All Relations between semantics and vermic lobule viii

Reference Sentence Publish Date Extraction Date Species
Yulin Yang, Yutaro Iwamoto, Yen-Wei Chen, Caie Xu, Qingqing Chen, Hongjie Hu, Xian-Hua Han, Ruofeng Tong, Lanfen Li. Synthesizing Contrast-enhanced Computed Tomography Images with an Improved Conditional Generative Adversarial Network. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference vol 2022 issue 2022 36086312 in the improved cgan, we incorporate a pyramid pooling module and an elaborate feature fusion module to the generator to improve the capability of encoder in capturing multi-scale semantic features and prevent the dilution of information in the process of decoding. 2022-09-10 2022-09-14 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 35831628 in particular, feature pyramid networks (fpns) are widely used in cd tasks to gradually fuse semantic features. 2022-07-13 2022-07-19 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 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 2022-07-19 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 issue 2022 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 2022-06-13 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 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 2022-06-13 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 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 2022-06-13 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 issue 2022 35463378 automatic prostate gleason grading using pyramid semantic parsing network in digital histopathology. 2022-04-25 2022-04-26 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 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 2022-04-14 Not clear
Tianmin Deng, Yongjun W. Simultaneous vehicle and lane detection via MobileNetV3 in car following scene. PloS one vol 17 issue 3 2022 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. 2022-03-07 2022-03-07 Not clear
Tianmin Deng, Yongjun W. Simultaneous vehicle and lane detection via MobileNetV3 in car following scene. PloS one vol 17 issue 3 2022 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 2022-03-07 Not clear
Zefang Han, Hong Shangguan, Xiong Zhang, Pengcheng Zhang, Xueying Cui, Huiying Re. A Dual-Encoder-Single-Decoder Based Low-dose CT Denoising Network. IEEE journal of biomedical and health informatics vol PP issue 2022 35239495 in the structure of the generator, firstly, a pyramid non-local attention module in the main encoder channel is designed to improve the feature extraction effectiveness by enhancing the features with self-similarity; secondly, another encoder with shallow feature processing module and deep feature processing module is proposed to improve the encoding capabilities of the generator; finally, the final denoised ct image is generated by fusing main encoders features, shallow visual features, and deep semantic features. 2022-03-03 2022-03-06 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 issue 2022 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 2022-02-13 Not clear
Ying Qian, Xuelian Li, Qian Zhang, Jiongmin Zhan. SPP-CPI: Predicting Compound-Protein Interactions Based on Neural Networks. IEEE/ACM transactions on computational biology and bioinformatics vol PP issue 2021 34043511 on the other hand, a distance matrix does not require complex data preprocessing for the molecular structure as the molecular graph representation, and is easier to obtain; 2) it uses spp(spatial pyramid pooling)-net to extract compound features, which has been successfully applied in image classification; and 3) it extracts protein features through the natural language processing method (doc2vec) to obtain sequence semantic information. 2022-02-04 2022-01-13 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 vol issue 2021 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. 2022-01-27 2022-01-13 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 issue 2021 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 2022-01-13 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 vol issue 2021 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 2022-01-13 Not clear
Sangryul Jeon, Seungryong Kim, Dongbo Min, Kwanghoon Soh. Pyramidal Semantic Correspondence Networks. IEEE transactions on pattern analysis and machine intelligence vol PP issue 2021 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 2022-01-13 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 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 2022-01-13 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 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 2022-01-14 Not clear
Zhijie Wen, Ru Feng, Jingxin Liu, Ying Li, Shihui Yin. GCSBA-Net: Gabor-Based and Cascade Squeeze Bi-Attention Network for Gland Segmentation. IEEE journal of biomedical and health informatics vol 25 issue 4 2021 32780703 specifically, we add atrous cascade spatial pyramid (acsp), squeeze position attention (spa) module and squeeze channel attention module (sca) to model semantic correlation and maintain the multi-level aggregation on the spatial pyramid with different dilations. 2021-09-24 2022-01-13 Not clear
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