier DOI 2109
Small object detection, Multi-layer feature fusion, Multi branch residual dilated convolution, Context information enhancement BibRef

Mu, J.Z.[Jin-Zhen], Li, S.[Shuang], Liu, Z.M.[Zong-Ming], Zhou, Y.[Yan],
Integration of gradient guidance and edge enhancement into super-resolution for small object detection in aerial images,
IET-IPR(15), No. 13, 2021, pp. 3037-3052.
DOI Link 2110
BibRef

Sun, L.[Long], Chen, J.[Jie], Feng, D.Z.[Da-Zheng], Xing, M.D.[Meng-Dao],
Parallel Ensemble Deep Learning for Real-Time Remote Sensing Video Multi-Target Detection,
RS(13), No. 21, 2021, pp. xx-yy.
DOI Link 2112
Small targets, from UAV image. Real-time. BibRef

Chen, D.L.[De-Lei], Zhang, L.[Lei], Huang, H.[Hua],
Robust Extraction and Super-Resolution of Low-Resolution Flying Airplane From Satellite Video,
GeoRS(60), 2022, pp. 1-16.
IEEE DOI 2112
Airplanes, Satellites, Image resolution, Atmospheric modeling, Shape, Image reconstruction, Superresolution, Airplane, matting, multiframe, symmetry BibRef

Zhang, J.[Jinpu], Zhang, L.[Lei], Liu, T.Y.[Tian-Yu], Wang, Y.H.[Yue-Huan],
YOLSO: You Only Look Small Object,
JVCIR(81), 2021, pp. 103348.
Elsevier DOI 2112
Small object detection, Background-aware, Granular feature aggregation, Accurate location, High speed BibRef

Chen, G.[Guang], Wang, H.T.[Hai-Tao], Chen, K.[Kai], Li, Z.J.[Zhi-Jun], Song, Z.[Zida], Liu, Y.L.[Yin-Long], Chen, W.K.[Wen-Kai], Knoll, A.[Alois],
A Survey of the Four Pillars for Small Object Detection: Multiscale Representation, Contextual Information, Super-Resolution, and Region Proposal,
SMCS(52), No. 2, February 2022, pp. 936-953.
IEEE DOI 2201
Object detection, Feature extraction, Detectors, Image resolution, Machine learning, Roads, Task analysis, Contextual information, super-resolution BibRef

Fang, X.L.[Xiao-Lin], Hu, F.[Fan], Yang, M.[Ming], Zhu, T.X.[Tong-Xin], Bi, R.[Ran], Zhang, Z.H.[Zeng-Hui], Gao, Z.Y.[Zhi-Yuan],
Small object detection in remote sensing images based on super-resolution,
PRL(153), 2022, pp. 107-112.
Elsevier DOI 2201
Remote sensing images, Object detection, Super-Resolution BibRef

Qi, G.Q.[Guan-Qiu], Zhang, Y.C.[Yuan-Chuan], Wang, K.[Kunpeng], Mazur, N.[Neal], Liu, Y.[Yang], Malaviya, D.[Devanshi],
Small Object Detection Method Based on Adaptive Spatial Parallel Convolution and Fast Multi-Scale Fusion,
RS(14), No. 2, 2022, pp. xx-yy.
DOI Link 2201
BibRef

Gao, X.[Xin], Ram, S.[Sundaresh], Philip, R.C.[Rohit C.], Rodríguez, J.J.[Jeffrey J.], Szep, J.[Jeno], Shao, S.[Sicong], Satam, P.[Pratik], Pacheco, J.[Jesús], Hariri, S.[Salim],
Selecting Post-Processing Schemes for Accurate Detection of Small Objects in Low-Resolution Wide-Area Aerial Imagery,
RS(14), No. 2, 2022, pp. xx-yy.
DOI Link 2201
BibRef

Huang, Z.H.[Zhen-Hua], Yang, S.Z.[Shun-Zhi], Zhou, M.C.[Meng-Chu], Li, Z.T.[Zhe-Tao], Gong, Z.[Zheng], Chen, Y.[Yunwen],
Feature Map Distillation of Thin Nets for Low-Resolution Object Recognition,
IP(31), 2022, pp. 1364-1379.
IEEE DOI 2202
Knowledge engineering, Noise measurement, Feature extraction, Training, Object recognition, Image reconstruction, machine learning BibRef

