mlsanityData to 7 Oct 2026

Dense Extreme Inception Network: Towards a Robust CNN Model for Edge Detection

arXiv 1909.01955 ↗First posted 4 Sep 2019cs.CV cs.LGcited by 104

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Abstract (arXiv)

This paper proposes a Deep Learning based edge detector, which is inspired on both HED (Holistically-Nested Edge Detection) and Xception networks. The proposed approach generates thin edge-maps that are plausible for human eyes; it can be used in any edge detection task without previous training or fine tuning process. As a second contribution, a large dataset with carefully annotated edges has been generated. This dataset has been used for training the proposed approach as well the state-of-the-art algorithms for comparisons. Quantitative and qualitative evaluations have been performed on different benchmarks showing improvements with the proposed method when F-measure of ODS and OIS are considered.

Key facts. Cited by 104 papers in the map (data through 7 Oct 2026). First posted on arXiv 4 Sep 2019.

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Citing papers per year: 2021: 14; 2022: 20; 2023: 18; 2024: 18; 2025: 24; 2026: 10.

104 papers.

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  1. 2023Sequential Modeling Enables Scalable Learning for Large Vision Modelscited by 212
  2. 2025Video models are zero-shot learners and reasonerscited by 208
  3. 2021Pixel Difference Networks for Efficient Edge Detectioncited by 167
  4. 2022A Whac-A-Mole Dilemma: Shortcuts Come in Multiples Where Mitigating One Amplifies Otherscited by 85
  5. 2022Balancing Discriminability and Transferability for Source-Free Domain Adaptationcited by 58
  6. 2022Open-World Instance Segmentation: Exploiting Pseudo Ground Truth From Learned Pairwise Affinitycited by 41
  7. 2021Dense Extreme Inception Network for Edge Detectioncited by 37
  8. 2022EDTER: Edge Detection with Transformercited by 35
  9. 2023Picture that Sketch: Photorealistic Image Generation from Abstract Sketchescited by 34
  10. 2021RINDNet: Edge Detection for Discontinuity in Reflectance, Illumination, Normal and Depthcited by 33
  11. 2024DiffusionEdge: Diffusion Probabilistic Model for Crisp Edge Detectioncited by 33
  12. 2023Prismer: A Vision-Language Model with Multi-Task Expertscited by 28
38 more
  1. 2023Tiny and Efficient Model for the Edge Detection Generalizationcited by 28
  2. 2025RelationAdapter: Learning and Transferring Visual Relation with Diffusion Transformerscited by 26
  3. 2022Rewriting Geometric Rules of a GANcited by 25
  4. 2024Learning A Low-Level Vision Generalist via Visual Task Promptcited by 18
  5. 2024Lightweight Pixel Difference Networks for Efficient Visual Representation Learningcited by 17
  6. 2021Improving Camouflaged Object Detection with the Uncertainty of Pseudo-edge Labelscited by 16
  7. 2023The Making and Breaking of Camouflagecited by 14
  8. 2025C3VDv2 -- Colonoscopy 3D video dataset with enhanced realismcited by 14
  9. 2021HED-UNet: Combined Segmentation and Edge Detection for Monitoring the Antarctic Coastlinecited by 13
  10. 20243D Neural Edge Reconstructioncited by 12
  11. 2023Delving into Crispness: Guided Label Refinement for Crisp Edge Detectioncited by 10
  12. 2024EdgeGaussians -- 3D Edge Mapping via Gaussian Splattingcited by 10
  13. 2025Curve-Aware Gaussian Splatting for 3D Parametric Curve Reconstructioncited by 9
  14. 2022Total Variation Optimization Layers for Computer Visioncited by 8
  15. 2023Controllable Visual-Tactile Synthesiscited by 8
  16. 2025Deep Learning in Concealed Dense Predictioncited by 6
  17. 2022One-Stage Deep Edge Detection Based on Dense-Scale Feature Fusion and Pixel-Level Imbalance Learningcited by 5
  18. 2023Literature Review: Computer Vision Applications in Transportation Logistics and Warehousingcited by 5
  19. 2024Generative Edge Detection with Stable Diffusioncited by 5
  20. 2025SketchSplat: 3D Edge Reconstruction via Differentiable Multi-view Sketch Splattingcited by 5
  21. 2025ToVE: Efficient Vision-Language Learning via Knowledge Transfer from Vision Expertscited by 5
  22. 2025Coarse Attribute Prediction with Task Agnostic Distillation for Real World Clothes Changing ReIDcited by 5
  23. 2025UniVid: Unifying Vision Tasks with Pre-trained Video Generation Modelscited by 5
  24. 2021Self-Supervised Learning in Multi-Task Graphs through Iterative Consensus Shiftcited by 4
  25. 2021The magnitude vector of imagescited by 4
  26. 2022Unsupervised Scene Sketch to Photo Synthesiscited by 4
  27. 2023CoSDA: Continual Source-Free Domain Adaptationcited by 4
  28. 2024Mismatched: Evaluating the Limits of Image Matching Approaches and Benchmarkscited by 4
  29. 2025Exploring Scalable Unified Modeling for General Low-Level Visioncited by 4
  30. 2021An End-to-End Computer Vision Methodology for Quantitative Metallographycited by 3
  31. 2022EdgeMixup: Improving Fairness for Skin Disease Classification and Segmentationcited by 3
  32. 2022Unsupervised Flow Refinement near Motion Boundariescited by 3
  33. 2024CT-Bound: Robust Boundary Detection From Noisy Images Via Hybrid Convolution and Transformer Neural Networkscited by 3
  34. 2025MixSA: Training-free Reference-based Sketch Extraction via Mixture-of-Self-Attentioncited by 3
  35. 2025Boosting Edge Detection with Pixel-wise Feature Selection: The Extractor-Selector Paradigmcited by 3
  36. 2021Deep Photo Scan: Semi-Supervised Learning for dealing with the real-world degradation in Smartphone Photo Scanningcited by 2
  37. 2021A Novel 3D-UNet Deep Learning Framework Based on High-Dimensional Bilateral Grid for Edge Consistent Single Image Depth Estimationcited by 2
  38. 2021Contour-guided Image Completion with Perceptual Groupingcited by 2

50 most cited of 104 All 104 (JSON)