All Relations between semantics and vermic lobule viii

Publication Sentence Publish Date Extraction Date Species
Yufen Xu, Shangbo Zhou, Yuhui Huan. Transformer-Based Model with Dynamic Attention Pyramid Head for Semantic Segmentation of VHR Remote Sensing Imagery. Entropy (Basel, Switzerland). vol 24. issue 11. 2022-11-11. PMID:36359709. third, a dynamic attention pyramid head is constructed with deformable convolution to dynamically aggregate effective and important semantic information. 2022-11-11 2023-08-14 Not clear
Jun Hu, Peng Qiao, Haohao Lv, Liang Yang, Aiguo Ouyang, Yong He, Yande Li. High Speed Railway Fastener Defect Detection by Using Improved YoLoX-Nano Model. Sensors (Basel, Switzerland). vol 22. issue 21. 2022-11-11. PMID:36366094. the ca attention mechanism is added to the three output feature maps of cspdarknet and the enhanced feature extraction part of the path aggregation feature pyramid network (pafpn); the adaptively spatial feature fusion (asff) is added after the pafpn output feature map, which enables the semantic information of the high-level features and the fine-grained features of the bottom layer to be further enhanced. 2022-11-11 2023-08-14 Not clear
Dongdong Zhao, Weihao Ge, Peng Chen, Yingtian Hu, Yuanjie Dang, Ronghua Liang, Xinxin Gu. Feature Pyramid U-Net with Attention for Semantic Segmentation of Forward-Looking Sonar Images. Sensors (Basel, Switzerland). vol 22. issue 21. 2022-11-11. PMID:36366169. feature pyramid u-net with attention for semantic segmentation of forward-looking sonar images. 2022-11-11 2023-08-14 Not clear
Dongdong Zhao, Weihao Ge, Peng Chen, Yingtian Hu, Yuanjie Dang, Ronghua Liang, Xinxin Gu. Feature Pyramid U-Net with Attention for Semantic Segmentation of Forward-Looking Sonar Images. Sensors (Basel, Switzerland). vol 22. issue 21. 2022-11-11. PMID:36366169. therefore, this study presents a forward-looking sonar semantic segmentation model called feature pyramid u-net with attention (fpua). 2022-11-11 2023-08-14 Not clear
Wenwen Pan, Zhou Zhao, Wencan Huang, Zhu Zhang, Liyong Fu, Zhigeng Pan, Jun Yu, Fei W. Video Moment Retrieval With Noisy Labels. IEEE transactions on neural networks and learning systems. vol PP. 2022-10-31. PMID:36315534. then, the feature pyramid networks are constructed to encode plentiful scene relationships and capture high semantics. 2022-10-31 2023-08-14 human
Bingtao Liang, Chen Tang, Min Xu, Tianbo Wu, Zhenkun Le. Fusion network based on the dual attention mechanism and atrous spatial pyramid pooling for automatic segmentation in retinal vessel images. Journal of the Optical Society of America. A, Optics, image science, and vision. vol 39. issue 8. 2022-10-10. PMID:36215583. then, atrous spatial pyramid pooling (aspp) allows the network to capture features at multiple scales and combine high-level semantic information with low-level features through the encoder-decoder architecture. 2022-10-10 2023-08-14 Not clear
Shusheng Li, Liang Wan, Lu Tang, Zhining Zhan. MFEAFN: Multi-scale feature enhanced adaptive fusion network for image semantic segmentation. PloS one. vol 17. issue 9. 2022-09-30. PMID:36178906. first, we designed a double spatial pyramid module named dspm to extract more high-level semantic information. 2022-09-30 2023-08-14 Not clear
Di Lu, Shuli Cheng, Liejun Wang, Shiji Son. Multi-scale feature progressive fusion network for remote sensing image change detection. Scientific reports. vol 12. issue 1. 2022-07-13. PMID:35831628. finally, the aggregated feature maps are layered again by pooling and convolution operations, and then a feature fusion strategy with a pyramid structure is used, with layers fused from low to high, to obtain richer contextual information, so that each layer of the layered feature maps has original semantic information and semantic features of other layers. 2022-07-13 2023-08-14 Not clear
Baizhan Xia, Hao Luo, Shiguang Sh. Improved Faster R-CNN Based Surface Defect Detection Algorithm for Plates. Computational intelligence and neuroscience. vol 2022. 2022-05-27. PMID:35619764. subsequently, a feature pyramid network with a shape-variable convolutional resnet50 network can be applied to acquire defect semantic feature maps to improve the network's ability to express the features of multiscale defects while solving the difficulty problem of many types of defects and variable shapes. 2022-05-27 2023-08-13 Not clear
Zhenwei Yu, Yuehua Liu, Sufang Yu, Ruixue Wang, Zhanhua Song, Yinfa Yan, Fade Li, Zhonghua Wang, Fuyang Tia. Automatic Detection Method of Dairy Cow Feeding Behaviour Based on YOLO Improved Model and Edge Computing. Sensors (Basel, Switzerland). vol 22. issue 9. 2022-05-20. PMID:35590962. the deep learning and feature extraction enhancement of the model was improved by replacing the cspdarknet backbone network with the self-designed drnet backbone network based on the yolov4 algorithm using multiple feature scales and the spatial pyramid pooling (spp) structure to enrich the scale semantic feature interactions, finally achieving the recognition of cow feeding behaviour in the farm feeding environment. 2022-05-20 2023-08-13 Not clear
