Results 121 to 130 of about 58,990 (298)
Road Surface Translation Under Snow-covered and Semantic Segmentation for Snow Hazard Index [PDF]
Takato Yasuno +3 more
openalex +1 more source
This article proposes a lightweight YOLOv4‐based detection model using MobileNetV3 or CSPDarknet53_tiny, achieving 30+ FPS and higher mAP. It also presents a ShuffleNet‐based classification model with transfer learning and GAN‐augmented images, improving generalization and accuracy.
Qingyang Liu, Yanrong Hu, Hongjiu Liu
wiley +1 more source
Unsupervised Domain Adaptation for Semantic Segmentation using One-shot Image-to-Image Translation via Latent Representation Mixing [PDF]
Sarmad F. Ismael +2 more
openalex +1 more source
Synthetic instance segmentation from semantic image segmentation masks
12 pages,4 ...
Yuchen Shen +4 more
openaire +2 more sources
To address the problems of insufficient utilization of multiscale features and inefficient feature sharing between tasks in the model, this study proposes an edge‐enhanced intelligent cervical cancer screening method that achieves feature reuse and improves efficiency by jointly optimizing nucleolus segmentation and lesion classification.
Li Wen +4 more
wiley +1 more source
Memory-Augmented 3D Point Cloud Semantic Segmentation Network for Intelligent Mining Shovels
The semantic segmentation of the 3D operating environment represents the key to intelligent mining shovels’ autonomous digging and loading operation. However, the complexity of the operating environment of intelligent mining shovels presents challenges ...
Yunhao Cui +6 more
doaj +1 more source
A hierarchical multimodal framework coupling a large language model for task decomposition and semantic mapping with a fine‐tuned vision‐language model for semantic perception, enhanced by GridMask, is presented. An aerial‐ground robot team exploits the semantic map for global and local planning.
Haokun Liu +6 more
wiley +1 more source
LEST: Large-Scale LiDAR Semantic Segmentation With Deployment-Friendly Transformer Architecture
Large-scale LiDAR-based point cloud semantic segmentation is a critical challenge for autonomous driving perception. Most state-of-the-art LiDAR semantic segmentation methods rely on complex operators, such as sparse 3D convolutions or KdTree structures,
Chuanyu Luo +6 more
doaj +1 more source
Semantic Segmentation Guided Real-World Super-Resolution
Andreas Aakerberg +3 more
openalex +2 more sources
This paper presents a degeneracy‐aware light detection and ranging (LiDAR)‐inertial framework that enhances LiDAR simultaneous localization and mapping performance in challenging environments. The proposed system integrates a dual‐layer robust odometry frontend with a Scan‐Context‐based loop‐closure detection backend.
Haoming Yang +4 more
wiley +1 more source

