Data to 14 Oct 2026

BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation

arXiv 1808.00897 ↗First posted 2 Aug 2018cs.CVcited by 645

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Cited by 38 in Diffusion models, but placed by its own abstract, which didn’t fit.

Abstract (arXiv)

Semantic segmentation requires both rich spatial information and sizeable receptive field. However, modern approaches usually compromise spatial resolution to achieve real-time inference speed, which leads to poor performance. In this paper, we address this dilemma with a novel Bilateral Segmentation Network (BiSeNet). We first design a Spatial Path with a small stride to preserve the spatial information and generate high-resolution features. Meanwhile, a Context Path with a fast downsampling strategy is employed to obtain sufficient receptive field. On top of the two paths, we introduce a new Feature Fusion Module to combine features efficiently. The proposed architecture makes a right balance between the speed and segmentation performance on Cityscapes, CamVid, and COCO-Stuff datasets. Specifically, for a 2048x1024 input, we achieve 68.4% Mean IOU on the Cityscapes test dataset with speed of 105 FPS on one NVIDIA Titan XP card, which is significantly faster than the existing methods with comparable performance.

Key facts. Cited by 645 papers in the map (data through 14 Oct 2026). First posted on arXiv 2 Aug 2018.

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2021: 146; 2022: 136; 2023: 133; 2024: 116; 2025: 69; 2026: 45.

645 papers.

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2021DiffusionCLIP: Text-Guided Diffusion Models for Robust Image Manipulationcited by 642
2022Diffusion Models already have a Semantic Latent Spacecited by 328
2023FreeDoM: Training-Free Energy-Guided Conditional Diffusion Modelcited by 294
2022SegNeXt: Rethinking Convolutional Attention Design for Semantic Segmentationcited by 252
2021Exploring Cross-Image Pixel Contrast for Semantic Segmentationcited by 242
2022CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformerscited by 231
2021HeadNeRF: A Real-time NeRF-based Parametric Head Modelcited by 228
2021Neural Head Avatars from Monocular RGB Videoscited by 213
2023Encoder-based Domain Tuning for Fast Personalization of Text-to-Image Modelscited by 203
2023NeRSemble: Multi-view Radiance Field Reconstruction of Human Headscited by 194
2021Pixel Difference Networks for Efficient Edge Detectioncited by 168
2021UNetFormer: A UNet-like Transformer for Efficient Semantic Segmentation of Remote Sensing Urban Scene Imagerycited by 167

38 more

2022Reconstructing Personalized Semantic Facial NeRF Models From Monocular Videocited by 128
2021Rethinking BiSeNet For Real-time Semantic Segmentationcited by 124
2023Transformer-Based Visual Segmentation: A Surveycited by 124
2022Cross-Image Relational Knowledge Distillation for Semantic Segmentationcited by 118
2021FENeRF: Face Editing in Neural Radiance Fieldscited by 112
2022Highly Accurate Dichotomous Image Segmentationcited by 110
2022VideoReTalking: Audio-based Lip Synchronization for Talking Head Video Editing In the Wildcited by 106
2022DifFace: Blind Face Restoration with Diffused Error Contractioncited by 97
2023Diffusion Model as Representation Learnercited by 95
2024DiLightNet: Fine-grained Lighting Control for Diffusion-based Image Generationcited by 93
2021Lite-HRNet: A Lightweight High-Resolution Networkcited by 91
2021Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road Scenescited by 89
2022PIDNet: A Real-time Semantic Segmentation Network Inspired by PID Controllerscited by 84
2022TopFormer: Token Pyramid Transformer for Mobile Semantic Segmentationcited by 82
2021FaPN: Feature-aligned Pyramid Network for Dense Image Predictioncited by 81
2022DiffFace: Diffusion-based Face Swapping with Facial Guidancecited by 77
2021Open-World Entity Segmentationcited by 74
2024What Matters When Repurposing Diffusion Models for General Dense Perception Tasks?cited by 74
2024Sigma: Siamese Mamba Network for Multi-Modal Semantic Segmentationcited by 71
2021Scene-aware Generative Network for Human Motion Synthesiscited by 70
2023MSeg3D: Multi-modal 3D Semantic Segmentation for Autonomous Drivingcited by 68
2022Learning to Relight Portrait Images via a Virtual Light Stage and Synthetic-to-Real Adaptationcited by 67
2024Face Adapter for Pre-Trained Diffusion Models with Fine-Grained ID and Attribute Controlcited by 67
2023BlendFace: Re-designing Identity Encoders for Face-Swappingcited by 66
2021Focus on Local: Detecting Lane Marker from Bottom Up via Key Pointcited by 65
2024TalkingGaussian: Structure-Persistent 3D Talking Head Synthesis via Gaussian Splattingcited by 60
2024SAM2-Adapter: Evaluating & Adapting Segment Anything 2 in Downstream Tasks: Camouflage, Shadow, Medical Image Segmentation, and Morecited by 60
2024Multi-Task Dense Prediction via Mixture of Low-Rank Expertscited by 58
2021Semantic Scene Completion via Integrating Instances and Scene in-the-Loopcited by 55
2021Evaluating the Robustness of Semantic Segmentation for Autonomous Driving against Real-World Adversarial Patch Attackscited by 55
2021Labels4Free: Unsupervised Segmentation using StyleGANcited by 53
2023A Dynamic Multi-Scale Voxel Flow Network for Video Predictioncited by 53
2023SAM Fails to Segment Anything? -- SAM-Adapter: Adapting SAM in Underperformed Scenes: Camouflage, Shadow, Medical Image Segmentation, and Morecited by 53
2021Learning Statistical Texture for Semantic Segmentationcited by 51
2021Capturing Omni-Range Context for Omnidirectional Segmentationcited by 50
2021OpenForensics: Large-Scale Challenging Dataset For Multi-Face Forgery Detection And Segmentation In-The-Wildcited by 50
2021Self-Supervised Material and Texture Representation Learning for Remote Sensing Taskscited by 49
2024DAVE -- A Detect-and-Verify Paradigm for Low-Shot Countingcited by 49

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