Keyword

semantic segmentation

Description: Semantic segmentation is a computer vision task that assigns a semantic class label to each pixel in an image.

Primary topic: Advanced Neural Network Applications (27%)

Related topics: Advanced Neural Network Applications (27%), Remote-Sensing Image Classification (11%)

Wikidata ID: wiki/Q120970636

OpenAlex ID: keywords/semantic-segmentation

Deep Residual Learning for Image Recognition

2016 · Kaiming He, Xiangyu Zhang, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 234,403

Fully convolutional networks for semantic segmentation

2015 · Jonathan Long, Evan Shelhamer, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 38,747

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

2021 · Ze Liu, Yutong Lin, et al. · IEEE/CVF International Conference on Computer Vision (ICCV) · 35,130

Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation

2014 · Ross Girshick, Jeff Donahue, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 32,628

DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

2017 · Liang-Chieh Chen, George Papandreou, et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence · 22,325

Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

2018 · Liang-Chieh Chen, Yukun Zhu, et al. · Lecture notes in computer science · 19,902

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

2017 · Vijay Badrinarayanan, Alex Kendall, et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence · 19,573

Pyramid Scene Parsing Network

2017 · Hengshuang Zhao, Jianping Shi, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 16,280

Momentum Contrast for Unsupervised Visual Representation Learning

2020 · Kaiming He, Haoqi Fan, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 13,284

The Cityscapes Dataset for Semantic Urban Scene Understanding

2016 · Marius Cordts, Mohamed Omran, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 12,397

Fully Convolutional Networks for Semantic Segmentation

2016 · Evan Shelhamer, Jonathan Long, et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence · 11,590

nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation

2020 · Fabian Isensee, Paul F. Jaeger, et al. · Nature Methods · 10,286

Searching for MobileNetV3

2019 · Andrew Howard, Mark Sandler, et al. · IEEE/CVF International Conference on Computer Vision (ICCV) · 9,598

A ConvNet for the 2020s

2022 · Zhuang Liu, Hanzi Mao, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 8,338

Multi-Scale Context Aggregation by Dilated Convolutions

2015 · Yu, Fisher, Koltun, Vladlen · arXiv (Cornell University) · 7,736

Rethinking Atrous Convolution for Semantic Image Segmentation

2017 · Chen, Liang-Chieh, Papandreou, George, et al. · arXiv (Cornell University) · 7,516

Deformable Convolutional Networks

2017 · Jifeng Dai, Haozhi Qi, et al. · IEEE International Conference on Computer Vision (ICCV) · 7,477

Dual Attention Network for Scene Segmentation

2019 · Jun Fu, Jing Liu, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 7,304

Coordinate Attention for Efficient Mobile Network Design

2021 · Qibin Hou, Daquan Zhou, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 6,881

Emerging Properties in Self-Supervised Vision Transformers

2021 · Mathilde Caron, Hugo Touvron, et al. · IEEE/CVF International Conference on Computer Vision (ICCV) · 5,873

Context Encoders: Feature Learning by Inpainting

2016 · Deepak Pathak, Philipp Krahenbuhl, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 5,681

Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions

2021 · Wenhai Wang, Enze Xie, et al. · IEEE/CVF International Conference on Computer Vision (ICCV) · 5,233

SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers

2021 · Xie, Enze, Wang, Wenhai, et al. · CaltechAUTHORS (California Institute of Technology) · 5,059

Deep High-Resolution Representation Learning for Visual Recognition

2020 · Jingdong Wang, Ke Sun, et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence · 4,854

UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation

2019 · Zongwei Zhou, Md Mahfuzur Rahman Siddiquee, et al. · IEEE Transactions on Medical Imaging · 4,431

Works count: 43,940

Citation count: 1,372,000