mlsanityData to 7 Oct 2026

Oriented Edge Forests for Boundary Detection

arXiv 1412.4181 ↗First posted 13 Dec 2014cs.CVcited by 25

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Abstract (arXiv)

We present a simple, efficient model for learning boundary detection based on a random forest classifier. Our approach combines (1) efficient clustering of training examples based on simple partitioning of the space of local edge orientations and (2) scale-dependent calibration of individual tree output probabilities prior to multiscale combination. The resulting model outperforms published results on the challenging BSDS500 boundary detection benchmark. Further, on large datasets our model requires substantially less memory for training and speeds up training time by a factor of 10 over the structured forest model.

Key facts. Cited by 25 papers in the map (data through 7 Oct 2026). First posted on arXiv 13 Dec 2014.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 3; 2022: 3; 2023: 5; 2024: 9; 2025: 3; 2026: 2.

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  1. 2021Pixel Difference Networks for Efficient Edge Detectioncited by 167
  2. 2022EDTER: Edge Detection with Transformercited by 35
  3. 2024DiffusionEdge: Diffusion Probabilistic Model for Crisp Edge Detectioncited by 33
  4. 2023The Treasure Beneath Multiple Annotations: An Uncertainty-aware Edge Detectorcited by 25
  5. 2024OmniControlNet: Dual-stage Integration for Conditional Image Generationcited by 24
  6. 2024RankED: Addressing Imbalance and Uncertainty in Edge Detection Using Ranking-based Lossescited by 18
  7. 2024Lightweight Pixel Difference Networks for Efficient Visual Representation Learningcited by 17
  8. 2023Practical Edge Detection via Robust Collaborative Learningcited by 12
  9. 2021Probabilistic Graph Attention Network with Conditional Kernels for Pixel-Wise Predictioncited by 8
  10. 2024SAUGE: Taming SAM for Uncertainty-Aligned Multi-Granularity Edge Detectioncited by 7
  11. 2024EdgeNAT: Transformer for Efficient Edge Detectioncited by 6
  12. 2022STEdge: Self-training Edge Detection with Multi-layer Teaching and Regularizationcited by 2
13 more
  1. 2022Zero Pixel Directional Boundary by Vector Transformcited by 2
  2. 2023Zero-Shot Edge Detection with SCESAME: Spectral Clustering-based Ensemble for Segment Anything Model Estimationcited by 2
  3. 2025EDMB: Edge Detector with Mambacited by 2
  4. 2024Learning to utilize image second-order derivative information for crisp edge detectioncited by 1
  5. 2024A new baseline for edge detection: Make Encoder-Decoder great againcited by 1
  6. 2026MEMO: Human-like Crisp Edge Detection Using Masked Edge Predictioncited by 1
  7. 2021A relic sketch extraction framework based on detail-aware hierarchical deep networkcited by 0
  8. 2023Compact Twice Fusion Network for Edge Detectioncited by 0
  9. 2023Holistic Geometric Feature Learning for Structured Reconstructioncited by 0
  10. 2024A New Class Biorthogonal Spline Wavelet for Image Edge Detectioncited by 0
  11. 2025Training-free Quantum-Inspired Image Edge Extraction Methodcited by 0
  12. 2025PEdger++: Practical Edge Detection via Assembling Cross Informationcited by 0
  13. 2026Amped: Adaptive Multi-stage Non-edge Pruning for Edge Detectioncited by 0