mlsanityData to 7 Oct 2026

Large Selective Kernel Network for Remote Sensing Object Detection

arXiv 2303.09030 ↗First posted 16 Mar 2023cs.CVcited by 98

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Abstract (arXiv)

Recent research on remote sensing object detection has largely focused on improving the representation of oriented bounding boxes but has overlooked the unique prior knowledge presented in remote sensing scenarios. Such prior knowledge can be useful because tiny remote sensing objects may be mistakenly detected without referencing a sufficiently long-range context, and the long-range context required by different types of objects can vary. In this paper, we take these priors into account and propose the Large Selective Kernel Network (LSKNet). LSKNet can dynamically adjust its large spatial receptive field to better model the ranging context of various objects in remote sensing scenarios. To the best of our knowledge, this is the first time that large and selective kernel mechanisms have been explored in the field of remote sensing object detection. Without bells and whistles, LSKNet sets new state-of-the-art scores on standard benchmarks, i.e., HRSC2016 (98.46% mAP), DOTA-v1.0 (81.85% mAP) and FAIR1M-v1.0 (47.87% mAP). Based on a similar technique, we rank 2nd place in 2022 the Greater Bay Area International Algorithm Competition. Code is available at https://github.com/zcablii/Large-Selective-Kernel-Network.

Key facts. Cited by 98 papers in the map (data through 7 Oct 2026). Builds on 61 of its 91 references that are in the map. First posted on arXiv 16 Mar 2023.

Builds on

61 of 91 references.

References · 61

  1. 2017Attention Is All You Needcited by 59,932
  2. 2020An Image is Worth 16x16 Words: Transformers for Image Recognition at Scalecited by 29,915
  3. 2014Microsoft COCO: Common Objects in Contextcited by 17,498
  4. 2021Swin Transformer: Hierarchical Vision Transformer using Shifted Windowscited by 12,082
  5. 2015Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networkscited by 9,617
  6. 2020End-to-End Object Detection with Transformerscited by 7,384
  7. 2017Squeeze-and-Excitation Networkscited by 4,763
  8. 2022A ConvNet for the 2020scited by 3,545
  9. 2018CBAM: Convolutional Block Attention Modulecited by 2,463
  10. 2021Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutionscited by 1,960
  11. 2021Vision Transformers for Dense Predictioncited by 1,789
  12. 2017Deformable Convolutional Networkscited by 1,481
38 more
  1. 2020Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformerscited by 1,368
  2. 2017Cascade R-CNN: Delving into High Quality Object Detectioncited by 1,275
  3. 2019Objects as Pointscited by 1,172
  4. 2018CornerNet: Detecting Objects as Paired Keypointscited by 763
  5. 2017Focal Loss for Dense Object Detectioncited by 749
  6. 2021PVT v2: Improved Baselines with Pyramid Vision Transformercited by 749
  7. 2023ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoderscited by 703
  8. 2018Deformable ConvNets v2: More Deformable, Better Resultscited by 666
  9. 2017DOTA: A Large-scale Dataset for Object Detection in Aerial Imagescited by 622
  10. 2017Understanding the Effective Receptive Field in Deep Convolutional Neural Networkscited by 549
  11. 2021MetaFormer Is Actually What You Need for Visioncited by 523
  12. 2020ResNeSt: Split-Attention Networkscited by 445
  13. 2019Selective Kernel Networkscited by 401
  14. 2019Dynamic Convolution: Attention over Convolution Kernelscited by 355
  15. 2019GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyondcited by 331
  16. 2019CondConv: Conditionally Parameterized Convolutions for Efficient Inferencecited by 273
  17. 2022SegNeXt: Rethinking Convolutional Attention Design for Semantic Segmentationcited by 252
  18. 2021Attention Mechanisms in Computer Vision: A Surveycited by 232
  19. 2021Oriented R-CNN for Object Detectioncited by 230
  20. 2022Visual Attention Networkcited by 210
  21. 2021ReDet: A Rotation-equivariant Detector for Aerial Object Detectioncited by 202
  22. 2019R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Objectcited by 193
  23. 2022RTMDet: An Empirical Study of Designing Real-Time Object Detectorscited by 192
  24. 2020Eigen-CAM: Class Activation Map using Principal Componentscited by 188
  25. 2020Align Deep Features for Oriented Object Detectioncited by 186
  26. 2018BAM: Bottleneck Attention Modulecited by 171
  27. 2021Rethinking Rotated Object Detection with Gaussian Wasserstein Distance Losscited by 156
  28. 2022Scaling Up Your Kernels to 31x31: Revisiting Large Kernel Design in CNNscited by 155
  29. 2023Large-scale Multi-Modal Pre-trained Models: A Comprehensive Surveycited by 153
  30. 2022Advancing Plain Vision Transformer Towards Remote Sensing Foundation Modelcited by 149
  31. 2021FAIR1M: A Benchmark Dataset for Fine-grained Object Recognition in High-Resolution Remote Sensing Imagerycited by 143
  32. 2022More ConvNets in the 2020s: Scaling up Kernels Beyond 51x51 using Sparsitycited by 142
  33. 2018Gather-Excite: Exploiting Feature Context in Convolutional Neural Networkscited by 138
  34. 2019Gliding vertex on the horizontal bounding box for multi-oriented object detectioncited by 134
  35. 2021Learning High-Precision Bounding Box for Rotated Object Detection via Kullback-Leibler Divergencecited by 130
  36. 2022MMRotate: A Rotated Object Detection Benchmark using PyTorchcited by 115
  37. 2021Anchor-free Oriented Proposal Generator for Object Detectioncited by 104
  38. 2021A Survey of Modern Deep Learning based Object Detection Modelscited by 97

