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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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dense sampling, detail enhancement, object detection
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2206
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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2109
Aerial images, Tiny object detection, Benchmark dataset.
Measurement, Object detection,
Detectors, Euclidean distance
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ICPR21(3791-3798)
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2105
Location awareness, Earth, Neural networks, Object detection,
Detectorss, Performance gain, Benchmark testing,
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2210
Small object detection, Data augmentation, Generative adversarial network
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Structure Tensor-Based Infrared Small Target Detection Method for a
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Xie, J.Y.[Jia-Yang],
Gao, C.X.[Cheng-Xing],
Wu, J.F.[Jun-Feng],
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Small Low-Contrast Target Detection: Data-Driven Spatiotemporal
Feature Fusion and Implementation,
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IEEE DOI
2211
Feature extraction, Spatiotemporal phenomena,
Support vector machines, Object detection, Drones, Videos, target detection
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Qian, W.[Wen],
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Zhang, X.J.[Xiu-Juan],
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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
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Shi, T.J.[Tian-Jun],
Gong, J.[Jinnan],
Hu, J.M.[Jian-Ming],
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Bao, G.Z.[Guang-Zheng],
Feature-Enhanced CenterNet for Small Object Detection in Remote
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RS(14), No. 21, 2022, pp. xx-yy.
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Elsevier DOI
2212
Normalized inductive bias, Features fusion,
Small-objects detection, Transformer, Self-attention
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Yan, J.C.[Jun-Chi],
Liao, W.L.[Wen-Long],
Yang, X.K.[Xiao-Kang],
Tang, J.[Jin],
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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
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Yang, Z.M.[Zong-Ming],
Yang, L.[Liang],
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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
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Deng, Y.[Ying],
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Multi-scale self-attention-based feature enhancement for detection of
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Elsevier DOI
2302
Detection of targets with small image sizes,
Feature enhancement, Multi-scale combination, Self-attention
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Zhang, Z.X.[Zhao-Xiang],
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Feng, W.J.[Wei-Jia],
Dong, L.H.[Li-Heng],
Hui, T.[Tian],
Tao, C.Y.[Cheng-Yang],
An Adaptive Adversarial Patch-Generating Algorithm for Defending
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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
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Leng, J.[Jiaxu],
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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
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Huang, Z.C.[Zhi-Cong],
Zheng, Z.J.[Zhi-Jie],
Zhao, J.W.[Jing-Wen],
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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
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Sang, S.T.[Sheng-Tian],
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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
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Liu, J.[Jun],
Sun, S.[Siyu],
Hyperspectral subpixel target detection based on interaction subspace
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PR(139), 2023, pp. 109464.
Elsevier DOI
2304
Subpixel target detection, Hyperspectral images,
Subspace model, Generalized likelihood ratio test (GLRT), Spectral variability
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Small Target Detection Method Based on Low-Rank Sparse Matrix
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A Multi-Frame Superposition Detection Method for Dim-Weak Point
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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],
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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
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Zhang, X.[Xi],
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Gao, T.[Tao],
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A Novel SSD-Based Detection Algorithm Suitable for Small Object,
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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
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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
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Yang, L.[Li],
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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
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Wang, X.[Xuan],
Wang, A.[Aoran],
Yi, J.L.[Jing-Lei],
Song, Y.C.[Yong-Chao],
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RS(15), No. 13, 2023, pp. 3265.
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Dim and Small Target Detection Based on Energy Sensing of Local
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Chen, L.[Liang],
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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
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Xu, H.[He],
Zheng, W.L.[Wen-Long],
Liu, F.X.[Feng-Xuan],
Li, P.[Peng],
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RS(15), No. 14, 2023, pp. 3583.
DOI Link
2307
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RS(15), No. 14, 2023, pp. 3525.
DOI Link
2307
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Li, Y.[Yanfen],
Wang, H.[Hanxiang],
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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
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Min, L.T.[Ling-Tong],
Fan, Z.[Ziman],
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Reda, M.[Mohamed],
Shen, L.H.[Ling-Hao],
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YOLO-DCTI: Small Object Detection in Remote Sensing Base on
Contextual Transformer Enhancement,
RS(15), No. 16, 2023, pp. 3970.
