All Relations between semantics and vermic lobule viii

Publication Sentence Publish Date Extraction Date Species
Zhaojun Pang, Rongming Hu, Wu Zhu, Renyi Zhu, Yuxin Liao, Xiying Ha. A Building Extraction Method for High-Resolution Remote Sensing Images with Multiple Attentions and Parallel Encoders Combining Enhanced Spectral Information. Sensors (Basel, Switzerland). vol 24. issue 3. 2024-02-10. PMID:38339723. according to the different depth positions of the network, coordinate attention (ca) and convolutional block attention module (cbam) are introduced to bridge the encoder and decoder to retain richer spatial and semantic information during the encoding process, and adding the dense atrous spatial pyramid pooling (denseaspp) captures multi-scale contextual information during the upsampling of the layers of the decoder. 2024-02-10 2024-02-12 Not clear
Lin Zhang, Jing Wu, Feiniu Yuan, Yuming Fan. Smoke-Aware Global-Interactive Non-local Network for Smoke Semantic Segmentation. IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. vol PP. 2024-02-05. PMID:38315585. to solve the interference of smoke-like objects, a pyramid high-level semantic aggregation (phsa) module is designed, where the learned high-level category semantics from classification aids model by providing additional guidance to correct the wrong information in segmentation representations at the image level and alleviate the inter-class similarity problem. 2024-02-05 2024-02-09 Not clear
Lindong Tang, Lijun Yun, Zaiqing Chen, Feiyan Chen. HRYNet: A Highly Robust YOLO Network for Complex Road Traffic Object Detection. Sensors (Basel, Switzerland). vol 24. issue 2. 2024-01-26. PMID:38276336. firstly, a dual fusion gradual pyramid structure (dfgpn) is introduced, which employs a two-stage gradient fusion strategy to enhance the generation of more comprehensive multi-scale high-level semantic information, strengthen the interconnection between non-adjacent feature layers, and reduce the information gap that exists between them. 2024-01-26 2024-01-28 Not clear
Uswatun Hasanah, Cries Avian, Jeremie Theddy Darmawan, Nabil Bachroin, Muhamad Faisal, Setya Widyawan Prakosa, Jenq-Shiou Leu, Chia-Ti Tsa. CheXNet and feature pyramid network: a fusion deep learning architecture for multilabel chest X-Ray clinical diagnoses classification. The international journal of cardiovascular imaging. 2023-12-27. PMID:38150139. this concept enables the model to extract while creating a pyramid of feature maps with different spatial resolutions that capture low-level and high-level semantic information to encounter multiple features. 2023-12-27 2023-12-29 human
Sreelekshmi Palliyil Sreekumar, Rohini Palanisamy, Ramakrishnan Swaminatha. Semantic Segmentation of Cell Painted Organelles using DeepLabv3plus Model. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. vol 2023. 2023-12-12. PMID:38082807. deeplabv3plus architecture with atrous spatial pyramid pooling (aspp) and depth wise separable convolution is used as a learning model to perform semantic segmentation. 2023-12-12 2023-12-17 Not clear
Herui Heng, Si Li, Peiji Li, Qianfeng Lin, Yufen Chen, Lei Zhan. MTSTR: Multi-task learning for low-resolution scene text recognition via dual attention mechanism and its application in logistics industry. PloS one. vol 18. issue 12. 2023-12-12. PMID:38085712. to effectively learn the semantic information of images, we utilize the feature pyramid network (fpn) to fuse high- and low-level semantic information. 2023-12-12 2023-12-17 Not clear
Palisa Arafin, Ahm Muntasir Billah, Anas Iss. Deep learning-based concrete defects classification and detection using semantic segmentation. Structural health monitoring. vol 23. issue 1. 2023-12-11. PMID:38078049. for semantic segmentation, two encoder-decoder models, u-net and pyramid scene parsing network architecture are developed based on four backbone models, including vgg19, resnet50, inceptionv3, and efficientnetb3. 2023-12-11 2023-12-17 Not clear
Weihu Song, Heng Yu, Jianhua W. PLU-Net: Extraction of multiscale feature fusion. Medical physics. 2023-11-27. PMID:38010657. to solve the problem, we develop atrous spatial pyramid pooling (aspp) and combine it with the squeeze-and-excitation block (se block), as well as present the ps module, which employs a broader and multiscale receptive field at the network's bottom to obtain more detailed semantic information. 2023-11-27 2023-11-29 Not clear
Tanvir Mahmud, Md Awsafur Rahman, Shaikh Anowarul Fattah, Sun-Yuan Kun. CovSegNet: A Multi Encoder-Decoder Architecture for Improved Lesion Segmentation of COVID-19 Chest CT Scans. IEEE transactions on artificial intelligence. vol 2. issue 3. 2023-11-20. PMID:37981918. moreover, a multiscale fusion module is introduced with a pyramid fusion scheme to reduce the semantic gaps between subsequent encoder/decoder modules while facilitating the parallel optimization for efficient gradient propagation. 2023-11-20 2023-11-29 Not clear
Yuncheng Jiang, Zixun Zhang, Yiwen Hu, Guanbin Li, Xiang Wan, Song Wu, Shuguang Cui, Silin Huang, Zhen L. ECC-PolypDet: Enhanced CenterNet With Contrastive Learning for Automatic Polyp Detection. IEEE journal of biomedical and health informatics. vol PP. 2023-11-20. PMID:37983159. moreover, to enhance the recognition of small polyps, we design the semantic flow-guided feature pyramid network (sffpn) to aggregate multi-scale features and the heatmap propagation (hp) module to boost the model's attention on polyp targets. 2023-11-20 2023-11-29 Not clear
