| Publication |
Sentence |
Publish Date |
Extraction Date |
Species |
| 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 |
| 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. 2021-09-24. PMID: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 |
2023-08-13 |
Not clear |
| Shaoqi Hou, Dongdong Fang, Yixi Pan, Ye Li, Guangqiang Yi. Hybrid Pyramid Convolutional Network for Multiscale Face Detection. Computational intelligence and neuroscience. vol 2021. 2021-07-28. PMID:34035802. |
our hpcnet consists of three newly presented modules: firstly, we designed the hybrid dilated convolution (hdc) module to replace the fully connected layers in vgg16, which enlarges receptive field and reduces its loss of local information; secondly, we constructed the hybrid feature pyramid (hfp) to combine semantic information from higher layers together with details from lower layers; and thirdly, to deal with the problem of occlusion and blurring effectively, we introduced context information extractor (cie) in hpcnet. |
2021-07-28 |
2023-08-13 |
Not clear |
| Lusine Abrahamyan, Yiming Chen, Giannis Bekoulis, Nikos Deligianni. Learned Gradient Compression for Distributed Deep Learning. IEEE transactions on neural networks and learning systems. vol PP. 2021-06-10. PMID:34111008. |
we have tested our lgc methods on the image classification and semantic segmentation tasks using different convolutional neural networks (cnns) [resnet50, resnet101, and pyramid scene parsing network (pspnet)] and multiple datasets (imagenet, cifar10, and camvid). |
2021-06-10 |
2023-08-13 |
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. 2021-05-27. PMID: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. |
2021-05-27 |
2023-08-13 |
Not clear |
| Zun Li, Congyan Lang, Jun Hao Liew, Yidong Li, Qibin Hou, Jiashi Fen. Cross-Layer Feature Pyramid Network for Salient Object Detection. IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. vol 30. 2021-04-30. PMID:33872147. |
feature pyramid network (fpn) based models, which fuse the semantics and salient details in a progressive manner, have been proven highly effective in salient object detection. |
2021-04-30 |
2023-08-13 |
Not clear |
| Juan Wang, Yiping Duan, Xiaoming Tao, Mai Xu, Jianhua L. Semantic Perceptual Image Compression With a Laplacian Pyramid of Convolutional Networks. IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. vol 30. 2021-04-13. PMID:33735078. |
semantic perceptual image compression with a laplacian pyramid of convolutional networks. |
2021-04-13 |
2023-08-13 |
Not clear |
| Hongsong Wang, Shengcai Liao, Ling Sha. AFAN: Augmented Feature Alignment Network for Cross-Domain Object Detection. IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. vol 30. 2021-04-08. PMID:33793400. |
a feature pyramid alignment is designed and the corresponding feature discriminator is used to align multi-scale convolutional features of different semantic levels. |
2021-04-08 |
2023-08-13 |
Not clear |
| Yifeng Ding, Zhanyu Ma, Shaoguo Wen, Jiyang Xie, Dongliang Chang, Zhongwei Si, Ming Wu, Haibin Lin. AP-CNN: Weakly Supervised Attention Pyramid Convolutional Neural Network for Fine-Grained Visual Classification. IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. vol 30. 2021-02-17. PMID:33556008. |
our solution, named attention pyramid convolutional neural network (ap-cnn), consists of 1) a dual pathway hierarchy structure with a top-down feature pathway and a bottom-up attention pathway, hence learning both high-level semantic and low-level detailed feature representation, and 2) an roi-guided refinement strategy with roi-guided dropblock and roi-guided zoom-in operation, which refines features with discriminative local regions enhanced and background noises eliminated. |
2021-02-17 |
2023-08-13 |
Not clear |