50 most cited of 61 All 61 (JSON)

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 10; 2024: 39; 2025: 31; 2026: 18.

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  1. 2024MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretrainingcited by 66
  2. 2024MambaLLIE: Implicit Retinex-Aware Low Light Enhancement with Global-then-Local State Spacecited by 48
  3. 2024SARDet-100K: Towards Open-Source Benchmark and ToolKit for Large-Scale SAR Object Detectioncited by 47
  4. 2024LSKNet: A Foundation Lightweight Backbone for Remote Sensingcited by 44
  5. 2023Predicting Gradient is Better: Exploring Self-Supervised Learning for SAR ATR with a Joint-Embedding Predictive Architecturecited by 43
  6. 2023YOLO-MS: Rethinking Multi-Scale Representation Learning for Real-time Object Detectioncited by 33
  7. 2024STAR: A First-Ever Dataset and A Large-Scale Benchmark for Scene Graph Generation in Large-Size Satellite Imagerycited by 31
  8. 2024Pinwheel-shaped Convolution and Scale-based Dynamic Loss for Infrared Small Target Detectioncited by 31
  9. 2023PointOBB: Learning Oriented Object Detection via Single Point Supervisioncited by 25
  10. 2024SARATR-X: Toward Building A Foundation Model for SAR Target Recognitioncited by 25
  11. 2024SM3Det: A Unified Model for Multi-Modal Remote Sensing Object Detectioncited by 22
  12. 2024E2E-MFD: Towards End-to-End Synchronous Multimodal Fusion Detectioncited by 21
38 more
  1. 2023MoCaE: Mixture of Calibrated Experts Significantly Improves Object Detectioncited by 17
  2. 2024Pick of the Bunch: Detecting Infrared Small Targets Beyond Hit-Miss Trade-Offs via Selective Rank-Aware Attentioncited by 17
  3. 2025UAV-DETR: Efficient End-to-End Object Detection for Unmanned Aerial Vehicle Imagerycited by 15
  4. 2025Strip R-CNN: Large Strip Convolution for Remote Sensing Object Detectioncited by 14
  5. 2024GRA: Detecting Oriented Objects through Group-wise Rotating and Attentioncited by 13
  6. 2023Spatial Transform Decoupling for Oriented Object Detectioncited by 12
  7. 2024SOOD++: Leveraging Unlabeled Data to Boost Oriented Object Detectioncited by 12
  8. 2025RSAR: Restricted State Angle Resolver and Rotated SAR Benchmarkcited by 12
  9. 2025RPCANet++: Deep Interpretable Robust PCA for Sparse Object Segmentationcited by 11
  10. 2023RFAConv: Receptive-Field Attention Convolution for Improving Convolutional Neural Networkscited by 10
  11. 2024Multi-clue Consistency Learning to Bridge Gaps Between General and Oriented Object in Semi-supervised Detectioncited by 10
  12. 2024OrientedFormer: An End-to-End Transformer-Based Oriented Object Detector in Remote Sensing Imagescited by 10
  13. 2024Theoretically Achieving Continuous Representation of Oriented Bounding Boxescited by 9
