mlsanityData to 7 Oct 2026

ICNet for Real-Time Semantic Segmentation on High-Resolution Images

arXiv 1704.08545 ↗First posted 27 Apr 2017cs.CVcited by 261

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Abstract (arXiv)

We focus on the challenging task of real-time semantic segmentation in this paper. It finds many practical applications and yet is with fundamental difficulty of reducing a large portion of computation for pixel-wise label inference. We propose an image cascade network (ICNet) that incorporates multi-resolution branches under proper label guidance to address this challenge. We provide in-depth analysis of our framework and introduce the cascade feature fusion unit to quickly achieve high-quality segmentation. Our system yields real-time inference on a single GPU card with decent quality results evaluated on challenging datasets like Cityscapes, CamVid and COCO-Stuff.

Key facts. Cited by 261 papers in the map (data through 7 Oct 2026). First posted on arXiv 27 Apr 2017.

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Citing papers per year: 2021: 72; 2022: 70; 2023: 52; 2024: 33; 2025: 22; 2026: 12.

261 papers.

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  1. 2021SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformerscited by 2,923
  2. 2023LISA: Reasoning Segmentation via Large Language Modelcited by 770
  3. 2023Segment Anything in High Qualitycited by 373
  4. 2022SegNeXt: Rethinking Convolutional Attention Design for Semantic Segmentationcited by 252
  5. 2022Understanding The Robustness in Vision Transformerscited by 144
  6. 2021Rethinking BiSeNet For Real-time Semantic Segmentationcited by 124
  7. 2023Transformer-Based Visual Segmentation: A Surveycited by 124
  8. 2022Cross-Image Relational Knowledge Distillation for Semantic Segmentationcited by 117
  9. 2021Semi-supervised Semantic Segmentation with Directional Context-aware Consistencycited by 112
  10. 2024Bilateral Reference for High-Resolution Dichotomous Image Segmentationcited by 112
  11. 2022Highly Accurate Dichotomous Image Segmentationcited by 110
  12. 2021Pixel-wise Anomaly Detection in Complex Driving Scenescited by 109
38 more
  1. 2021SSTVOS: Sparse Spatiotemporal Transformers for Video Object Segmentationcited by 106
  2. 2021Bidirectional Projection Network for Cross Dimension Scene Understandingcited by 95
  3. 2021Lite-HRNet: A Lightweight High-Resolution Networkcited by 91
  4. 2021Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road Scenescited by 89
  5. 2022PIDNet: A Real-time Semantic Segmentation Network Inspired by PID Controllerscited by 84
  6. 2022TopFormer: Token Pyramid Transformer for Mobile Semantic Segmentationcited by 82
  7. 2021FaPN: Feature-aligned Pyramid Network for Dense Image Predictioncited by 81
  8. 2024What Matters When Repurposing Diffusion Models for General Dense Perception Tasks?cited by 74
  9. 2021Token Pooling in Vision Transformerscited by 68
  10. 2022Physical Adversarial Attack meets Computer Vision: A Decade Surveycited by 66
  11. 2022PODA: Prompt-driven Zero-shot Domain Adaptationcited by 60
  12. 2021Evaluating the Robustness of Semantic Segmentation for Autonomous Driving against Real-World Adversarial Patch Attackscited by 55
  13. 2021Capturing Omni-Range Context for Omnidirectional Segmentationcited by 49
  14. 2021Enhanced Boundary Learning for Glass-like Object Segmentationcited by 48
  15. 20213D-to-2D Distillation for Indoor Scene Parsingcited by 47
  16. 2021Deep Reinforcement Learning in Computer Vision: A Comprehensive Surveycited by 42
  17. 2022EfficientViT: Multi-Scale Linear Attention for High-Resolution Dense Predictioncited by 42
  18. 2023You Only Segment Once: Towards Real-Time Panoptic Segmentationcited by 40
  19. 2023EdgeSAM: Prompt-In-the-Loop Distillation for SAMcited by 40
  20. 2023See, Say, and Segment: Teaching LMMs to Overcome False Premisescited by 40
  21. 2021Progressive Semantic Segmentationcited by 35
  22. 2023Segment Anything Model (SAM) Meets Glass: Mirror and Transparent Objects Cannot Be Easily Detectedcited by 34
  23. 2023Structural and Statistical Texture Knowledge Distillation for Semantic Segmentationcited by 34
  24. 2021PaddleSeg: A High-Efficient Development Toolkit for Image Segmentationcited by 33
  25. 2022PP-LiteSeg: A Superior Real-Time Semantic Segmentation Modelcited by 33
  26. 2021PFENet++: Boosting Few-shot Semantic Segmentation with the Noise-filtered Context-aware Prior Maskcited by 31
  27. 2021High Quality Segmentation for Ultra High-resolution Imagescited by 31
  28. 2022RTFormer: Efficient Design for Real-Time Semantic Segmentation with Transformercited by 31
  29. 2021Trans4Trans: Efficient Transformer for Transparent Object Segmentation to Help Visually Impaired People Navigate in the Real Worldcited by 30
  30. 2022On the Real-World Adversarial Robustness of Real-Time Semantic Segmentation Models for Autonomous Drivingcited by 30
  31. 2021Transformer Meets Convolution: A Bilateral Awareness Network for Semantic Segmentation of Very Fine Resolution Urban Scene Imagescited by 28
  32. 2023SegRefiner: Towards Model-Agnostic Segmentation Refinement with Discrete Diffusion Processcited by 28
  33. 2023Semantic Image Segmentation: Two Decades of Researchcited by 26
  34. 2021Local Memory Attention for Fast Video Semantic Segmentationcited by 25
  35. 2021Smart at what cost? Characterising Mobile Deep Neural Networks in the wildcited by 25
  36. 2022Interclass Prototype Relation for Few-Shot Segmentationcited by 25
  37. 2024CoReS: Orchestrating the Dance of Reasoning and Segmentationcited by 25
  38. 2022Universal Adversarial Examples in Remote Sensing: Methodology and Benchmarkcited by 24

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