DOI Link
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Cheng, G.[Gong],
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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],
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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
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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,
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Zhang, Y.F.[Ya-Feng],
Yu, J.Y.[Jun-Yang],
Wang, Y.Y.[Yuan-Yuan],
Tang, S.[Shuang],
Li, H.[Han],
Xin, Z.Y.[Zhi-Yi],
Wang, C.Y.[Chao-Yi],
Zhao, Z.M.[Zi-Ming],
Small object detection based on hierarchical attention mechanism and
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2312
image recognition, object detection
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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],
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Parikh, U.[Ujas],
Plaunova, A.[Anastasia],
Chen, S.[Sardius],
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Park, J.[James],
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Goldberg, J.[Julia],
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Geras, K.J.[Krzysztof J.],
An Efficient Deep Neural Network to Classify Large 3D Images With
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IEEE DOI
2401
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Guo, G.Q.[Guang-Qian],
Chen, P.F.[Peng-Fei],
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Ye, Q.X.[Qi-Xiang],
Gao, S.[Shan],
Save the Tiny, Save the All: Hierarchical Activation Network for Tiny
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IEEE DOI
2401
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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
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IEEE DOI
2401
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Chen, Z.D.[Zhao-Dong],
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Zhang, Y.Q.[Yong-Quan],
Zhu, Z.G.[Zhi-Gang],
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High-Resolution Feature Pyramid Network for Small Object Detection on
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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],
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DDOD: Dive Deeper into the Disentanglement of Object Detector,
MultMed(26), 2024, pp. 284-298.
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WWW Link.
2401
Dense object detection.
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Ren, S.[Shasha],
Liu, Q.[Qiong],
Small Target Augmentation for Urban Remote Sensing Image Real-Time
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ITS(25), No. 2, February 2024, pp. 2076-2088.
IEEE DOI
2402
Image segmentation, Semantics, Real-time systems,
Image edge detection, Data augmentation, Feature extraction, edge
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Dai, H.H.[Hong-Hao],
Gao, S.S.[Shan-Shan],
Huang, H.[Hong],
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Zhang, C.H.[Chen-Hao],
Zhou, Y.F.[Yuan-Feng],
An Adaptive Sample Assignment Network for Tiny Object Detection,
MultMed(26), 2024, pp. 2918-2931.
IEEE DOI
2402
Semantics, Object detection, Feature extraction, Task analysis,
Heating systems, Focusing, Redundancy, Tiny object detection,
adaptive cropping method
BibRef
Li, Y.Y.[Yuan-Yuan],
Zhou, Z.G.[Zheng-Guo],
Qi, G.Q.[Guan-Qiu],
Hu, G.[Gang],
Zhu, Z.Q.[Zhi-Qin],
Huang, X.[Xin],
Remote Sensing Micro-Object Detection under Global and Local
Attention Mechanism,
RS(16), No. 4, 2024, pp. 644.
DOI Link
2402
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Liu, J.P.[Jin-Ping],
Zheng, K.[Kunyi],
Liu, X.Y.[Xian-Yi],
Xu, P.F.[Peng-Fei],
Zhou, Y.[Ying],
SDSDet: A real-time object detector for small, dense, multi-scale
remote sensing objects,
IVC(142), 2024, pp. 104898.
Elsevier DOI
2402
Remote sensing images, Lightweight network, Small,
dense and multi-scale object detection, Gradient confusion,
Dual-path learning network
BibRef
Leng, J.X.[Jia-Xu],
Liu, Y.[Yiran],
Gao, X.B.[Xin-Bo],
Wang, Z.H.[Zhi-Hui],
CRNet: Context-guided Reasoning Network for Detecting Hard Objects,
MultMed(26), 2024, pp. 3765-3777.
IEEE DOI
2402
Small, occluded, blurry.
Cognition, Context modeling, Feature extraction, Object detection,
Detectors, Proposals, Sports, Keypoint localization,
size regression
BibRef
Shao, X.Y.[Xiang-Ying],
Guo, Y.[Ying],
Wang, Y.W.[You-Wei],
Bao, Z.W.[Zheng-Wei],
Wang, J.Y.[Ji-Yu],
A small object detection algorithm based on feature interaction and
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JVCIR(98), 2024, pp. 104011.
