SE-DeepLabV3+: Cervical Cell Segmentation and Classification Using a Novel SE-Based DeepLabV3+ and Ensemble Method by Betelhem Zewdu Wubineh, Andrzej Rusiecki, Krzysztof Halawa

Subjects: Get full text

Enhancing Road Scene Segmentation With an Optimized DeepLabV3+ by Zhe Ren, Libao Wang, Tianming Song, Yihang Li, Jian Zhang, Fengfeng Zhao

“…To address these issues, this paper proposes an enhanced road scene segmentation method based on DeepLabV3+ that addresses the common trade-offs between accuracy and real-time performance in existing approaches. …”
Get full text

Insights of semantic segmentation using the DeepLab architecture for autonomous driving by Javed Subhedar, Mrinal R Bachute

Subjects: “…Semantic Segmentation Using the DeepLab Architecture for Autonomous Driving…”
Get full text

Automated Cardiac Disease Prediction Using Composite GAN and DeepLab Model by Sohail Jabbar, Umar Raza, Muhammad Asif Habib, Muhammad Farhan, Saqib Saeed

Subjects: Get full text

DeepLabV3+-Based Semantic Annotation Refinement for SLAM in Indoor Environments by Shuangfeng Wei, Hongrui Tang, Changchang Liu, Tong Yang, Xiaohang Zhou, Sisi Zlatanova, Junlin Fan, Liping Tu, Yaqin Mao

“…The proposed method utilizes MobileNetV3 as the backbone network for DeepLabV3+ to maintain segmentation accuracy while reducing computational demands. …”
Get full text

Lightweight Tea Shoot Picking Point Recognition Model Based on Improved DeepLabV3+ by HU Chengxi, TAN Lixin, WANG Wenyin, SONG Min

“…[Results and Discussions]The experimental outcomes indicated that the enhanced DeepLabV3+ model had achieved an average Intersection over Union (IoU) of 93.71% and an average pixel accuracy of 97.25% on the dataset of tea shoots. …”
Get full text

Validity of Deep Learning-Based Motion Capture Using DeepLabCut to Assess Proprioception in Children by Maud van den Bogaart, Nina Jacobs, Ann Hallemans, Pieter Meyns

Subjects: Get full text

High-precision segmentation and quantification of tunnel lining crack using an improved DeepLabV3+ by Zhutian Pan, Xuepeng Zhang, Yujing Jiang, Bo Li, Naser Golsanami, Hang Su, Yue Cai

Subjects: Get full text

Highlighting the Advanced Capabilities and the Computational Efficiency of DeepLabV3+ in Medical Image Segmentation: An Ablation Study by Ioannis Prokopiou, Panagiota Spyridonos

Subjects: Get full text

Improved lightweight DeepLabV3+ for bare rock extraction from high-resolution UAV imagery by Pengde Lai, Chao Lv, Lv Zhou, Shengxiong Yang, Jiao Xu, Qiulin Dong, Meilin He

Subjects: Get full text

Enhanced thyroid nodule detection and diagnosis: a mobile-optimized DeepLabV3+ approach for clinical deployments by Changan Yang, Muhammad Awais Ashraf, Mudassar Riaz, Pascal Umwanzavugaye, Kavimbi Chipusu, Hongyuan Huang, Yueqin Xu

Subjects: “…DeepLabV3+…”
Get full text

Research on semantic segmentation of parents in hybrid rice breeding based on improved DeepLabV3+ network model by WEN Jia, LIANG Xifeng, WANG Yongwei

Subjects: Get full text

Research on CTSA-DeepLabV3+ Urban Green Space Classification Model Based on GF-2 Images by Ruotong Li, Jian Zhao, Yanguo Fan

Subjects: Get full text

A Ship Heading Estimation Method Based on DeepLabV3+ and Contrastive Learning-Optimized Multi-Scale Similarity by Weihao Tao, Yasong Luo, Jijin Tong, Qingtao Xia, Jianjing Qu

Subjects: Get full text

Interchangeability of Cross-Platform Orthophotographic and LiDAR Data in DeepLabV3+-Based Land Cover Classification Method by Shijun Pan, Keisuke Yoshida, Satoshi Nishiyama, Takashi Kojima, Yutaro Hashimoto

Get full text

MFAFNet: Multi-Scale Feature Adaptive Fusion Network Based on DeepLab V3+ for Cloud and Cloud Shadow Segmentation by Yijia Feng, Zhiyong Fan, Ying Yan, Zhengdong Jiang, Shuai Zhang

“…To address these challenges, this paper proposes an improved model based on DeepLab v3+. First, to enhance the model’s ability to extract fine-grained features, a Hybrid Strip Pooling Module (HSPM) is introduced in the encoding stage, effectively preserving local details and reducing information loss. …”
Get full text

A Track-Type Orchard Mower Automatic Line Switching Decision Model Based on Improved DeepLabV3+ by Lixing Liu, Pengfei Wang, Jianping Li, Hongjie Liu, Xin Yang

Subjects: Get full text

Semantic Segmentation of Rice Fields in Sub-Meter Satellite Imagery Using an HRNet-CA-Enhanced DeepLabV3+ Framework by Yifan Shao, Pan Pan, Hongxin Zhao, Jiale Li, Guoping Yu, Guomin Zhou, Jianhua Zhang

Subjects: Get full text

Graph Neural Network With Hessian-Based Locally Linear Embedding for Cancer Metastasis Analysis in Lymph Nodes Using DeepLab Segmentation by Senthil Jayapal, R. Annamalai

Subjects: “…DeepLab…”
Get full text

Cascade DeepLab Net: A Method for Accurate Extraction of Fragmented Cultivated Land in Mountainous Areas Based on a Cascaded Network by Man Li, Renru Wang, Ana Dai, Weitao Yuan, Guangbin Yang, Lijun Xie, Weili Zhao, Linglin Zhao

“…To address this issue, this study proposed a cascaded network based on an improved semantic segmentation model (DeepLabV3+), called Cascade DeepLab Net, specifically designed to improve the accuracy in the scenario of fragmented land features. …”
Get full text