Su, N.[Nan], He, J.[Jiayue], Yan, Y.M.[Yi-Ming], Zhao, C.H.[Chun-Hui], Xing, X.W.[Xiang-Wei],
SII-Net: Spatial Information Integration Network for Small Target Detection in SAR Images,
RS(14), No. 3, 2022, pp. xx-yy.
DOI Link 2202
BibRef

Seo, J.[Junghoon], Park, W.[Wonkyu], Kim, T.[Taejung],
Feature-Based Approach to Change Detection of Small Objects from High-Resolution Satellite Images,
RS(14), No. 3, 2022, pp. xx-yy.
DOI Link 2202
BibRef

Zhang, Y.[Yan], Liu, X.[Xi], Wa, S.Y.[Shi-Yun], Chen, S.Y.[Shu-Yu], Ma, Q.[Qin],
GANsformer: A Detection Network for Aerial Images with High Performance Combining Convolutional Network and Transformer,
RS(14), No. 4, 2022, pp. xx-yy.
DOI Link 2202
BibRef

Zhou, L.M.[Li-Ming], Zheng, C.[Chang], Yan, H.X.[Hao-Xin], Zuo, X.Y.[Xian-Yu], Liu, Y.[Yang], Qiao, B.[Baojun], Yang, Y.[Yong],
RepDarkNet: A Multi-Branched Detector for Small-Target Detection in Remote Sensing Images,
IJGI(11), No. 3, 2022, pp. xx-yy.
DOI Link 2204
BibRef

Deng, C.F.[Chun-Fang], Wang, M.M.[Meng-Meng], Liu, L.[Liang], Liu, Y.[Yong], Jiang, Y.[Yunliang],
Extended Feature Pyramid Network for Small Object Detection,
MultMed(24), No. 2022, pp. 1968-1979.
IEEE DOI 2204
Feature extraction, Object detection, Detectors, Semantics, Superresolution, Signal resolution, Pipelines, deep learning, Small object detection BibRef

Koyun, O.C.[Onur Can], Keser, R.K.[Reyhan Kevser], Akkaya, I.B.[Ibrahim Batuhan], Töreyin, B.U.[Behçet Ugur],
Focus-and-Detect: A small object detection framework for aerial images,
SP:IC(104), 2022, pp. 116675.
Elsevier DOI 2204
Object detection, Small object detection, Region search, Aerial images BibRef

Zhu, R.X.[Rui-Xi], Zhuang, L.[Long],
Unsupervised Infrared Small-Object-Detection Approach of Spatial-Temporal Patch Tensor and Object Selection,
RS(14), No. 7, 2022, pp. xx-yy.
DOI Link 2205
BibRef

Qin, H.[Hong], Wu, Y.R.[Yi-Rong], Dong, F.M.[Fang-Min], Sun, S.F.[Shui-Fa],
Dense sampling and detail enhancement network: Improved small object detection based on dense sampling and detail enhancement,
IET-CV(16), No. 4, 2022, pp. 307-316.
DOI Link 2205
dense sampling, detail enhancement, object detection BibRef

Hu, M.S.[Meng-Shun], Xiao, J.[Jing], Liao, L.[Liang], Wang, Z.[Zheng], Lin, C.W.[Chia-Wen], Wang, M.[Mi], Satoh, S.[Shin'Ichi],
Capturing Small, Fast-Moving Objects: Frame Interpolation via Recurrent Motion Enhancement,
CirSysVideo(32), No. 6, June 2022, pp. 3390-3406.
IEEE DOI 2206
Interpolation, Optical feedback, Adaptive optics, Optical imaging, Kernel, Motion estimation, Estimation, Video frame interpolation, large motions BibRef

Wang, J.Y.[Jing-Yu], Zhang, G.J.[Guo-Jun], Zhang, K.[Ke], Zhao, Y.[Yue], Wang, Q.[Qi], Li, X.L.[Xue-Long],
Detection of Small Aerial Object Using Random Projection Feature With Region Clustering,
Cyber(52), No. 5, May 2022, pp. 3957-3970.
IEEE DOI 2206
Feature extraction, Object detection, Image color analysis, Heuristic algorithms, Colored noise, Robustness, Task analysis, variable search region clustering (VSRC) BibRef

