A segmented differential evolution with enhanced diversity and semi-adaptive parameter control by Huarong Xu, Zhiyu Zhang, Qianwei Deng, Shengke Lin

“…Thirdly, new diversity maintenance mechanisms are proposed, including population initialization, shrinkage, and updating, which better ameliorated the conflicting issues of search range and search rate that existed at all stages of the DE variant. …”
Get full text

Stroke Lesion Prediction by Bille-Viper-Segmentation with Tandem-MU-net Model by Beevi Fathima, N Santhi Dr, N Ramasamy Dr

“…The accuracy and flexibility required to forecast and classify stroke lesions is lacking in current approaches, which compromise patient outcomes. To solve these issues, Bille-Viper-Segmentation with the Tandem-MU-Net Model is suggested as a solution for tissue damage detection problems. …”
Get full text

Unpaired image to image translation for source free domain adaptation in semantic segmentation by Juan An, Zhaoshui He, Jing Guo, Jing Wang, Zhijie Lin, Hao Liang, Ji Tan, Wenqing Su

“…To address these issues, this paper proposes an unpaired image-to-image (UITI) learning framework. …”
Get full text

Deep Learning Method for Wetland Segmentation in Unmanned Aerial Vehicle Multispectral Imagery by Pakezhamu Nuradili, Ji Zhou, Guiyun Zhou, Farid Melgani

“…The integration of TIR data with MS imagery not only enriches the feature set for segmentation but also, to some extent, helps address data imbalance issues, contributing to a more refined ecological analysis. …”
Get full text

Highly Accurate Brain Tumor Segmentation and Classification Using Multiple Feature Sets by Megha Sunil Borse, Murali Prasad R, Tummala Ranga Babu

“…If a tumor is discovered later on, the medical issues are significant. Therefore, early diagnosis is essential. …”
Get full text

Causal Inference-Based Self-Supervised Cross-Domain Fundus Image Segmentation by Qiang Li, Qiyi Zhang, Zheqi Zhang, Hengxin Liu, Weizhi Nie

“…Accurate glaucoma diagnosis relies on precise segmentation of the optic disc (OD) and optic cup (OC) in retinal images. …”
Get full text

ResSAXU-Net for multimodal brain tumor segmentation from brain MRI by Zheyuan Xiong

Get full text

Adaptive Barrage Jamming Against SAR Based on Prior Information and Scene Segmentation by Zhengwei Guo, Longyuan Wang, Zhenchang Liu, Zewen Fu, Ning Li, Xuebo Zhang

Get full text

Ground Segmentation Algorithm for Sloped Terrain and Sparse LiDAR Point Cloud by Victor Jimenez, Jorge Godoy, Antonio Artunedo, Jorge Villagra

“…Some works address these issues using Markov Random Fields and Belief Propagation, but these rely on local geometric features uniquely. …”
Get full text

VM-UNet++ research on crack image segmentation based on improved VM-UNet by Wenliang Tang, Ziyi Wu, Wei Wang, Youqin Pan, Weihua Gan

“…To effectively address these issues, this paper proposes an innovative modification to the VM-UNet model. …”
Get full text

Deep Point Cloud Facet Segmentation and Applications in Downsampling and Crop Organ Extraction by Yixuan Wang, Chuang Huang, Dawei Li

“…To address the issues in existing 3D point cloud facet generation networks, specifically, the tendency to produce a large number of empty facets and the uncertainty in facet count, this paper proposes a novel deep learning framework for robust facet segmentation. …”
Get full text

Large-Scale Point Cloud Semantic Segmentation with Density-Based Grid Decimation by Liangcun Jiang, Jiacheng Ma, Han Zhou, Boyi Shangguan, Hongyu Xiao, Zeqiang Chen

“…Accurate segmentation of point clouds into categories such as roads, buildings, and trees is critical for applications in 3D reconstruction and autonomous driving. …”
Get full text

A Spatial and Semantic Alignment Fusion Network for SeaLand Port Segmentation by Bo Zhang, Yaxiong Chen, Weichong Dang, Shengwu Xiong, Xiaoqiang Lu

“…To address the issues of complex backgrounds and poor segmentation performance for small ship objects in sea–land port areas, we propose a sea–land port segmentation algorithm based on spatial and semantic alignment fusion. …”
Get full text

Efficient Multi-Task Training with Adaptive Feature Alignment for Universal Image Segmentation by Yipeng Qu, Joohee Kim

“…Universal image segmentation aims to handle all segmentation tasks within a single model architecture and ideally requires only one training phase. …”
Get full text

AFQSeg: An Adaptive Feature Quantization Network for Instance-Level Surface Crack Segmentation by Shaoliang Fang, Lu Lu, Zhu Lin, Zhanyu Yang, Shaosheng Wang

“…The trainable crack post-processing module incorporates edge-guided post-processing algorithms to correct false predictions and refine segmentation results. Experiments conducted on the Crack500 Road Crack Dataset show that, the proposed model achieves notable improvements in detection accuracy and efficiency, with an average F1-score improvement of 2.81% and a precision gain of 2.20% over the baseline methods. …”
Get full text

Unsupervised Clustering in Football Analysis: A Color-Segmentation and Lighting Adaptation Approach by Weiwei Pan, Mian Zhou, Jifeng Wang, Jionglong Su, Angelos Stefanidis

“…This paper introduces a clustering method leveraging color segmentation combined with illumination equalization to address issues such as large shadows and unknown uniform designs. …”
Get full text

A Multi-Level Knowledge Distillation for Enhanced Crop Segmentation in Precision Agriculture by Zhiyong Li, Lan Xiang, Jun Sun, Dingyi Liao, Lijia Xu, Mantao Wang

“…In this paper, we propose a knowledge distillation framework specifically designed for semantic segmentation tasks in agricultural scenarios. This framework aims to address several prevalent challenges in smart agriculture, including limited computational resources, strict real-time constraints, and suboptimal segmentation accuracy on cropped images. …”
Get full text

Unsupervised Segmentation and Classification of Waveform-Distortion Data Using Non-Active Current by Andrea Mariscotti, Rafael S. Salles, Sarah K. Rönnberg

Get full text

Soft Segmented Randomization: Enhancing Domain Generalization in SAR ATR for Synthetic-to-Measured by Minjun Kim, Ohtae Jang, Haekang Song, Heesub Shin, Jaewoo Ok, Minyoung Back, Jaehyuk Youn, Sungho Kim

“…The soft segmented randomization framework applies a Gaussian mixture model to segment target and clutter regions softly, introducing randomized variations that align the synthetic data’s statistical properties more closely with those of real-world data. …”
Get full text

SwinSegFormer: Advancing Aerial Image Semantic Segmentation for Flood Detection by Muhammad Tariq Shaheen, Hafsa Iqbal, Numan Khurshid, Haleema Sadia, Nasir Saeed

“…Semantic segmentation of aerial images is essential for unmanned aerial vehicle (UAV) applications in disaster management, particularly for identifying the flood-affected areas. …”
Get full text