Elsevier DOI
2402
Small object detection, Aerial image, Faster RCNN,
Feature interaction, Guided learning
BibRef
Ciocarlan, A.[Alina],
Le Hégarat-Mascle, S.[Sylvie],
Lefebvre, S.[Sidonie],
Woiselle, A.[Arnaud],
Deep-NFA: A deep a contrario framework for tiny object detection,
PR(150), 2024, pp. 110312.
Elsevier DOI
2403
A contrario reasoning, One-class semantic segmentation,
Deep learning, Convolutional neural networks, Small target detection
BibRef
Zhao, D.[Dewei],
Shao, F.[Faming],
Liu, Q.[Qiang],
Yang, L.[Li],
Zhang, H.[Heng],
Zhang, Z.[Zihan],
A Small Object Detection Method for Drone-Captured Images Based on
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RS(16), No. 6, 2024, pp. 1002.
DOI Link
2403
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Hao, C.[Chuanyan],
Zhang, H.[Hao],
Song, W.[Wanru],
Liu, F.[Feng],
Wu, E.[Enhua],
SliNet: Slicing-Aided Learning for Small Object Detection,
SPLetters(31), 2024, pp. 790-794.
IEEE DOI
2404
Transformers, Feature extraction, Detectors, Training, Head,
Computational modeling, YOLO, Object detection, VisDrone
BibRef
Jing, S.L.[Shi-Long],
Lv, H.Y.[Heng-Yi],
Zhao, Y.C.[Yu-Chen],
Liu, H.L.[Hai-Long],
Sun, M.[Ming],
MVT: Multi-Vision Transformer for Event-Based Small Target Detection,
RS(16), No. 9, 2024, pp. 1641.
DOI Link
2405
BibRef
Yang, C.[Chenyue],
Cao, Y.C.[Yi-Chao],
Lu, X.B.[Xiao-Bo],
Towards better small object detection in UAV scenes: Aggregating more
object-oriented information,
PRL(182), 2024, pp. 24-30.
Elsevier DOI
2405
Small object detection, UAV captured scenes, Object-oriented
BibRef
Ye, J.K.[Jiong-Kai],
Wu, Y.[Yong],
Peng, D.L.[Dong-Liang],
Low-quality image object detection based on reinforcement learning
adaptive enhancement,
PRL(182), 2024, pp. 67-75.
Elsevier DOI
2405
Deep reinforcement learning, Image enhancement,
Object detection, Multiple scenarios, Low-quality image
BibRef
Mao, Y.T.[Yi-Tong],
Song, C.[Chong],
Wang, B.N.[Bing-Nan],
Algorithm for the Weak Target Joint Detection and Ambiguity
Resolution Based on Ambiguity Matrix,
RS(16), No. 9, 2024, pp. 1597.
DOI Link
2405
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Liu, J.[Jing],
Huang, P.C.[Peng-Cheng],
Zeng, C.[Cao],
Liao, G.S.[Gui-Sheng],
Xu, J.W.[Jing-Wei],
Tao, H.[Haihong],
Juwono, F.H.[Filbert H.],
Light Gradient Boosting Machine-Based Low-Slow-Small Target Detection
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RS(16), No. 10, 2024, pp. 1737.
DOI Link
2405
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Starting from the structure: A review of small object detection based
on deep learning,
IVC(146), 2024, pp. 105054.
Elsevier DOI
2405
Small object detection, Data augmentation, Feature extraction,
Feature fusion, Unsupervised, End-to-end, Transfer learning, Anchor-free
BibRef
Zhao, F.Y.[Fei-Yue],
Zhang, J.W.[Jian-Wei],
Zhang, G.Q.[Guo-Qing],
FFEDet: Fine-Grained Feature Enhancement for Small Object Detection,
RS(16), No. 11, 2024, pp. 2003.
DOI Link
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Conran, D.N.[David N.],
Ientilucci, E.J.[Emmett J.],
Bauch, T.D.[Timothy D.],
Raqueno, N.G.[Nina G.],
Small Target Radiometric Performance of Drone-Based Hyperspectral
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RS(16), No. 11, 2024, pp. 1919.