Tong, K.[Kang], Wu, Y.[Yiquan],
Deep learning-based detection from the perspective of small or tiny objects: A survey,
IVC(123), 2022, pp. 104471.
Elsevier DOI 2206
Object detection, Small or tiny objects, Deep learning, Datasets, Convolutional neural networks BibRef

Xu, C.[Chang], Wang, J.W.[Jin-Wang], Yang, W.[Wen], Yu, H.[Huai], Yu, L.[Lei], Xia, G.S.[Gui-Song],
Detecting tiny objects in aerial images: A normalized Wasserstein distance and a new benchmark,
PandRS(190), 2022, pp. 79-93.
Elsevier DOI 2208
BibRef
Earlier: A1, A2, A3, A5, Only:
Dot Distance for Tiny Object Detection in Aerial Images,
EarthVision21(1192-1201)
IEEE DOI 2109
Aerial images, Tiny object detection, Benchmark dataset. Measurement, Object detection, Detectors, Euclidean distance, Pattern recognition BibRef

Wang, J.W.[Jin-Wang], Yang, W.[Wen], Guo, H.[Haowen], Zhang, R.X.[Rui-Xiang], Xia, G.S.[Gui-Song],
Tiny Object Detection in Aerial Images,
ICPR21(3791-3798)
IEEE DOI 2105
Location awareness, Earth, Neural networks, Object detection, Detectorss, Performance gain, Benchmark testing, convolutional neural network BibRef

Bosquet, B.[Brais], Cores, D.[Daniel], Seidenari, L.[Lorenzo], Brea, V.M.[Víctor M.], Mucientes, M.[Manuel], del Bimbo, A.[Alberto],
A full data augmentation pipeline for small object detection based on generative adversarial networks,
PR(133), 2023, pp. 108998.
Elsevier DOI 2210
Small object detection, Data augmentation, Generative adversarial network BibRef

Gao, J.Y.[Jin-Yan], Wang, L.Y.[Lu-Yuan], Yu, J.Y.[Ji-Yang], Pan, Z.S.[Zhong-Shi],
Structure Tensor-Based Infrared Small Target Detection Method for a Double Linear Array Detector,
RS(14), No. 19, 2022, pp. xx-yy.
DOI Link 2210
BibRef

Xie, J.Y.[Jia-Yang], Gao, C.X.[Cheng-Xing], Wu, J.F.[Jun-Feng], Shi, Z.G.[Zhi-Guo], Chen, J.M.[Ji-Ming],
Small Low-Contrast Target Detection: Data-Driven Spatiotemporal Feature Fusion and Implementation,
Cyber(52), No. 11, November 2022, pp. 11847-11858.
IEEE DOI 2211
Feature extraction, Spatiotemporal phenomena, Support vector machines, Object detection, Drones, Videos, target detection BibRef

Qian, W.[Wen], Yang, X.[Xue], Peng, S.[Silong], Zhang, X.J.[Xiu-Juan], Yan, J.C.[Jun-Chi],
RSDet++: Point-Based Modulated Loss for More Accurate Rotated Object Detection,
CirSysVideo(32), No. 11, November 2022, pp. 7869-7879.
IEEE DOI 2211
Object detection, Detectors, Sensitivity, Feature extraction, Benchmark testing, Training, Measurement units, tiny objects BibRef

Shi, T.J.[Tian-Jun], Gong, J.[Jinnan], Hu, J.M.[Jian-Ming], Zhi, X.Y.[Xi-Yang], Zhang, W.[Wei], Zhang, Y.[Yin], Zhang, P.F.[Peng-Fei], Bao, G.Z.[Guang-Zheng],
Feature-Enhanced CenterNet for Small Object Detection in Remote Sensing Images,
RS(14), No. 21, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Dubey, S.[Shikha], Olimov, F.[Farrukh], Rafique, M.A.[Muhammad Aasim], Jeon, M.[Moongu],
Improving small objects detection using transformer,
JVCIR(89), 2022, pp. 103620.
Elsevier DOI 2212
Normalized inductive bias, Features fusion, Small-objects detection, Transformer, Self-attention BibRef

Yang, X.[Xue], Yan, J.C.[Jun-Chi], Liao, W.L.[Wen-Long], Yang, X.K.[Xiao-Kang], Tang, J.[Jin], He, T.[Tao],
SCRDet++: Detecting Small, Cluttered and Rotated Objects via Instance-Level Feature Denoising and Rotation Loss Smoothing,
PAMI(45), No. 2, February 2023, pp. 2384-2399.
IEEE DOI 2301
Object detection, Noise reduction, Feature extraction, Detectors, Task analysis, Noise measurement, Interference, Aerial images, rotation detection BibRef

