Object Detection Publications

Publications in Object Detection

Explore the most influential research papers and scholarly works that have shaped Object Detection. Use the concept filter below to focus on a specific sub-area of research.

Object Detection

31.8K

Publications

Citations

Showing yearly statistics from 2000-2026.

Page 1

	Year	Citations
Densely Connected Convolutional Networks Gao Huang, Zhuang Liu, Laurens van der Maaten, Geometric LearningConvolutional Neural NetworkEngineeringMachine LearningDense Convolutional Network	2017	43.3K
Histograms of Oriented Gradients for Human Detection Navneet Dalal, Bill Triggs EngineeringFeature DetectionMachine LearningBiometricsOriented Gradients	2005	31.6K
Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation Ross Girshick, Jeff Donahue, Trevor Darrell, Convolutional Neural NetworkEngineeringMachine LearningFeature DetectionRich Feature Hierarchies	2014	31.2K
Rethinking the Inception Architecture for Computer Vision Christian Szegedy, Vincent Vanhoucke, Sergey Ioffe, Convolutional Neural NetworkEngineeringMachine LearningInception ArchitectureImage Classification	2016	30.2K
A Computational Approach to Edge Detection John Canny IEEE Transactions on Pattern Analysis and Machine Intelligence EngineeringFeature DetectionMachine LearningLocalizationImage Analysis	1986	28.7K
Mask R-CNN Kaiming He, Georgia Gkioxari, Piotr Dollár, Object Instance SegmentationScene AnalysisMachine VisionImage AnalysisMachine Learning	2017	27.9K
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows Ze Liu, Yutong Lin, Yue Cao, 2021 IEEE/CVF International Conference on Computer Vision (ICCV) Swin TransformerConvolutional Neural NetworkMachine VisionImage AnalysisMachine Learning	2021	27.9K
Feature Pyramid Networks for Object Detection Tsung-Yi Lin, Piotr Dollár, Ross Girshick, Feature Pyramid NetworksConvolutional Neural NetworkImage AnalysisMachine VisionMachine Learning	2017	27.7K
Fast R-CNN Ross Girshick Image ClassificationConvolutional Neural NetworkImage AnalysisMachine LearningMachine Vision	2015	27.2K
Focal Loss for Dense Object Detection Tsung-Yi Lin, Priya Goyal, Ross Girshick, Image ClassificationConvolutional Neural NetworkImage AnalysisMachine VisionMachine Learning	2017	24.4K
MobileNetV2: Inverted Residuals and Linear Bottlenecks Mark Sandler, Andrew Howard, Menglong Zhu, Convolutional Neural NetworkScene AnalysisEngineeringMachine LearningMobile Models	2018	24.2K
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs Liang-Chieh Chen, George Papandreou, Iasonas Kokkinos, IEEE Transactions on Pattern Analysis and Machine Intelligence Semantic Image SegmentationConvolutional Neural NetworkScene AnalysisImage AnalysisMachine Learning	2017	21.4K

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