Semantic Segmentation Publications

Publications in Semantic Segmentation

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

Semantic Segmentation

3.3K

Publications

323.9K

Citations

Showing yearly statistics from 2000-2026.

Page 1

	Year	Citations
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
Fully Convolutional Networks for Semantic Segmentation Evan Shelhamer, Jonathan Long, Trevor Darrell IEEE Transactions on Pattern Analysis and Machine Intelligence Convolutional Neural NetworkMachine VisionImage AnalysisData ScienceMachine Learning	2016	10.9K
Rethinking Atrous Convolution for Semantic Image Segmentation Liang-Chieh Chen, George Papandreou, Florian Schroff, arXiv (Cornell University) Convolutional Neural NetworkScene AnalysisEngineeringMachine LearningSemantic Image Segmentation	2017	7.4K
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation Liang-Chieh Chen, Yukun Zhu, George Papandreou, arXiv (Cornell University) Convolutional Neural NetworkEngineeringMachine LearningImage AnalysisData Science	2018	4.5K
Learning Deconvolution Network for Semantic Segmentation Hyeonwoo Noh, Seunghoon Hong, Bohyung Han Deep Deconvolution NetworkConvolutional Neural NetworkImage AnalysisMachine LearningMachine Vision	2015	4K
Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs Liang-Chieh Chen, George Papandreou, Iasonas Kokkinos, arXiv (Cornell University) Convolutional Neural NetworkScene AnalysisEngineeringMachine LearningSemantic Image Segmentation	2014	3.6K
Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers Sixiao Zheng, Jiachen Lu, Hengshuang Zhao, Convolutional Neural NetworkScene AnalysisImage AnalysisMachine VisionData Science	2021	3.4K
RefineNet: Multi-path Refinement Networks for High-Resolution Semantic Segmentation Guosheng Lin, Anton Milan, Chunhua Shen, Convolutional Neural NetworkEngineeringMachine LearningConvolution StridingImage Analysis	2017	3.2K
Scene Parsing through ADE20K Dataset Bolei Zhou, Hang Zhao, Xavier Puig, Scene AnalysisEngineeringMachine LearningScene ParsingImage Analysis	2017	3.1K
Fully Convolutional Networks for Semantic Segmentation J. D. Long, Evan Shelhamer, Trevor Darrell arXiv (Cornell University) Convolutional Neural NetworkMachine VisionImage AnalysisData ScienceMachine Learning	2014	2.8K
Conditional Random Fields as Recurrent Neural Networks Shuai Zheng, Sadeep Jayasumana, Bernardino Romera‐Paredes, Structured PredictionConvolutional Neural NetworkScene AnalysisEngineeringMachine Learning	2015	2.4K
The SYNTHIA Dataset: A Large Collection of Synthetic Images for Semantic Segmentation of Urban Scenes Germán Ros, Laura Sellart, Joanna Materzyńska, Artificial IntelligenceScene AnalysisEngineeringMachine Learning3D Computer Vision	2016	2.3K

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