Xie, B.Q.[Bang-Quan], Yang, Z.M.[Zong-Ming], Yang, L.[Liang], Wei, A.[Ailin], Weng, X.X.[Xiao-Xiong], Li, B.[Bing],
AMMF: Attention-Based Multi-Phase Multi-Task Fusion for Small Contour Object 3D Detection,
ITS(24), No. 2, February 2023, pp. 1692-1701.
IEEE DOI 2302
Feature extraction, Laser radar, Cameras, Multitasking, Fuses, Proposals, Attention mechanism, sensor fusion, pseudo-LiDAR, small contour object 3D detection BibRef

Deng, Y.[Ying], Hu, X.[Xingliang], Li, B.[Bing], Zhang, C.X.[Cong-Xuan], Hu, W.M.[Wei-Ming],
Multi-scale self-attention-based feature enhancement for detection of targets with small image sizes,
PRL(166), 2023, pp. 46-52.
Elsevier DOI 2302
Detection of targets with small image sizes, Feature enhancement, Multi-scale combination, Self-attention BibRef

Rasol, J.[Jarhinbek], Xu, Y.L.[Yue-Lei], Zhang, Z.X.[Zhao-Xiang], Zhang, F.[Fan], Feng, W.J.[Wei-Jia], Dong, L.[Liheng], Hui, T.[Tian], Tao, C.[Chengyang],
An Adaptive Adversarial Patch-Generating Algorithm for Defending against the Intelligent Low, Slow, and Small Target,
RS(15), No. 5, 2023, pp. xx-yy.
DOI Link 2303
BibRef

Chen, G.Q.[Gang-Qi], Mao, Z.Y.[Zhao-Yong], Wang, K.[Kai], Shen, J.[Junge],
HTDet: A Hybrid Transformer-Based Approach for Underwater Small Object Detection,
RS(15), No. 4, 2023, pp. xx-yy.
DOI Link 2303
BibRef

Chen, Y.Q.[Yu-Qi], Zhu, X.B.[Xiang-Bin], Li, Y.G.[Yong-Gang], Wei, Y.W.[Yuan-Wang], 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

Qu, J.[Junsuo], Tang, Z.[Zongbing], Zhang, L.[Le], Zhang, Y.H.[Yang-Hai], Zhang, Z.G.[Zhen-Guo],
Remote Sensing Small Object Detection Network Based on Attention Mechanism and Multi-Scale Feature Fusion,
RS(15), No. 11, 2023, pp. 2728.
DOI Link 2306
BibRef

Wang, X.[Xin], He, N.[Ning], Hong, C.[Chen], Wang, Q.[Qi], Chen, M.[Ming],
Improved YOLOX-X based UAV aerial photography object detection algorithm,
IVC(135), 2023, pp. 104697.
Elsevier DOI 2306
UAV aerial photography, Object detection, YOLOX, Small objects BibRef

Liu, Z.W.[Zhi-Wei], Gan, M.[Menghan], Xiong, L.[Li], Mao, X.F.[Xiao-Feng], Que, Y.[Yue],
Multilevel receptive field expansion network for small object detection,
IET-IPR(17), No. 8, 2023, pp. 2385-2398.
DOI Link 2306
neural nets, object detection, receptive field expansion, small object detection, transformer BibRef

Huo, B.[Bihan], Li, C.L.[Cheng-Long], Zhang, J.W.[Jian-Wei], Xue, Y.J.[Ying-Jian], Lin, Z.[Zhoujin],
SAFF-SSD: Self-Attention Combined Feature Fusion-Based SSD for Small Object Detection in Remote Sensing,
RS(15), No. 12, 2023, pp. xx-yy.
DOI Link 2307
BibRef

Yuan, Y.[Yuman], Bai, H.Y.[Hong-Yang], Wu, P.[Panfeng], Guo, H.W.[Hong-Wei], Deng, T.Y.[Tian-Yu], Qin, W.W.[Wei-Wei],
An Intelligent Detection Method for Small and Weak Objects in Space,
RS(15), No. 12, 2023, pp. xx-yy.
DOI Link 2307
BibRef