Wentao Xue, Maozheng He, Yincheng Zhang, Hui Y. A Novel Decoupled Feature Pyramid Networks for Multi-Target Ship Detection. Sensors (Basel, Switzerland). vol 23. issue 16. 2023-08-26. PMID:37631564. second, a feature pyramid structure combined with a gating attention module is constructed to improve the feature resolution of small ships by enhancing contour features and spatial semantic information. 2023-08-26 2023-09-07 Not clear
Peile Huang, Shenghuai Wang, Jianyu Chen, Weijie Li, Xing Pen. Lightweight Model for Pavement Defect Detection Based on Improved YOLOv7. Sensors (Basel, Switzerland). vol 23. issue 16. 2023-08-26. PMID:37631649. the model introduces four key enhancements: first, the incorporation of the sppcspc_group grouped space pyramid pooling module to reduce the parameter load and computational complexity; second, the utilization of the k-means clustering algorithm for generating anchors, accelerating model convergence; third, the integration of the ghost conv module, enhancing feature extraction while minimizing the parameters and calculations; fourth, introduction of the cbam convolution module to enrich the semantic information in the last layer of the backbone network. 2023-08-26 2023-09-07 Not clear
Yuzhi Zhao, Lai-Man Po, Kangcheng Liu, Xuehui Wang, Wing-Yin Yu, Pengfei Xian, Yujia Zhang, Mengyang Li. SVCNet: Scribble-based Video Colorization Network with Temporal Aggregation. IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. vol PP. 2023-08-02. PMID:37527316. the first stage includes a pyramid feature encoder to incorporate color scribbles with a grayscale frame, and a semantic feature encoder to extract semantics. 2023-08-02 2023-08-14 Not clear
Tao Yan, Ye Ying Qin, Pak Kin Wong, Hao Ren, Chi Hong Wong, Liang Yao, Ying Hu, Cheok I Chan, Shan Gao, Pui Pun Cha. Semantic Segmentation of Gastric Polyps in Endoscopic Images Based on Convolutional Neural Networks and an Integrated Evaluation Approach. Bioengineering (Basel, Switzerland). vol 10. issue 7. 2023-07-29. PMID:37508833. seven classical semantic segmentation models, including u-net, unet++, deeplabv3, deeplabv3+, pyramid attention network (pan), linknet, and muti-scale attention net (ma-net), with the encoders of resnet50, mobinenetv2, or efficientnet-b1, are constructed and compared based on the collected dataset. 2023-07-29 2023-08-14 Not clear
Ruina Zhao, Yujie Guan, Yuqi Lu, Ze Ji, Xiang Yin, Weikuan Ji. FCOS-LSC: A Novel Model for Green Fruit Detection in a Complex Orchard Environment. Plant phenomics (Washington, D.C.). vol 5. 2023-07-21. PMID:37475967. the feature pyramid network (fpn) is employed to fully fuse low-level detail information and high-level semantic information in a cross-connected and top-down connected way. 2023-07-21 2023-08-14 Not clear
Xiao Zhang, Zhenyu Zhan. Research on a Traffic Sign Recognition Method under Small Sample Conditions. Sensors (Basel, Switzerland). vol 23. issue 11. 2023-06-11. PMID:37299816. finally, the fpn (feature pyramid network) is introduced for multi-scale feature extraction, and the feature map with higher semantic information but lower resolution is merged with the feature map with higher resolution but weaker semantic information, which further improves the detection accuracy. 2023-06-11 2023-08-14 Not clear
Xin Guan, Huan Shen, Charles Okanda Nyatega, Qiang L. Repeated Cross-Scale Structure-Induced Feature Fusion Network for 2D Hand Pose Estimation. Entropy (Basel, Switzerland). vol 25. issue 5. 2023-05-27. PMID:37238479. globalnet roughly locates hand joints based on a new feature pyramid structure by combining higher semantic information and more global spatial scale information. 2023-05-27 2023-08-14 Not clear
Zhijing Xu, Jingjing Su, Kan Huan. A-RetinaNet: A novel RetinaNet with an asymmetric attention fusion mechanism for dim and small drone detection in infrared images. Mathematical biosciences and engineering : MBE. vol 20. issue 4. 2023-05-10. PMID:37161121. second, considering the inadequacy of feature pyramids in the feature fusion stage, we use an asymmetric attention fusion mechanism to constitute an asymmetric attention fusion pyramid network for cross-layer feature fusion in a bidirectional manner; it achieves high-quality semantic and location detail information interaction between scale features. 2023-05-10 2023-08-14 Not clear
Dongen Guo, Zechen Wu, Jiangfan Feng, Tao Zo. Multi-scale semantic enhancement network for object detection. Scientific reports. vol 13. issue 1. 2023-05-04. PMID:37137973. in this paper, we present a novel multi-scale semantic enhancement feature pyramid network (mse-fpn) which consists of three effective modules: semantic enhancement module, semantic injection module, and gated channel guidance module to alleviate these problems. 2023-05-04 2023-08-14 Not clear
Shuqi Fang, Bin Zhang, Jingyu H. Improved Mask R-CNN Multi-Target Detection and Segmentation for Autonomous Driving in Complex Scenes. Sensors (Basel, Switzerland). vol 23. issue 8. 2023-04-28. PMID:37112194. furthermore, a bottom-up path enhancement strategy was added to the feature pyramid network (fpn) to achieve feature fusion, while an efficient channel attention module (eca) was added to the backbone feature extraction network to optimize the high-level low resolution semantic information graph. 2023-04-28 2023-08-14 Not clear