mlsanityData to 7 Oct 2026

Learning a Discriminative Feature Network for Semantic Segmentation

arXiv 1804.09337 ↗First posted 25 Apr 2018cs.CVcited by 114

Not on the map. Why?

Abstract (arXiv)

Most existing methods of semantic segmentation still suffer from two aspects of challenges: intra-class inconsistency and inter-class indistinction. To tackle these two problems, we propose a Discriminative Feature Network (DFN), which contains two sub-networks: Smooth Network and Border Network. Specifically, to handle the intra-class inconsistency problem, we specially design a Smooth Network with Channel Attention Block and global average pooling to select the more discriminative features. Furthermore, we propose a Border Network to make the bilateral features of boundary distinguishable with deep semantic boundary supervision. Based on our proposed DFN, we achieve state-of-the-art performance 86.2% mean IOU on PASCAL VOC 2012 and 80.3% mean IOU on Cityscapes dataset.

Key facts. Cited by 114 papers in the map (data through 7 Oct 2026). First posted on arXiv 25 Apr 2018.

Builds on

No reference list yet.

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 50; 2022: 27; 2023: 18; 2024: 9; 2025: 5; 2026: 5.

114 papers.

Sort:

By area:

  1. 2021SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformerscited by 2,923
  2. 2021MonoScene: Monocular 3D Semantic Scene Completioncited by 357
  3. 2021Exploring Cross-Image Pixel Contrast for Semantic Segmentationcited by 242
  4. 2022CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformerscited by 229
  5. 2022DKM: Dense Kernelized Feature Matching for Geometry Estimationcited by 174
  6. 2023Towards Open Vocabulary Learning: A Surveycited by 165
  7. 2022Rethinking Semantic Segmentation: A Prototype Viewcited by 140
  8. 2023Transformer-Based Visual Segmentation: A Surveycited by 124
  9. 2021MVSS-Net: Multi-View Multi-Scale Supervised Networks for Image Manipulation Detectioncited by 117
  10. 2021Image Manipulation Detection by Multi-View Multi-Scale Supervisioncited by 111
  11. 2021Beyond Self-attention: External Attention using Two Linear Layers for Visual Taskscited by 109
  12. 2022Real-Time Scene Text Detection with Differentiable Binarization and Adaptive Scale Fusioncited by 94
38 more
  1. 2021Lite-HRNet: A Lightweight High-Resolution Networkcited by 91
  2. 2021Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road Scenescited by 89
  3. 2021DANNet: A One-Stage Domain Adaptation Network for Unsupervised Nighttime Semantic Segmentationcited by 80
  4. 2021Is Attention Better Than Matrix Decomposition?cited by 75
  5. 2021Open-World Entity Segmentationcited by 74
  6. 2021Learning Normal Dynamics in Videos with Meta Prototype Networkcited by 71
  7. 2024Sigma: Siamese Mamba Network for Multi-Modal Semantic Segmentationcited by 71
  8. 2021DeepMultiCap: Performance Capture of Multiple Characters Using Sparse Multiview Camerascited by 67
  9. 2023Dynamic Token Pruning in Plain Vision Transformers for Semantic Segmentationcited by 61
  10. 2024Frequency-aware Feature Fusion for Dense Image Predictioncited by 48
  11. 2021Edge-aware Guidance Fusion Network for RGB Thermal Scene Parsingcited by 44
  12. 2021CTNet: Context-based Tandem Network for Semantic Segmentationcited by 43
  13. 2021Polarized Self-Attention: Towards High-quality Pixel-wise Regressioncited by 39
  14. 2021Instance-wise Occlusion and Depth Orders in Natural Scenescited by 31
  15. 2022Learning Implicit Feature Alignment Function for Semantic Segmentationcited by 31
  16. 2024SegMAN: Omni-scale Context Modeling with State Space Models and Local Attention for Semantic Segmentationcited by 31
  17. 2021Attention-guided Temporally Coherent Video Object Mattingcited by 25
  18. 2022Learning Local and Global Temporal Contexts for Video Semantic Segmentationcited by 24
  19. 2022Prompt-Matched Semantic Segmentationcited by 22
  20. 2022CNN Filter DB: An Empirical Investigation of Trained Convolutional Filterscited by 20
  21. 2021CycleSegNet: Object Co-segmentation with Cycle Refinement and Region Correspondencecited by 19
  22. 2021FBSNet: A Fast Bilateral Symmetrical Network for Real-Time Semantic Segmentationcited by 17
  23. 2021Dense Gaussian Processes for Few-Shot Segmentationcited by 17
  24. 2023LOGICSEG: Parsing Visual Semantics with Neural Logic Learning and Reasoningcited by 17
  25. 2021Semantically Meaningful Class Prototype Learning for One-Shot Image Semantic Segmentationcited by 15
  26. 2025Dense-SfM: Structure from Motion with Dense Consistent Matchingcited by 15
  27. 2021Sequential vessel segmentation via deep channel attention networkcited by 14
  28. 2021AttaNet: Attention-Augmented Network for Fast and Accurate Scene Parsingcited by 14
  29. 2021A Unified Efficient Pyramid Transformer for Semantic Segmentationcited by 14
  30. 2022FAKD: Feature Augmented Knowledge Distillation for Semantic Segmentationcited by 14
  31. 2021Detecting Anomalies in Semantic Segmentation with Prototypescited by 13
  32. 2022DooDLeNet: Double DeepLab Enhanced Feature Fusion for Thermal-color Semantic Segmentationcited by 12
  33. 2023Low-Resolution Self-Attention for Semantic Segmentationcited by 12
  34. 2024Contextrast: Contextual Contrastive Learning for Semantic Segmentationcited by 12
  35. 2021Dynamic Neural Representational Decoders for High-Resolution Semantic Segmentationcited by 11
  36. 2021Fully Attentional Network for Semantic Segmentationcited by 11
  37. 2022SFNet: Faster and Accurate Semantic Segmentation via Semantic Flowcited by 10
  38. 2023Residual Spatial Fusion Network for RGB-Thermal Semantic Segmentationcited by 10

50 most cited of 114 All 114 (JSON)