Yang, L.[Li], Zhong, J.H.[Jun-Hong], Zhang, Y.[Yun], Bai, S.C.[Si-Chang], Li, G.S.[Guo-Shu], Yang, Y.[Yun], Zhang, J.[Jian],
An Improving Faster-RCNN With Multi-Attention ResNet for Small Target Detection in Intelligent Autonomous Transport With 6G,
ITS(24), No. 7, July 2023, pp. 7717-7725.
IEEE DOI 2307
Feature extraction, Object detection, Deep learning, Residual neural networks, Neural networks, faster-RCNN BibRef

Wang, X.[Xuan], Wang, A.[Aoran], Yi, J.[Jinglei], Song, Y.C.[Yong-Chao], Chehri, A.[Abdellah],
Small Object Detection Based on Deep Learning for Remote Sensing: A Comprehensive Review,
RS(15), No. 13, 2023, pp. 3265.
DOI Link 2307
BibRef

Fan, X.S.[Xiang-Suo], Li, J.[Juliu], Min, L.[Lei], Feng, L.P.[Lin-Ping], Yu, L.[Ling], Xu, Z.Y.[Zhi-Yong],
Dim and Small Target Detection Based on Energy Sensing of Local Multi-Directional Gradient Information,
RS(15), No. 13, 2023, pp. 3267.
DOI Link 2307
BibRef

Chen, L.[Liang], Liu, J.[Jun], Chen, W.D.[Wei-Dong], Du, B.[Bo],
A GLRT-Based Multi-Pixel Target Detector in Hyperspectral Imagery,
MultMed(25), 2023, pp. 2710-2722.
IEEE DOI 2307
Detectors, Hyperspectral imaging, Object detection, Covariance matrices, Training data, Sensors, Spatial resolution, multi-pixel target BibRef

Xu, H.[He], Zheng, W.L.[Wen-Long], Liu, F.X.[Feng-Xuan], Li, P.[Peng], Wang, R.C.[Ru-Chuan],
Unmanned Aerial Vehicle Perspective Small Target Recognition Algorithm Based on Improved YOLOv5,
RS(15), No. 14, 2023, pp. 3583.
DOI Link 2307
BibRef

Xu, X.[Xinkai], Zhang, H.[Hailan], Ma, Y.[Yan], Liu, K.[Kang], Bao, H.[Hong], Qian, X.[Xu],
TranSDet: Toward Effective Transfer Learning for Small-Object Detection,
RS(15), No. 14, 2023, pp. 3525.
DOI Link 2307
BibRef

Li, Y.[Yanfen], Wang, H.[Hanxiang], Dang, L.M.[L. Minh], Song, H.K.[Hyoung-Kyu], Moon, H.[Hyeonjoon],
ORCNN-X: Attention-Driven Multiscale Network for Detecting Small Objects in Complex Aerial Scenes,
RS(15), No. 14, 2023, pp. 3497.
DOI Link 2307
BibRef

Min, L.T.[Ling-Tong], Fan, Z.[Ziman], Lv, Q.[Qinyi], Reda, M.[Mohamed], Shen, L.H.[Ling-Hao], Wang, B.[Binglu],
YOLO-DCTI: Small Object Detection in Remote Sensing Base on Contextual Transformer Enhancement,
RS(15), No. 16, 2023, pp. 3970.
DOI Link 2309
BibRef

Cheng, G.[Gong], Yuan, X.[Xiang], Yao, X.[Xiwen], Yan, K.[Kebing], Zeng, Q.H.[Qing-Hua], Xie, X.X.[Xing-Xing], Han, J.W.[Jun-Wei],
Towards Large-Scale Small Object Detection: Survey and Benchmarks,
PAMI(45), No. 11, November 2023, pp. 13467-13488.
IEEE DOI 2310
Survey, Small Object Detection. BibRef

Yang, X.B.[Xiao-Bao], He, Y.L.[Yu-Long], Wu, J.S.[Jun-Sheng], Sun, W.[Wei], Liu, T.Y.[Tian-Yu], Ma, S.[Sugang],
3DF-FCOS: Small object detection with 3D features based on FCOS,
CVIU(235), 2023, pp. 103787.
Elsevier DOI 2310
Aerial images, Small object detection, Attention mechanism, Sparse convolution BibRef

