| Publication |
Sentence |
Publish Date |
Extraction Date |
Species |
| 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 |
| Linjie Liu, Guanglei Wang, Yanlin Wu, Hongrui Wang, Yan L. PCCA-Model: an attention module for medical image segmentation. Biomedical optics express. vol 14. issue 4. 2023-04-20. PMID:37078042. |
based on the idea that the human visual cortex differs in terms of the size of the receptive field and can sense the stimulus location, we propose the pyramid channel coordinate attention (pcca) module to fuse multiscale features in the channel direction, aggregate local and global channel information, combine them with the location information in the spatial direction, and then integrate them into the existing semantic segmentation network. |
2023-04-20 |
2023-08-14 |
human |
| Yuqun Yang, Xu Tang, Yiu-Ming Cheung, Xiangrong Zhang, Licheng Jia. SAGN: Semantic-Aware Graph Network for Remote Sensing Scene Classification. IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. vol PP. 2023-04-06. PMID:37021983. |
sagn consists of a dense feature pyramid network (dfpn), an adaptive semantic analysis module (asam), a dynamic graph feature update module, and a scene decision module (sdm). |
2023-04-06 |
2023-08-14 |
Not clear |
| Tianfei Zhou, Yi Yang, Wenguan Wan. Differentiable Multi-Granularity Human Parsing. IEEE transactions on pattern analysis and machine intelligence. vol PP. 2023-04-06. PMID:37022259. |
specifically, a dense-to-sparse projection field, which allows explicitly associating dense human semantics with sparse keypoints, is learnt and progressively improved over the network feature pyramid for robustness. |
2023-04-06 |
2023-08-14 |
human |
| Huan Cheng, Jucheng Zhang, Yinglan Gong, Zhaoxia Pu, Jun Jiang, Yonghua Chu, Ling Xi. Semantic segmentation method for myocardial contrast echocardiogram based on DeepLabV3+ deep learning architecture. Mathematical biosciences and engineering : MBE. vol 20. issue 2. 2023-03-11. PMID:36899523. |
in this paper, a deep learning semantic segmentation method is proposed based on a modified deeplabv3+ structure with an atrous convolution and atrous spatial pyramid pooling module. |
2023-03-11 |
2023-08-14 |
Not clear |
| Lili Li, Bin Wang, Yanwen Li, Hua Yan. Diagnosis and Mobile Application of Apple Leaf Disease Degree Based on a Small-Sample Dataset. Plants (Basel, Switzerland). vol 12. issue 4. 2023-02-25. PMID:36840133. |
therefore, a deeplabv3+ semantic segmentation network model with an actors spatial pyramid pool module (aspp) was proposed to achieve effective extraction of apple leaf lesion features and to improve the apple leaf disease recognition and disease severity diagnosis compared with the classical semantic segmentation network models pspnet and gcnet. |
2023-02-25 |
2023-08-14 |
Not clear |
| Jingzhen He, Jing Wang, Zeyu Han, Baojun Li, Mei Lv, Yunfeng Sh. Cancer detection for small-size and ambiguous tumors based on semantic FPN and transformer. PloS one. vol 18. issue 2. 2023-02-16. PMID:36795663. |
to solve the problems of small tumor objects and lack of contextual features, this paper proposes a novel semantic pyramid network with a transformer self-attention, named spn-ts, for tumor detection. |
2023-02-16 |
2023-08-14 |
Not clear |
| Zhenwei Yu, Li Liu, Hongchao Jiao, Jingjing Chen, Zheqi Chen, Zhanhua Song, Hai Lin, Fuyang Tia. Leveraging SOLOv2 model to detect heat stress of poultry in complex environments. Frontiers in veterinary science. vol 9. 2023-01-23. PMID:36686161. |
the model takes the solov2 model as the main frame, and uses the optimized densenet-169 as the backbone network to integrate the feature pyramid network to detect and segment instances on the semantic branch and mask branch. |
2023-01-23 |
2023-08-14 |
Not clear |