Jianjun Kang, Mayire Ibrayim, Askar Hamdull. MR-FPN: Multi-Level Residual Feature Pyramid Text Detection Network Based on Self-Attention Environment. Sensors (Basel, Switzerland). vol 22. issue 9. 2022-05-20. PMID:35591028. at the same time, the multi-scale enhancement module (mem) improves the expression ability of text information, extracting strong semantic information and integrating the multi-scale features generated by the feature pyramid. 2022-05-20 2023-08-13 Not clear
Yali Qiu, Yujin Hu, Peiyao Kong, Hai Xie, Xiaoliu Zhang, Jiuwen Cao, Tianfu Wang, Baiying Le. Automatic Prostate Gleason Grading Using Pyramid Semantic Parsing Network in Digital Histopathology. Frontiers in oncology. vol 12. 2022-04-25. PMID:35463378. automatic prostate gleason grading using pyramid semantic parsing network in digital histopathology. 2022-04-25 2023-08-13 Not clear
Junpeng Wu, Shaobo Tang, Xianglei Li, Yibo Zho. Industrial equipment detection algorithm under complex working conditions based on ROMS R-CNN. PloS one. vol 17. issue 4. 2022-04-07. PMID:35390048. the method proposed in this paper first is to construct the mobilenetv2 as the feature pyramid network, and then to combine high semantic information with high resolution information solved industrial equipment detection of different scales. 2022-04-07 2023-08-13 Not clear
Tianmin Deng, Yongjun W. Simultaneous vehicle and lane detection via MobileNetV3 in car following scene. PloS one. vol 17. issue 3. 2022-03-04. PMID:35245342. both aspp (atrous spatial pyramid pooling) and fpn (feature pyramid networks) are employed to improve the feature extraction ability and real-time of mobilenetv3, the attention mechanism cbam (convolutional block attention module) is introduced into yolov4, an asymmetric network architecture of "more encoding-less decoding" is designed for semantic pixel-wise segmentation network. 2022-03-04 2023-08-13 Not clear
Fen Dai, Fengcheng Wang, Dongzi Yang, Shaoming Lin, Xin Chen, Yubin Lan, Xiaoling Den. Detection Method of Citrus Psyllids With Field High-Definition Camera Based on Improved Cascade Region-Based Convolution Neural Networks. Frontiers in plant science. vol 12. 2022-02-10. PMID:35140732. in this work, in order to make the model have good generalization ability under outdoor light condition, a high-definition camera to collect data set of citrus psyllids and citrus fruit flies under natural light condition was used, a method to increase the number of small target pests in citrus based on semantic segmentation algorithm was proposed, and the cascade region-based convolution neural networks (r-cnn) (convolutional neural network) algorithm was improved to enhance the recognition effect of small target pests using multiscale training, combining cbam attention mechanism with high-resolution feature retention network high-resoultion network (hrnet) as feature extraction network, adding sawtooth atrous spatial pyramid pooling (aspp) structure to fully extract high-resolution features from different scales, and adding feature pyramid networks (fpn) structure for feature fusion at different scales. 2022-02-10 2023-08-13 Not clear
Ziyang Wang, Irina Voiculesc. Quadruple Augmented Pyramid Network for Multi-class COVID-19 Segmentation via CT. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. vol 2021. 2021-12-11. PMID:34891865. quadruple augmented pyramid network (qap-net) not only enable cnn capture features from variation size of ct images, but also act as spatial inter-connections and down-sampling to transfer sufficient feature information for semantic segmentation. 2021-12-11 2023-08-13 Not clear
Kevin C Choy, Guorong Li, W Daniel Stamer, Sina Farsi. Open-source deep learning-based automatic segmentation of mouse Schlemm's canal in optical coherence tomography images. Experimental eye research. 2021-11-18. PMID:34793828. a novel convolutional neural network (cnn) for semantic segmentation grounded in a u-net architecture was developed by incorporating a late fusion scheme, multi-scale input image pyramid, dilated residual convolution blocks, and attention-gating. 2021-11-18 2023-08-13 mouse
Sangryul Jeon, Seungryong Kim, Dongbo Min, Kwanghoon Soh. Pyramidal Semantic Correspondence Networks. IEEE transactions on pattern analysis and machine intelligence. vol PP. 2021-10-29. PMID:34714738. to this end, we propose two spatial pyramid models by dividing an image in a form of quad-tree rectangles or into multiple semantic elements of an object. 2021-10-29 2023-08-13 Not clear
Qian Pan, Maofang Gao, Pingbo Wu, Jingwen Yan, Shilei L. A Deep-Learning-Based Approach for Wheat Yellow Rust Disease Recognition from Unmanned Aerial Vehicle Images. Sensors (Basel, Switzerland). vol 21. issue 19. 2021-10-14. PMID:34640873. the method was based on the pyramid scene parsing network (pspnet) semantic segmentation model to classify healthy wheat, yellow rust wheat, and bare soil in small-scale uav images, and to investigate the spatial generalization of the model. 2021-10-14 2023-08-13 Not clear
Huiying Xie, Chen Tang, Wei Zhang, Yuxin Shen, Zhengkun Le. Multi-scale retinal vessel segmentation using encoder-decoder network with squeeze-and-excitation connection and atrous spatial pyramid pooling. Applied optics. vol 60. issue 2. 2021-09-30. PMID:33448945. in our implementation, the atrous spatial pyramid pooling allows the network to capture features at multiple scales, and the high-level semantic information is combined with low-level features through the encoder-decoder architecture to generate segmentations. 2021-09-30 2023-08-13 Not clear