  14. 2024D-Net: Dynamic Large Kernel with Dynamic Feature Fusion for Volumetric Medical Image Segmentationcited by 9
  15. 2025PointOBB-v3: Expanding Performance Boundaries of Single Point-Supervised Oriented Object Detectioncited by 9
  16. 2024DenoDet: Attention as Deformable Multi-Subspace Feature Denoising for Target Detection in SAR Imagescited by 8
  17. 2024EndoUIC: Promptable Diffusion Transformer for Unified Illumination Correction in Capsule Endoscopycited by 8
  18. 2024Dual Selective Fusion Transformer Network for Hyperspectral Image Classificationcited by 7
  19. 2024CC-Diff: Enhancing Contextual Coherence in Remote Sensing Image Synthesiscited by 7
  20. 2025LEGNet: A Lightweight Edge-Gaussian Network for Low-Quality Remote Sensing Image Object Detectioncited by 7
  21. 2025SCORE: Scene Context Matters in Open-Vocabulary Remote Sensing Instance Segmentationcited by 7
  22. 2025Visual Instruction Pretraining for Domain-Specific Foundation Modelscited by 7
  23. 2024Generalized Few-Shot Meets Remote Sensing: Discovering Novel Classes in Land Cover Mapping via Hybrid Semantic Segmentation Frameworkcited by 6
  24. 2025FSDENet: A Frequency and Spatial Domains based Detail Enhancement Network for Remote Sensing Semantic Segmentationcited by 6
  25. 2025More Clear, More Flexible, More Precise: A Comprehensive Oriented Object Detection benchmark for UAVcited by 5
  26. 2026GAC-KAN: An Ultra-Lightweight GNSS Interference Classifier for GenAI-Powered Consumer Edge Devicescited by 5
  27. 2023Edge-aware Feature Aggregation Network for Polyp Segmentationcited by 4
  28. 2024RepNeXt: A Fast Multi-Scale CNN using Structural Reparameterizationcited by 4
  29. 2025Measuring the Impact of Rotation Equivariance on Aerial Object Detectioncited by 4
  30. 2026SKANet: A Cognitive Dual-Stream Framework with Adaptive Modality Fusion for Robust Compound GNSS Interference Classificationcited by 4
  31. 2026PhyG-MoE: A Physics-Guided Mixture-of-Experts Framework for Energy-Efficient GNSS Interference Recognitioncited by 4
  32. 2024PDT: Uav Target Detection Dataset for Pests and Diseases Treecited by 3
  33. 2025Partial Weakly-Supervised Oriented Object Detectioncited by 3
  34. 2026ACPV-Net: All-Class Polygonal Vectorization for Seamless Vector Map Generation from Aerial Imagerycited by 3
  35. 2024Constellation Dataset: Benchmarking High-Altitude Object Detection for an Urban Intersectioncited by 2
  36. 2024ContextDet: Temporal Action Detection with Adaptive Context Aggregationcited by 2
  37. 2024MMO-IG: Multi-Class and Multi-Scale Object Image Generation for Remote Sensingcited by 2
  38. 2025Semantic-Spatial Feature Fusion with Dynamic Graph Refinement for Remote Sensing Image Captioningcited by 2

50 most cited of 98 All 98 (JSON)