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 …

Transformer based conditional GAN for multimodal image fusion

J Zhang, L Jiao, W Ma, F Liu, X Liu, L Li… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
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 …

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 …

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 …

Knowledge Distillation SegFormer-Based Network for RGB-T Semantic Segmentation

W Zhou, T Gong, W Yan - IEEE Transactions on Systems, Man …, 2024 - ieeexplore.ieee.org
Deep-learning-based semantic segmentation has received increasing research attention in
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

J Li, Y Dai, X Su, W Wu - Remote Sensing, 2022 - mdpi.com
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 …

Dual contrastive learning network for graph clustering

X Peng, J Cheng, X Tang, J Liu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Graph representation is an important part of graph clustering. Recently, contrastive learning,
which maximizes the mutual information between augmented graph views that share the …

Strip and asymmetric aggregation network for unstructured terrain segmentation in wild environments

W Li, S Tian, Y Zhang, M Liao, G Hua, W Zou - Engineering Applications of …, 2024 - Elsevier
Recent studies have demonstrated the significant importance of two factors: global context
and multi-level semantics, for semantic segmentation models. However, obtaining features …

MIFNet: A lightweight multiscale information fusion network

J Cheng, X Peng, X Tang, W Tu… - International Journal of …, 2022 - Wiley Online Library
Semantic segmentation technique plays a crucial role in Internet of Things applications,
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 …