mlsanityData to 7 Oct 2026

OMR: Occlusion-Aware Memory-Based Refinement for Video Lane Detection

arXiv 2408.07486 ↗First posted 14 Aug 2024cs.CVcited by 4

Not on the map. Why?

Abstract (arXiv)

A novel algorithm for video lane detection is proposed in this paper. First, we extract a feature map for a current frame and detect a latent mask for obstacles occluding lanes. Then, we enhance the feature map by developing an occlusion-aware memory-based refinement (OMR) module. It takes the obstacle mask and feature map from the current frame, previous output, and memory information as input, and processes them recursively in a video. Moreover, we apply a novel data augmentation scheme for training the OMR module effectively. Experimental results show that the proposed algorithm outperforms existing techniques on video lane datasets. Our codes are available at https://github.com/dongkwonjin/OMR.

Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). Builds on 30 of its 43 references that are in the map. First posted on arXiv 14 Aug 2024.

Builds on

30 of 43 references.

References · 30

  1. 2017Attention Is All You Needcited by 59,932
  2. 2015Deep Residual Learning for Image Recognitioncited by 51,809
  3. 2016The Cityscapes Dataset for Semantic Urban Scene Understandingcited by 4,427
  4. 2021SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformerscited by 2,923
  5. 2015Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcastingcited by 1,428
  6. 2018Deformable ConvNets v2: More Deformable, Better Resultscited by 666
  7. 2019Video Object Segmentation using Space-Time Memory Networkscited by 436
  8. 2017Spatial As Deep: Spatial CNN for Traffic Scene Understandingcited by 187
  9. 2019Learning Lightweight Lane Detection CNNs by Self Attention Distillationcited by 162
  10. 2022PersFormer: 3D Lane Detection via Perspective Transformer and the OpenLane Benchmarkcited by 140
  11. 2020Keep your Eyes on the Lane: Real-time Attention-guided Lane Detectioncited by 137
  12. 2018Towards End-to-End Lane Detection: an Instance Segmentation Approachcited by 129
18 more
  1. 2020Ultra Fast Structure-aware Deep Lane Detectioncited by 121
  2. 2020End-to-end Lane Shape Prediction with Transformerscited by 111
  3. 2020PolyLaneNet: Lane Estimation via Deep Polynomial Regressioncited by 95
  4. 2021CondLaneNet: a Top-to-down Lane Detection Framework Based on Conditional Convolutioncited by 95
  5. 2022Rethinking Efficient Lane Detection via Curve Modelingcited by 87
  6. 2022CLRNet: Cross Layer Refinement Network for Lane Detectioncited by 82
  7. 2020CurveLane-NAS: Unifying Lane-Sensitive Architecture Search and Adaptive Point Blendingcited by 80
  8. 2020RESA: Recurrent Feature-Shift Aggregator for Lane Detectioncited by 77
  9. 2022A Keypoint-based Global Association Network for Lane Detectioncited by 68
  10. 2021Focus on Local: Detecting Lane Marker from Bottom Up via Key Pointcited by 65
  11. 2020Inter-Region Affinity Distillation for Road Marking Segmentationcited by 58
  12. 2014Real time Detection of Lane Markers in Urban Streetscited by 41
  13. 2019Robust Lane Detection from Continuous Driving Scenes Using Deep Neural Networkscited by 41
  14. 2022Eigenlanes: Data-Driven Lane Descriptors for Structurally Diverse Lanescited by 32
  15. 2021VIL-100: A New Dataset and A Baseline Model for Video Instance Lane Detectioncited by 21
  16. 2022RCLane: Relay Chain Prediction for Lane Detectioncited by 20
  17. 2023ADNet: Lane Shape Prediction via Anchor Decompositioncited by 14
  18. 2023Recursive Video Lane Detectioncited by 9

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 2; 2025: 0; 2026: 2.

4 papers.

  1. 2024Monocular Lane Detection Based on Deep Learning: A Surveycited by 4
  2. 2024LaneTCA: Enhancing Video Lane Detection with Temporal Context Aggregationcited by 3
  3. 2026Driving Video Retrieval for Complex Queries with Structured Groundingcited by 1
  4. 2026SIGMA-Lane: Scale-pyramId Gated MAmba for Temporally Consistent Video Lane Detectioncited by 0