| Dengji Zhou, Guizhou Wang, Guojin He, Tengfei Long, Ranyu Yin, Zhaoming Zhang, Sibao Chen, Bin Lu. Robust Building Extraction for High Spatial Resolution Remote Sensing Images with Self-Attention Network. Sensors (Basel, Switzerland). vol 20. issue 24. 2020-12-28. PMID:33348752. |
this paper presents a semantic segmentation model, which is a supervised method, named pyramid self-attention network (pisanet). |
2020-12-28 |
2023-08-13 |
Not clear |
| Dengji Zhou, Guizhou Wang, Guojin He, Tengfei Long, Ranyu Yin, Zhaoming Zhang, Sibao Chen, Bin Lu. Robust Building Extraction for High Spatial Resolution Remote Sensing Images with Self-Attention Network. Sensors (Basel, Switzerland). vol 20. issue 24. 2020-12-28. PMID:33348752. |
its structure is simple, because it contains only two parts: one is the backbone of the network, which is used to learn the local features (short distance context information around the pixel) of buildings from the image; the other part is the pyramid self-attention module, which is used to obtain the global features (long distance context information with other pixels in the image) and the comprehensive features (includes color, texture, geometric and high-level semantic feature) of the building. |
2020-12-28 |
2023-08-13 |
Not clear |
| Bin Xiao, Bocheng Xu, Xiuli Bi, Weisheng L. Global-Feature Encoding U-Net (GEU-Net) for Multi-Focus Image Fusion. IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. vol 30. 2020-11-19. PMID:33112746. |
for improving the global feature encoding capabilities of u-net, the global feature pyramid extraction module (gfpe) and global attention connection upsample module (gacu) are introduced to effectively extract and utilize the global semantic and edge information. |
2020-11-19 |
2023-08-13 |
human |
| Zhenchao Jin, Bin Liu, Qi Chu, Nenghai Y. SAFNet: A Semi-anchor-free Network with Enhanced Feature Pyramid for Object Detection. IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. vol PP. 2020-10-12. PMID:33026987. |
the paradigm adaptively integrates multi-scale representations in a non-linear method meanwhile suppress the redundant semantic information for each pyramid level, such that a clean and enhanced feature pyramid could be obtained. |
2020-10-12 |
2023-08-13 |
Not clear |
| Jonathan T Barron, Pablo Arbeláez, Soile V E Keränen, Mark D Biggin, David W Knowles, Jitendra Mali. Volumetric Semantic Segmentation using Pyramid Context Features. Proceedings. IEEE International Conference on Computer Vision. vol 2013. 2020-10-01. PMID:26029008. |
volumetric semantic segmentation using pyramid context features. |
2020-10-01 |
2023-08-13 |
drosophila_melanogaster |
| Zheng-Jun Zha, Chong Wang, Dong Liu, Hongtao Xie, Yongdong Zhan. Robust Deep Co-Saliency Detection With Group Semantic and Pyramid Attention. IEEE transactions on neural networks and learning systems. vol 31. issue 7. 2020-07-07. PMID:32071003. |
robust deep co-saliency detection with group semantic and pyramid attention. |
2020-07-07 |
2023-08-13 |
Not clear |
| Tae-Young Ko, Seung-Ho Le. Novel Method of Semantic Segmentation Applicable to Augmented Reality. Sensors (Basel, Switzerland). vol 20. issue 6. 2020-04-09. PMID:32245002. |
this paper proposes a novel method of semantic segmentation, consisting of modified dilated residual network, atrous pyramid pooling module, and backpropagation, that is applicable to augmented reality (ar). |
2020-04-09 |
2023-08-13 |
Not clear |
| Bin Jiang, Wenxuan Tu, Chao Yang, Junsong Yua. Context-Integrated and Feature-Refined Network for Lightweight Object Parsing. IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. 2020-03-16. PMID:32167897. |
meanwhile, the mcim consists of three cascaded dense semantic pyramid (dsp) blocks with image-level features, which is presented to encode multiple context information and enlarge the field of view. |
2020-03-16 |
2023-08-13 |
Not clear |