深度学习实时语义分割算法研究综述.
何家峰, 陈宏伟, 骆德汉 - Journal of Computer Engineering …, 2023 - search.ebscohost.com
语义分割是从像素的角度分割出图片中的不同对象, 并对原始图片中的每个像素进行标注的一种
技术. 但由于无人机导航, 遥感图像, 医疗诊断等应用领域需要实时地进行语义分割处理. 所以 …
技术. 但由于无人机导航, 遥感图像, 医疗诊断等应用领域需要实时地进行语义分割处理. 所以 …
Transformer based conditional GAN for multimodal image fusion
Multimodal Image fusion is becoming urgent in multi-sensor information utilization. However,
existing end-to-end image fusion frameworks ignore a priori knowledge integration and long …
existing end-to-end image fusion frameworks ignore a priori knowledge integration and long …
Urban rail transit obstacle detection based on Improved R-CNN
D He, R Ren, K Li, Z Zou, R Ma, Y Qin, W Yang - Measurement, 2022 - Elsevier
Excellent active obstacle detection capability is critical to operate fully automatic trains safely
and reliably. There are some problems exist in the traditional sensor-based obstacle …
and reliably. There are some problems exist in the traditional sensor-based obstacle …
Lightweight multi-scale attention-guided network for real-time semantic segmentation
X Hu, Y Liu - Image and Vision Computing, 2023 - Elsevier
The wide application of small mobile devices makes the demand for lightweight real-time
semantic segmentation algorithm become more and more intense, which makes it become …
semantic segmentation algorithm become more and more intense, which makes it become …
Knowledge Distillation SegFormer-Based Network for RGB-T Semantic Segmentation
Deep-learning-based semantic segmentation has received increasing research attention in
recent years. However, owing to complex architectures, existing approaches have failed to …
recent years. However, owing to complex architectures, existing approaches have failed to …
[HTML][HTML] Efficient dual-branch bottleneck networks of semantic segmentation based on ccd camera
This paper investigates a novel Efficient Dual-branch Bottleneck Network (EDBNet) to
perform real-time semantic segmentation tasks on mobile robot systems based on CCD …
perform real-time semantic segmentation tasks on mobile robot systems based on CCD …
Dual contrastive learning network for graph clustering
Graph representation is an important part of graph clustering. Recently, contrastive learning,
which maximizes the mutual information between augmented graph views that share the …
which maximizes the mutual information between augmented graph views that share the …
Strip and asymmetric aggregation network for unstructured terrain segmentation in wild environments
Recent studies have demonstrated the significant importance of two factors: global context
and multi-level semantics, for semantic segmentation models. However, obtaining features …
and multi-level semantics, for semantic segmentation models. However, obtaining features …
MIFNet: A lightweight multiscale information fusion network
Semantic segmentation technique plays a crucial role in Internet of Things applications,
such as industrial robotics and self‐driving. Recently deep learning approaches have …
such as industrial robotics and self‐driving. Recently deep learning approaches have …
MFAFNet: A Lightweight and Efficient Network with Multi-Level Feature Adaptive Fusion for Real-Time Semantic Segmentation
K Lu, J Cheng, H Li, T Ouyang - Sensors, 2023 - mdpi.com
Currently, real-time semantic segmentation networks are intensely demanded in resource-
constrained practical applications, such as mobile devices, drones and autonomous driving …
constrained practical applications, such as mobile devices, drones and autonomous driving …