mlsanityData to 7 Oct 2026

Feature Pyramid Network for Multi-Class Land Segmentation

arXiv 1806.03510 ↗First posted 9 Jun 2018cs.CVcited by 24

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Abstract (arXiv)

Semantic segmentation is in-demand in satellite imagery processing. Because of the complex environment, automatic categorization and segmentation of land cover is a challenging problem. Solving it can help to overcome many obstacles in urban planning, environmental engineering or natural landscape monitoring. In this paper, we propose an approach for automatic multi-class land segmentation based on a fully convolutional neural network of feature pyramid network (FPN) family. This network is consisted of pre-trained on ImageNet Resnet50 encoder and neatly developed decoder. Based on validation results, leaderboard score and our own experience this network shows reliable results for the DEEPGLOBE - CVPR 2018 land cover classification sub-challenge. Moreover, this network moderately uses memory that allows using GTX 1080 or 1080 TI video cards to perform whole training and makes pretty fast predictions.

Key facts. Cited by 24 papers in the map (data through 7 Oct 2026). First posted on arXiv 9 Jun 2018.

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Citing papers per year: 2021: 5; 2022: 6; 2023: 1; 2024: 6; 2025: 3; 2026: 3.

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  1. 2024LAA-Net: Localized Artifact Attention Network for Quality-Agnostic and Generalizable Deepfake Detectioncited by 88
  2. 2021Unseen Object Amodal Instance Segmentation via Hierarchical Occlusion Modelingcited by 43
  3. 2022Deep Fourier Up-Samplingcited by 27
  4. 2022Unsupervised Multi-View Object Segmentation Using Radiance Field Propagationcited by 22
  5. 2021Pyramid Medical Transformer for Medical Image Segmentationcited by 20
  6. 2024Imbalance-Aware Culvert-Sewer Defect Segmentation Using an Enhanced Feature Pyramid Networkcited by 7
  7. 2021Scale-aware Neural Network for Semantic Segmentation of Multi-resolution Remote Sensing Imagescited by 5
  8. 2022BriFiSeg: a deep learning-based method for semantic and instance segmentation of nuclei in brightfield imagescited by 5
  9. 2026Downstream Task Inspired Underwater Image Enhancement: A Perception-Aware Study from Dataset Construction to Network Designcited by 5
  10. 2021Fully convolutional Siamese neural networks for buildings damage assessment from satellite imagescited by 4
  11. 2022How Far Can I Go ? : A Self-Supervised Approach for Deterministic Video Depth Forecastingcited by 3
  12. 2022ISIM: Iterative Self-Improved Model for Weakly Supervised Segmentationcited by 2
12 more
  1. 2024Efficient Semantic Splatting for Remote Sensing Multi-view Segmentationcited by 2
  2. 2021LS-HDIB: A Large Scale Handwritten Document Image Binarization Datasetcited by 1
  3. 2022Scene-to-Patch Earth Observation: Multiple Instance Learning for Land Cover Classificationcited by 1
  4. 2025Topology-Aware Wavelet Mamba for Airway Structure Segmentation in Postoperative Recurrent Nasopharyngeal Carcinoma CT Scanscited by 1
  5. 2026BEV-SLD: Self-Supervised Scene Landmark Detection for Global Localization with LiDAR Bird's-Eye View Imagescited by 1
  6. 2023Voting Network for Contour Levee Farmland Segmentation and Classificationcited by 0
  7. 2024Hierarchical Frequency-based Upsampling and Refining for Compressed Video Quality Enhancementcited by 0
  8. 2024DMC-Net: Lightweight Dynamic Multi-Scale and Multi-Resolution Convolution Network for Pancreas Segmentation in CT Imagescited by 0
  9. 2024Multi-style conversion for semantic segmentation of lesions in fundus images by adversarial attackscited by 0
  10. 2025Multimodal surface defect detection from wooden logs for sawing optimizationcited by 0
  11. 2025CLAIRE: A Dual Encoder Network with RIFT Loss and Phi-3 Small Language Model Based Interpretability for Cross-Modality Synthetic Aperture Radar and Optical Land Cover Segmentationcited by 0
  12. 2026LAA-X: Unified Localized Artifact Attention for Quality-Agnostic and Generalizable Face Forgery Detectioncited by 0