mlsanityData to 14 Oct 2026

Pyramid Attention Network for Semantic Segmentation

arXiv 1805.10180 ↗First posted 25 May 2018cs.CVcited by 149

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Abstract (arXiv)

A Pyramid Attention Network(PAN) is proposed to exploit the impact of global contextual information in semantic segmentation. Different from most existing works, we combine attention mechanism and spatial pyramid to extract precise dense features for pixel labeling instead of complicated dilated convolution and artificially designed decoder networks. Specifically, we introduce a Feature Pyramid Attention module to perform spatial pyramid attention structure on high-level output and combining global pooling to learn a better feature representation, and a Global Attention Upsample module on each decoder layer to provide global context as a guidance of low-level features to select category localization details. The proposed approach achieves state-of-the-art performance on PASCAL VOC 2012 and Cityscapes benchmarks with a new record of mIoU accuracy 84.0% on PASCAL VOC 2012, while training without COCO dataset.

Key facts. Cited by 149 papers in the map (data through 14 Oct 2026). First posted on arXiv 25 May 2018.

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Citing papers per year: 2021: 44; 2022: 33; 2023: 28; 2024: 18; 2025: 14; 2026: 12.

149 papers.

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  1. 2021SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformerscited by 2,940
  2. 2021LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentationcited by 261
  3. 2022Transformers in Medical Imaging: A Surveycited by 245
  4. 2021Exploring Cross-Image Pixel Contrast for Semantic Segmentationcited by 242
  5. 2022Rethinking Semantic Segmentation: A Prototype Viewcited by 140
  6. 2022GMMSeg: Gaussian Mixture based Generative Semantic Segmentation Modelscited by 87
  7. 2021LeViT-UNet: Make Faster Encoders with Transformer for Medical Image Segmentationcited by 85
  8. 2022Deep Hierarchical Semantic Segmentationcited by 84
  9. 2021Re-distributing Biased Pseudo Labels for Semi-supervised Semantic Segmentation: A Baseline Investigationcited by 78
  10. 2021Standardized Max Logits: A Simple yet Effective Approach for Identifying Unexpected Road Obstacles in Urban-Scene Segmentationcited by 77
  11. 2022RbA: Segmenting Unknown Regions Rejected by Allcited by 67
  12. 2023A Billion-scale Foundation Model for Remote Sensing Imagescited by 62
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  1. 2021Attention, please! A survey of Neural Attention Models in Deep Learningcited by 51
  2. 2021Capturing Omni-Range Context for Omnidirectional Segmentationcited by 50
  3. 2021CTNet: Context-based Tandem Network for Semantic Segmentationcited by 43
  4. 2021Latent Correlation Representation Learning for Brain Tumor Segmentation with Missing MRI Modalitiescited by 42
  5. 2022Lawin Transformer: Improving Semantic Segmentation Transformer with Multi-Scale Representations via Large Window Attentioncited by 30
  6. 2023Survey on Unsupervised Domain Adaptation for Semantic Segmentation for Visual Perception in Automated Drivingcited by 29
  7. 2023Semantic Image Segmentation: Two Decades of Researchcited by 27
  8. 2023Balancing Logit Variation for Long-tailed Semantic Segmentationcited by 26
  9. 2023Mask Propagation for Efficient Video Semantic Segmentationcited by 26
  10. 2021FCCDN: Feature Constraint Network for VHR Image Change Detectioncited by 25
  11. 2023Deep Learning-based 3D Point Cloud Classification: A Systematic Survey and Outlookcited by 24
  12. 2022On the Road to Online Adaptation for Semantic Image Segmentationcited by 23
  13. 2023AerialFormer: Multi-resolution Transformer for Aerial Image Segmentationcited by 23
  14. 2021A survey on computational spectral reconstruction methods from RGB to hyperspectral imagingcited by 20
  15. 20233D TransUNet: Advancing Medical Image Segmentation through Vision Transformerscited by 20
  16. 2021Unsupervised Domain Adaptation for Semantic Image Segmentation: a Comprehensive Surveycited by 19
  17. 2021K-Hairstyle: A Large-scale Korean Hairstyle Dataset for Virtual Hair Editing and Hairstyle Classificationcited by 18
  18. 2024COMO: Cross-Mamba Interaction and Offset-Guided Fusion for Multimodal Object Detectioncited by 18
  19. 2022Adversarial Patch Attacks and Defences in Vision-Based Tasks: A Surveycited by 17
  20. 2023LOGICSEG: Parsing Visual Semantics with Neural Logic Learning and Reasoningcited by 17
  21. 2021Industrial Scene Text Detection with Refined Feature-attentive Networkcited by 16
  22. 2024Estimating Canopy Height at Scalecited by 16
  23. 2021Graph Attention Layer Evolves Semantic Segmentation for Road Pothole Detection: A Benchmark and Algorithmscited by 15
  24. 2025BRISC: Annotated Dataset for Brain Tumor Segmentation and Classificationcited by 15
  25. 2021Generating Physically-Consistent Satellite Imagery for Climate Visualizationscited by 13
  26. 2021Recurrence along Depth: Deep Convolutional Neural Networks with Recurrent Layer Aggregationcited by 13
  27. 2022RFMask: A Simple Baseline for Human Silhouette Segmentation with Radio Signalscited by 13
  28. 2023U-BEV: Height-aware Bird's-Eye-View Segmentation and Neural Map-based Relocalizationcited by 13
  29. 2021Person Re-identification via Attention Pyramidcited by 12
  30. 2024Contextrast: Contextual Contrastive Learning for Semantic Segmentationcited by 12
  31. 2024UrbanSARFloods: Sentinel-1 SLC-Based Benchmark Dataset for Urban and Open-Area Flood Mappingcited by 11
  32. 2021Evaluating Transformer-based Semantic Segmentation Networks for Pathological Image Segmentationcited by 10
  33. 2022Learning with Style: Continual Semantic Segmentation Across Tasks and Domainscited by 9
  34. 2023Attention Mechanisms in Medical Image Segmentation: A Surveycited by 9
  35. 2023HalluciDet: Hallucinating RGB Modality for Person Detection Through Privileged Informationcited by 8
  36. 2021Exposing Semantic Segmentation Failures via Maximum Discrepancy Competitioncited by 7
  37. 2021IPatch: A Remote Adversarial Patchcited by 7
  38. 2023MTNeuro: A Benchmark for Evaluating Representations of Brain Structure Across Multiple Levels of Abstractioncited by 7

50 most cited of 149 All 149 (JSON)