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ZMNet: feature fusion and semantic boundary supervision for real-time semantic segmentation
Feature fusion module is an essential component of real-time semantic segmentation networks to bridge the semantic gap among different feature...
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BENet: boundary-enhanced network for real-time semantic segmentation
In the realm of real-time semantic segmentation, deep neural networks have demonstrated promising potential. However, current methods face challenges...
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Efficient real-time semantic segmentation: accelerating accuracy with fast non-local attention
As an essential aspect of semantic segmentation, real-time semantic segmentation poses significant challenge in achieving trade-off between...
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ResLMFFNet: a real-time semantic segmentation network for precision agriculture
Lightweight multiscale-feature-fusion network (LMFFNet), a proficient real-time CNN architecture, adeptly achieves a balance between inference time...
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DAABNet: depth-wise asymmetric attention bottleneck for real-time semantic segmentation
With the increasing demand for the real-world applications such as autonomous driving and video surveillance, lightweight semantic segmentation...
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LBCNet: A lightweight bilateral cascaded feature fusion network for real-time semantic segmentation
Semantic segmentation is critical in enabling self-driving cars to understand their environment. However, existing real-time segmentation networks...
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LDANet: the laplace-guided detail-constrained asymmetric network for real-time semantic segmentation
The current mainstream image semantic segmentation networks often suffer from mis-segmentation, segmentation discontinuity, and high model...
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Real-Time Semantic Edge Segmentation Using Modified Channelwise Feature Pyramid
In the forthcoming decades, real-time image processing will play a crucial role in computer vision. The rise in population has resulted in a higher...
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LFFNet: lightweight feature-enhanced fusion network for real-time semantic segmentation of road scenes
Deep neural networks have significantly improved semantic segmentation, but their great performance frequently comes at the expense of expensive...
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EMFANet: a lightweight network with efficient multi-scale feature aggregation for real-time semantic segmentation
In recent years, the performance of real-time semantic segmentation has increasingly become a research focus for real-time applications such as...
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FBRNet: a feature fusion and border refinement network for real-time semantic segmentation
Existing semantic segmentation networks perform well in accuracy by spending much computation. However, for practical applications, not only high...
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EGBNet: a real-time edge-guided bilateral network for nighttime semantic segmentation
Due to poor illumination and low contrast, semantic segmentation of nighttime images faces major challenges. Various segmentation models with a large...
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Dual Context Network for real-time semantic segmentation
Real-time semantic segmentation is a challenging task as both segmentation accuracy and inference speed need to be considered at the same time. In...
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Real-time power line segmentation detection based on multi-attention with strong semantic feature extractor
Power line is an important part of the transmission line, is the only carrier of power transmission, so the detection of power lines is to ensure the...
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Light-Deeplabv3+: a lightweight real-time semantic segmentation method for complex environment perception
Current semantic segmentation methods have high accuracy. However, it has the disadvantage of high computational complexity and time consumption,...
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Real-time semantic segmentation network based on parallel atrous convolution for short-term dense concatenate and attention feature fusion
To address the problem of incomplete segmentation of large objects and miss-segmentation of tiny objects that is universally existing in semantic...
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Lightweight and real-time semantic segmentation of UAV traffic videos based on siamese network for keyframe recognition
Unmanned aerial vehicle (UAV) videos exhibit complex motion features of objects and significant feature differences among frames. To address the...
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ELANet: Effective Lightweight Attention-Guided Network for Real-Time Semantic Segmentation
Deep neural networks have greatly facilitated the applications of semantic segmentation. However, most of the existing neural networks bring massive...
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Real-Time Semantic Segmentation via an Efficient Multi-Column Network
Existing semantic segmentation networks based on the multi-column structure can hardly satisfy the efficiency and precision requirements...
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Real-time efficient semantic segmentation network based on improved ASPP and parallel fusion module in complex scenes
Semantic segmentation can help the perception link to better build an understanding of complex scenes, and can assist the unmanned system to better...