Zhang, H.Y.[Hong-Yun], Li, M.[Miao], Miao, D.Q.[Duo-Qian], Pedrycz, W.[Witold], Wang, Z.[Zhaoguo], Jiang, M.H.[Ming-Hui],
Construction of a feature enhancement network for small object detection,
PR(143), 2023, pp. 109801.
Elsevier DOI 2310
Collision detection, Granular computing, High-Resolution block, FENet, HR-FPN, Small object detection, BibRef

Zhang, Y.F.[Ya-Feng], Yu, J.Y.[Jun-Yang], Wang, Y.Y.[Yuan-Yuan], Tang, S.[Shuang], Li, H.[Han], Xin, Z.[Zhiyi], Wang, C.Y.[Chao-Yi], Zhao, Z.M.[Zi-Ming],
Small object detection based on hierarchical attention mechanism and multi-scale separable detection,
IET-IPR(17), No. 14, 2023, pp. 3986-3999.
DOI Link Code:
WWW Link. 2312
image recognition, object detection BibRef

Wei, W.Y.[Wen-Yan], Ma, T.[Tao], Li, M.H.[Mei-Hui], Zuo, H.R.[Hao-Rui],
Infrared Dim and Small Target Detection Based on Superpixel Segmentation and Spatiotemporal Cluster 4D Fully-Connected Tensor Network Decomposition,
RS(16), No. 1, 2024, pp. xx-yy.
DOI Link 2401
BibRef

Park, J.K.[Jung-Kyu], Chledowski, J.[Jakub], Jastrzebski, S.[Stanislaw], Witowski, J.[Jan], Xu, Y.Q.[Yan-Qi], Du, L.[Linda], Gaddam, S.[Sushma], Kim, E.[Eric], Lewin, A.[Alana], Parikh, U.[Ujas], Plaunova, A.[Anastasia], Chen, S.[Sardius], Millet, A.[Alexandra], Park, J.[James], Pysarenko, K.[Kristine], Patel, S.[Shalin], Goldberg, J.[Julia], Wegener, M.[Melanie], Moy, L.[Linda], Heacock, L.[Laura], Reig, B.[Beatriu], Geras, K.J.[Krzysztof J.],
An Efficient Deep Neural Network to Classify Large 3D Images With Small Objects,
MedImg(43), No. 1, January 2024, pp. 351-365.
IEEE DOI 2401
BibRef

Guo, G.Q.[Guang-Qian], Chen, P.F.[Peng-Fei], Yu, X.[Xuehui], Han, Z.J.[Zhen-Jun], Ye, Q.X.[Qi-Xiang], Gao, S.[Shan],
Save the Tiny, Save the All: Hierarchical Activation Network for Tiny Object Detection,
CirSysVideo(34), No. 1, January 2024, pp. 221-234.
IEEE DOI 2401
BibRef

Fang, F.[Fen], Liang, W.Y.[Wen-Yu], Cheng, Y.[Yi], Xu, Q.L.[Qian-Li], Lim, J.H.[Joo-Hwee],
Enhancing Representation Learning With Spatial Transformation and Early Convolution for Reinforcement Learning-Based Small Object Detection,
CirSysVideo(34), No. 1, January 2024, pp. 315-328.
IEEE DOI 2401
BibRef

Chen, Z.D.[Zhao-Dong], Ji, H.B.[Hong-Bing], Zhang, Y.Q.[Yong-Quan], Zhu, Z.G.[Zhi-Gang], Li, Y.F.[Yi-Fan],
High-Resolution Feature Pyramid Network for Small Object Detection on Drone View,
CirSysVideo(34), No. 1, January 2024, pp. 475-489.
IEEE DOI 2401
BibRef

Chen, Z.[Zehui], Yang, C.H.Y.[Chen-Hong-Yi], Chang, J.H.[Jia-Hao], Zhao, F.[Feng], Zha, Z.J.[Zheng-Jun], Wu, F.[Feng],
DDOD: Dive Deeper into the Disentanglement of Object Detector,
MultMed(26), 2024, pp. 284-298.
IEEE DOI Code:
WWW Link. 2401
Dense object detection. BibRef


Yuan, X.[Xiang], Cheng, G.[Gong], Yan, K.[Kebing], Zeng, Q.H.[Qing-Hua], Han, J.W.[Jun-Wei],
Small Object Detection via Coarse-to-fine Proposal Generation and Imitation Learning,
ICCV23(6294-6304)
IEEE DOI Code:
WWW Link. 2401
BibRef