DOI Link
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Wang, W.[Wei],
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Zhang, C.H.[Cheng-Hong],
HV-YOLOv8 by HDPconv: Better lightweight detectors for small object
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IVC(147), 2024, pp. 105052.
Elsevier DOI
2406
HDPConv, HV-YOLOv8, Small object detection, Lightweighting
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Chen, W.W.[Wei-Wen],
Zhuang, T.T.[Ting-Ting],
Zhang, Y.F.[Yuan-Fang],
Mei, T.[Teng],
Tang, X.Y.[Xiao-Yu],
YOLO-UOD: An underwater small object detector via improved efficient
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IET-IPR(18), No. 9, 2024, pp. 2490-2505.
DOI Link
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image enhancement, image processing,
image recognition, learning (artificial intelligence), object detection
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Zhou, S.L.[Shi-Long],
Zhou, H.[Haijin],
Detection Based on Semantics and a Detail Infusion Feature Pyramid
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Remote Sensing Small Object Detector,
RS(16), No. 13, 2024, pp. 2416.
DOI Link
2407
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Ni, J.J.[Jian-Jun],
Zhu, S.J.[Sheng-Jie],
Tang, G.Y.[Guang-Yi],
Ke, C.Y.[Chun-Yan],
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A Small-Object Detection Model Based on Improved YOLOv8s for UAV
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RS(16), No. 13, 2024, pp. 2465.
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Environmentally adaptive fast object detection in UAV images,
IVC(148), 2024, pp. 105103.
Elsevier DOI
2407
Small object detection, Multi-scale receptive fields, Feature pyramid
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Zhao, W.J.[Wen-Jie],
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Spatial Information Enhancement with Multi-Scale Feature Aggregation
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Feature extraction, Data augmentation, Accuracy, Printed circuits,
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Vision transformer, Object detection, Small object detection
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Feature extraction, YOLO, Semantics, Intelligent systems,
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Wang, Y.[Yu],
Toward High-Accuracy and Real-Time Two-Stage Small Object Detection
on FPGA,
CirSysVideo(34), No. 9, September 2024, pp. 8053-8066.
IEEE DOI
2410
Object detection, Location awareness, Feature extraction,
Classification algorithms, Task analysis, Hardware,
hardware resource allocation
BibRef
Liu, C.G.[Chen-Guang],
Gao, G.S.[Guang-Shuai],
Huang, Z.Y.[Zi-Yue],
Hu, Z.H.[Zheng-Hui],
Liu, Q.J.[Qing-Jie],
Wang, Y.H.[Yun-Hong],
YOLC: You Only Look Clusters for Tiny Object Detection in Aerial
Images,
ITS(25), No. 10, October 2024, pp. 13863-13875.
IEEE DOI
2410
Object detection, Heating systems, Detectors, Crops, Convolution,
Search problems, Proposals, Aerial image, small objects,
non-uniform data distribution
BibRef
Butler, J.[Justin],
Leung, H.[Henry],
A Heatmap-Supplemented R-CNN Trained Using an Inflated IoU for Small
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RS(16), No. 21, 2024, pp. 4065.
DOI Link
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BibRef
Cheng, K.[Keyang],
Cui, H.G.[Hong-Gang],
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Wan, H.[Hao],
Mao, Q.[Qirong],
Zhan, Y.Z.[Yong-Zhao],
Tiny Object Detection via Regional Cross Self-Attention Network,
CirSysVideo(34), No. 10, October 2024, pp. 8984-8996.
IEEE DOI
2411
Detectors, Object detection, Encoding, Feature extraction, Transformers,
Image coding, Generators, Tiny object detection, feature fusion
BibRef
Zhu, Z.Q.[Zhi-Qin],
Zheng, R.Z.[Ren-Zhong],
Qi, G.Q.[Guan-Qiu],
Li, S.[Shuang],
Li, Y.Y.[Yuan-Yuan],
Gao, X.B.[Xin-Bo],
Small Object Detection Method Based on Global Multi-Level Perception
and Dynamic Region Aggregation,
CirSysVideo(34), No. 10, October 2024, pp. 10011-10022.
