| Publication |
Sentence |
Publish Date |
Extraction Date |
Species |
| Huifeng Su, David Bonfils Kamanda, Tao Han, Cheng Guo, Rongzhao Li, Zhilei Liu, Fengzhao Su, Liuhong Shan. Enhanced YOLO v3 for precise detection of apparent damage on bridges amidst complex backgrounds. Scientific reports. vol 14. issue 1. 2024-04-15. PMID:38622182. |
first, the yolo v3 network structure is enhanced to better accommodate the dense distribution and large variation of disease scale characteristics, and the detection layer incorporates the squeeze and excitation (se) networks attention mechanism module and spatial pyramid pooling module to strengthen the semantic feature extraction ability. |
2024-04-15 |
2024-04-18 |
Not clear |
| Nuo Xu, Zhibin Ma, Yi Xia, Yanqi Dong, Jiali Zi, Delong Xu, Fu Xu, Xiaohui Su, Haiyan Zhang, Feixiang Che. A Serial Multi-Scale Feature Fusion and Enhancement Network for Amur Tiger Re-Identification. Animals : an open access journal from MDPI. vol 14. issue 7. 2024-04-13. PMID:38612345. |
specifically, we design a global inverted pyramid multi-scale feature fusion method in the global branch to effectively fuse multi-scale global features and achieve high-level, fine-grained, and deep semantic feature preservation. |
2024-04-13 |
2024-04-15 |
Not clear |
| Junwei Yu, Weiwei Chen, Nan Liu, Chao Fa. Oriented feature pyramid network for small and dense wheat heads detection and counting. Scientific reports. vol 14. issue 1. 2024-04-08. PMID:38582913. |
furthermore, we incorporate a path-aggregation and balanced feature pyramid network into our architecture to effectively extract both semantic and positional information from the input images. |
2024-04-08 |
2024-04-10 |
Not clear |
| Zhiwang Zhou, Yuanchang Zheng, Xiaoyu Zhou, Jie Yu, Shangjie Ron. Self-supervised pre-training for joint optic disc and cup segmentation via attention-aware network. BMC ophthalmology. vol 24. issue 1. 2024-03-04. PMID:38438876. |
in this paper, to conquer such issues, we first design a novel attention-aware segmentation model equipped with the multi-scale attention module in the pyramid structure-like encoder-decoder network, which can efficiently learn the global semantics and the long-range dependencies of the input images. |
2024-03-04 |
2024-03-07 |
Not clear |
| Kaifeng Ma, Mengshu Hao, Wenlong Shang, Jinping Liu, Junzhen Meng, Qingfeng Hu, Peipei He, Shiming L. Study on the Influence of Label Image Accuracy on the Performance of Concrete Crack Segmentation Network Models. Sensors (Basel, Switzerland). vol 24. issue 4. 2024-02-24. PMID:38400225. |
four semantic segmentation network models (ssnms), u-net, high-resolution net (hrnet)v2, pyramid scene parsing network (pspnet) and deeplabv3+, were used for learning and training. |
2024-02-24 |
2024-02-26 |
Not clear |
| Yang Hao, Tao Tang, Chunhai Ga. Train Distance Estimation for Virtual Coupling Based on Monocular Vision. Sensors (Basel, Switzerland). vol 24. issue 4. 2024-02-24. PMID:38400336. |
first, key structure features of the target train are extracted by an object-detection neural network, whose strategies include an additional detection head in the feature pyramid, labeling of object neighbor areas, and semantic filtering, which are utilized to improve the detection performance for small objects. |
2024-02-24 |
2024-02-26 |
Not clear |
| Dong Kong, Xu Li, Qimin Xu, Yue Hu, Peizhou N. SC_LPR: Semantically Consistent LiDAR Place Recognition Based on Chained Cascade Network in Long-Term Dynamic Environments. IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. vol PP. 2024-02-23. PMID:38393840. |
to this end, we suggest a novel semantically consistent lidar pr method based on chained cascade network, called sc_lpr, which mainly consists of a lidar semantic image inpainting network (lsi-net) and a semantic pyramid transformer-based pr network (spt-net). |
2024-02-23 |
2024-02-26 |
Not clear |
| Dong Kong, Xu Li, Qimin Xu, Yue Hu, Peizhou N. SC_LPR: Semantically Consistent LiDAR Place Recognition Based on Chained Cascade Network in Long-Term Dynamic Environments. IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. vol PP. 2024-02-23. PMID:38393840. |
sequentially, in order to generate a discriminative global descriptor representing the point cloud, we design an encoder with pyramid transformer block to efficiently encode long-range dependencies and global contexts between different categories in the inpainted semantic image, followed by an augmented netvald, a generalized vlad (vector of locally aggregated descriptors) layer that adaptively aggregates salient local features. |
2024-02-23 |
2024-02-26 |
Not clear |
| 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 |