Cores, D.[Daniel], Brea, V.M.[Víctor M.], Mucientes, M.[Manuel], Seidenari, L.[Lorenzo], del Bimbo, A.[Alberto],
Downsampling GAN for Small Object Data Augmentation,
CAIP23(I:89-98).
Springer DOI 2312
BibRef

Liu, H.T.[Hao-Tian], Liu, Q.[Qing], Liu, Y.[Yang], Liang, Y.X.[Yi-Xiong], Zhao, G.Y.[Guo-Ying],
Exploring Effective Knowledge Distillation for Tiny Object Detection,
ICIP23(770-774)
IEEE DOI Code:
WWW Link. 2312
BibRef

Di, Y.[Yang], Phung, S.L.[Son Lam], van den Berg, J.[Julian], Clissold, J.[Jason], Bouzerdoum, A.[Abdesselam],
TP-YOLO: A Lightweight Attention-Based Architecture for Tiny Pest Detection,
ICIP23(3394-3398)
IEEE DOI Code:
WWW Link. 2312
BibRef

Guo, Z.Q.[Zi-Qi], He, C.[Chu], Zhou, L.[Lian], Zhang, Q.Y.[Qing-Yi], Sun, S.L.[Shi-Lei],
Robust Bounding Box Regression for Small Object Detection,
ICIP23(2290-2294)
IEEE DOI 2312
BibRef

Jeune, P.L.[Pierre Le], Mokraoui, A.[Anissa],
Cross-Scale Query-Support Alignment Approach for Small Object Detection in the Few-Shot Regime,
ICIP23(555-559)
IEEE DOI 2312
BibRef

Xu, C.[Chang], Ding, J.[Jian], Wang, J.[Jinwang], Yang, W.[Wen], Yu, H.[Huai], Yu, L.[Lei], Xia, G.S.[Gui-Song],
Dynamic Coarse-to-Fine Learning for Oriented Tiny Object Detection,
CVPR23(7318-7328)
IEEE DOI 2309
BibRef

Xiao, J.S.[Jin-Sheng], Wu, Y.Y.X.[Yuan-Yan-Xu], Chen, Y.[Yunhua], Wang, S.[Shurui], Wang, Z.Y.[Zhong-Yuan], Ma, J.Y.[Jia-Yi],
LSTFE-Net: Long Short-Term Feature Enhancement Network for Video Small Object Detection,
CVPR23(14613-14622)
IEEE DOI 2309
BibRef

Zhu, Y.C.[Yi-Chen], Zhou, Q.Q.[Qi-Qi], Liu, N.[Ning], Xu, Z.Y.[Zhi-Yuan], Ou, Z.C.[Zhi-Cai], Mou, X.F.[Xiao-Feng], Tang, J.[Jian],
ScaleKD: Distilling Scale-Aware Knowledge in Small Object Detector,
CVPR23(19723-19733)
IEEE DOI 2309
BibRef

Jiang, Y.C.[Yun-Cheng], Zhang, Z.X.[Zi-Xun], Qin, S.X.[Shi-Xi], Guo, Y.[Yao], Li, Z.[Zhen], Cui, S.G.[Shu-Guang],
Apaunet: Axis Projection Attention Unet for Small Target in 3d Medical Segmentation,
ACCV22(VI:21-36).
Springer DOI 2307
BibRef

Zhang, C.J.[Chong-Jian], Chen, S.L.[Song-Lu], Liu, Q.[Qi], Huang, Z.Y.[Zhi-Yong], Chen, F.[Feng], Yin, X.C.[Xu-Cheng],
Feature Enhancement and Reconstruction for Small Object Detection,
MMMod23(I: 16-27).
Springer DOI 2304
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.H.Y.[Chen-Hong-Yi], 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

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.X.[Jiu-Xiang], 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.Q.[Yu-Qi], 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 BibRef

Razakarivony, S.[Sebastien], Jurie, F.[Frederic],
Discriminative Autoencoders for Small Targets Detection,
ICPR14(3528-3533)
IEEE DOI 1412
Manifolds BibRef

Lin, T.[Tao], Marot, J.[Julien], Bourennane, S.[Salah],
Small Target Detection Improvement in Hyperspectral Image,
ACIVS13(460-469).
Springer DOI 1311
BibRef

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 .


Last update:Jan 30, 2024 at 20:33:16