IEEE DOI
2411
Feature extraction, Object detection, Noise, Data augmentation,
Detectors, Task analysis, Semantics, Small object, sparse strategy,
dynamic region aggregation
BibRef
Bai, J.[Jing],
Hu, H.Y.[Hai-Yang],
Liu, X.J.[Xiao-Jing],
Zhuang, S.[Shanna],
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UAV image object detection based on self-attention guidance and
global feature fusion,
IVC(151), 2024, pp. 105262.
Elsevier DOI
2411
Unmanned aerial vehicle, Small object detection, Self-attention
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Chen, Y.L.[Yan-Lin],
Lin, C.L.[Chun-Liang],
Lin, Y.C.[Yu-Chen],
Chen, T.C.[Tzu-Chun],
Transformer-CNN for small image object detection,
SP:IC(129), 2024, pp. 117194.
Elsevier DOI
2411
Small object detection (SOD), Transformer,
Convolutional neural network (CNN), Pattern recognition
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Al-Hababi, M.A.M.[Mohammed Ali Mohammed],
Habib, A.[Ahsan],
Thabit, F.[Fursan],
Liu, Y.[Ying],
A Novel Pre-Processing Approach and Benchmarking Analysis for Faster,
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RS(16), No. 20, 2024, pp. 3753.
DOI Link
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Li, Z.[Zheng],
Wang, Y.C.[Yong-Cheng],
Xu, D.D.[Dong-Dong],
Gao, Y.[Yunxiao],
Zhao, T.Q.[Tian-Qi],
TBNet: A texture and boundary-aware network for small weak object
detection in remote-sensing imagery,
PR(158), 2025, pp. 110976.
Elsevier DOI
2411
Deep learning, Remote sensing object detection,
Small weak object, Texture information, Boundary feature, Feature decoupling
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Gao, T.[Tao],
Xia, S.L.[Shi-Lin],
Liu, M.K.[Meng-Kun],
Zhang, J.[Jing],
Chen, T.[Ting],
Li, Z.Q.[Zi-Qi],
MSNet: Multi-Scale Network for Object Detection in Remote Sensing
Images,
PR(158), 2025, pp. 110983.
Elsevier DOI Code:
WWW Link.
2411
Small object detection, Multi-scale object detection,
Feature representation, Deep feature fusion
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Pisani, D.[Daniel],
Seychell, D.[Dylan],
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SODA: A Dataset for Small Object Detection in UAV Captured Imagery,
ICIP24(151-157)
IEEE DOI
2411
Training, Annotations, Object detection, Machine learning, Glass,
Autonomous aerial vehicles, Small Object Detection,
YOLOv8
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Park, C.[Chanyeong],
Jang, J.[Junbo],
Kim, H.[Heegwang],
Paik, J.[Joonki],
Enhanced Detection of Small Objects in Aerial Imagery: A
High-Resolution Neural Network Approach with Amplified Feature
Pyramid and Sigmoid Re-Weighting,
ICIP24(970-976)
IEEE DOI Code:
WWW Link.
2411
Deep learning, Image resolution, Convolution, Source coding,
Image edge detection, Neural networks, Object detection,
High-resolution Processing
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Zunair, H.[Hasib],
Ben Hamza, A.,
Learning to Recognize Occluded and Small Objects with Partial Inputs,
WACV24(664-673)
IEEE DOI
2404
Training, Image recognition, Supervised learning, Object detection,
Data models, Task analysis, Algorithms
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Zhu, M.[Mingye],
Yang, Z.C.[Zhi-Cheng],
Zhou, H.[Hang],
Du, C.[Chen],
Wong, A.[Andy],
Wei, Y.B.[Yi-Bing],
Deng, Z.[Zhuo],
Han, M.[Mei],
Lai, J.H.[Jui-Hsin],
TinyWT: A Large-Scale Wind Turbine Dataset of Satellite Images for
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EarthObv24(794-804)
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WWW Link.
2404
Image segmentation, Object detection, Self-supervised learning,
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Uzair, M.[Muhammad],
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Efficient Sampling of Bayer Pattern for Long Range Small Target
Detection in Color Images,
IVCNZ23(1-5)
IEEE DOI
2403
Adaptation models, Visualization, Image color analysis, Computational modeling,
Biological system modeling, small target detection.
