ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation
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Abstract (arXiv)
The ability to perform pixel-wise semantic segmentation in real-time is of paramount importance in mobile applications. Recent deep neural networks aimed at this task have the disadvantage of requiring a large number of floating point operations and have long run-times that hinder their usability. In this paper, we propose a novel deep neural network architecture named ENet (efficient neural network), created specifically for tasks requiring low latency operation. ENet is up to 18× faster, requires 75× less FLOPs, has 79× less parameters, and provides similar or better accuracy to existing models. We have tested it on CamVid, Cityscapes and SUN datasets and report on comparisons with existing state-of-the-art methods, and the trade-offs between accuracy and processing time of a network. We present performance measurements of the proposed architecture on embedded systems and suggest possible software improvements that could make ENet even faster.
Key facts. Cited by 291 papers in the map (data through 7 Oct 2026). First posted on arXiv 7 Jun 2016.
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Citing papers per year: 2018: 1; 2019: 0; 2020: 0; 2021: 80; 2022: 70; 2023: 60; 2024: 35; 2025: 25; 2026: 20.
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50 most cited of 291 All 291 (JSON)
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50 newest of 291 All 291 (JSON)
- 2024Large Language Model Agent for Hyper-Parameter Optimizationcited by 62
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- 2021YOLOP: You Only Look Once for Panoptic Driving Perception25 Aug 2021
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- 2021Pixel Difference Networks for Efficient Edge Detectioncited by 167
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- 2021InstanceRefer: Cooperative Holistic Understanding for Visual Grounding on Point Clouds through Instance Multi-level Contextual Referringcited by 140
- 2021Rethinking BiSeNet For Real-time Semantic Segmentationcited by 124
- 2022Cross-Image Relational Knowledge Distillation for Semantic Segmentationcited by 117
- 2021Neural Parts: Learning Expressive 3D Shape Abstractions with Invertible Neural Networkscited by 101
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12 most cited of 282 All 282 (JSON)
- 2026When Simplicity Wins: Bottleneck-Aware Context Modeling for Lightweight Semantic Segmentation19 Aug 2026
- 2026Real-Time Semantic Segmentation with Optimized RetinaNet Architectures for Embedded Automotive Systems21 Jul 2026
- 2026RainDancer: RGB-Event Video Deraining with Rain-Oriented Spiking Dynamics15 Jul 2026
- 2026Self-Healing Visual Recovery for Autonomous Ground Vehicles Using Camera-Only Visual Odometry13 Jul 2026
- 2026GABI: Geometry-Aware Boundary Integration for Spacecraft Segmentation30 May 2026
- 2026PILOT: A Data-Free Continual Learning Approach for Real-Time Semantic Segmentation via Boundary Guidance26 May 2026
- 2026ATV-Net: Adaptive Triple-View Network with Dynamic Feature Fusion25 May 2026
- 2026DA-SegFormer: Damage-Aware Semantic Segmentation for Fine-Grained Disaster Assessment11 May 2026
- 2026Geometric Flood Depth Estimation: Fusing Transformer-Based Segmentation with Digital Elevation Models8 May 2026
- 2026Mammographic Lesion Segmentation with Lightweight Models: A Comparative Study26 Apr 2026
- 2026TwinMixing: A Shuffle-Aware Feature Interaction Model for Multi-Task Segmentation30 Mar 2026
- 2026A reconfigurable smart camera implementation for jet flames characterization based on an optimized segmentation model19 Mar 2026
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