BibRef
Hou, H.Y.[Hao-Yu],
Shen, M.Y.[Mu-Yi],
Hsu, C.C.[Chia-Chi],
Huang, E.M.[En-Ming],
Huang, Y.C.[Yu-Chen],
Xia, Y.C.[Yu-Cheng],
Wang, C.Y.[Chien-Yao],
Lee, C.Y.[Chun-Yi],
Ensemble Fusion for Small Object Detection,
MVA23(1-6)
DOI Link
2403
Machine vision, Object detection, Predictive models,
Feature extraction, Birds, Robustness, Faces
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Yuan, X.[Xiang],
Cheng, G.[Gong],
Yan, K.[Kebing],
Zeng, Q.H.[Qing-Hua],
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Imitation Learning,
ICCV23(6294-6304)
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WWW Link.
2401
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Cores, D.[Daniel],
Brea, V.M.[Víctor M.],
Mucientes, M.[Manuel],
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Downsampling GAN for Small Object Data Augmentation,
CAIP23(I:89-98).
Springer DOI
2312
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Liu, H.T.[Hao-Tian],
Liu, Q.[Qing],
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ICIP23(770-774)
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2312
BibRef
Di, Y.[Yang],
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TP-YOLO: A Lightweight Attention-Based Architecture for Tiny Pest
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ICIP23(3394-3398)
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2312
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Guo, Z.Q.[Zi-Qi],
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Sun, S.L.[Shi-Lei],
Robust Bounding Box Regression for Small Object Detection,
ICIP23(2290-2294)
IEEE DOI
2312
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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],
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Apaunet: Axis Projection Attention Unet for Small Target in 3d Medical
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Springer DOI
2307
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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
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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],
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Slim Scissors: Segmenting Thin Object from Synthetic Background,
ECCV22(XXIX:379-395).
Springer DOI
2211
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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
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Chen, J.[Jun],
Mai, H.S.[Hong-Sheng],
Luo, L.B.[Lin-Bo],
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
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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
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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
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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
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MVA21(1-5)
DOI Link
2109
Correlation, Graphics processing units,
Object detection, Feature extraction, Delays, High frequency
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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
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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
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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,
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,
High frequency, Convolutional neural networks
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Drid, K.[Khaoula],
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Object Detector Combination for Increasing Accuracy and Detecting More
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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
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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
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Chen, P.,
Hsieh, J.,
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Recursive Hybrid Fusion Pyramid Network for Real-Time Small Object
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LPCV20(1612-1621)
IEEE DOI
2008
Feature extraction, Object detection, Computational modeling, Iron,
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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,
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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
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ICCV19(8231-8240)
IEEE DOI
2004
Code, Object Detection.
WWW Link. feature extraction, image fusion,
object detection, SCRDet, robust detection, natural images, Semantics
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Liu, L.,
Muelly, M.,
Deng, J.,
Pfister, T.,
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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
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Razaak, M.[Manzoor],
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Multi-scale Feature Fused Single Shot Detector for Small Object
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Yang, Z.X.[Zi-Xuan],
Chai, X.J.[Xiu-Juan],
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Guo, W.J.[Wei-Jun],
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Prior Knowledge Guided Small Object Detection on High-Resolution
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ICIP19(86-90)
IEEE DOI
1910
small object detection, high-resolution image, prior knowledge,
convolutional neural network
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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
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Wilms, C.[Christian],
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AttentionMask: Attentive, Efficient Object Proposal Generation Focusing
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Menikdiwela, M.,
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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
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Zhou, X.Q.,
Zou, Y.X.,
Wang, Y.,
Accurate small object detection via density map aided saliency
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ICIP17(425-429)
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1803
Estimation, Image reconstruction, Image segmentation,
Object detection, Task analysis, Training,
superpixel
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Mittal, S.[Sudhandhu],
Karthik, M.S.[M. Siva],
Kumar, S.[Suryansh],
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Small Object Discovery and Recognition Using Actively Guided Robot,
ICPR14(4334-4339)
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Accuracy
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Discriminative Autoencoders for Small Targets Detection,
ICPR14(3528-3533)
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Small Target Detection Improvement in Hyperspectral Image,
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Samur, R.,
Zagorodnov, V.,
Segmenting Small Regions in the Presence of Noise,
ICIP05(II: 1254-1257).
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Hinz, S.,
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 .