All Relations between semantics and cnn

Publication Sentence Publish Date Extraction Date Species
Hao Chen, Feihong Shen, Ding Ding, Yongjian Deng, Chao L. Disentangled Cross-modal Transformer for RGB-D Salient Object Detection and Beyond. IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. vol PP. 2024-02-15. PMID:38354080. additionally, our cross-modal attention hierarchy can be plug-and-play for different backbone architectures (both transformer and cnn) and downstream tasks, and experiments on a cnn-based model and rgb-d semantic segmentation verify this generalization ability. 2024-02-15 2024-02-17 Not clear
Saba Arshad, Tae-Hyoung Par. SVS-VPR: A Semantic Visual and Spatial Information-Based Hierarchical Visual Place Recognition for Autonomous Navigation in Challenging Environmental Conditions. Sensors (Basel, Switzerland). vol 24. issue 3. 2024-02-10. PMID:38339624. the local feature-based matching involves the extraction of robust local features from cnn possessing invariant properties against environmental conditions and a place matching method utilizing semantic, visual, and spatial information. 2024-02-10 2024-02-12 Not clear
Xinyue Liu, Zhen Huang, Yulu Zhang, Yunjian Jia, Wanli We. CNN and Attention-Based Joint Source Channel Coding for Semantic Communications in WSNs. Sensors (Basel, Switzerland). vol 24. issue 3. 2024-02-10. PMID:38339674. cnn and attention-based joint source channel coding for semantic communications in wsns. 2024-02-10 2024-02-12 Not clear
Yitong Wang, Shumin Wang, Aixia Do. A Dual-Branch Fusion Network Based on Reconstructed Transformer for Building Extraction in Remote Sensing Imagery. Sensors (Basel, Switzerland). vol 24. issue 2. 2024-01-23. PMID:38257458. network models based on convolutional neural network (cnn) and transformer technology have been widely used for semantic segmentation of buildings from high resolution remote sensing images (hrsi). 2024-01-23 2024-01-25 Not clear
Pengfei Song, Jinjiang Li, Hui Fan, Linwei Fa. TGDAUNet: Transformer and GCNN based dual-branch attention UNet for medical image segmentation. Computers in biology and medicine. vol 167. 2023-11-25. PMID:37890420. firstly, high-level semantic feature information of the cnn backbone branches is fused at multiple scales, and the high-level and low-level feature information complement each other's location and spatial information. 2023-11-25 2023-11-28 Not clear
Yan Wang, Yanmei Luo, Chen Zu, Bo Zhan, Zhengyang Jiao, Xi Wu, Jiliu Zhou, Dinggang Shen, Luping Zho. 3D multi-modality Transformer-GAN for high-quality PET reconstruction. Medical image analysis. vol 91. 2023-11-05. PMID:37926035. then, as cnns can describe local spatial information well but have difficulty in modeling long-range dependencies in images, we further apply a transformer-based encoder to extract global semantic information in the input images and use a cnn decoder to transform the encoded features into spet images. 2023-11-05 2023-11-08 Not clear
Asma Alzaid, Beth Lineham, Sanja Dogramadzi, Hemant Pandit, Alejandro F Frangi, Sheng Quan Xi. Simultaneous Hip Implant Segmentation and Gruen Landmarks Detection. IEEE journal of biomedical and health informatics. vol PP. 2023-11-03. PMID:37922163. semantic segmentation based on the convolutional neural network (cnn) has demonstrated successful results in many medical segmentation tasks. 2023-11-03 2023-11-08 human
Asma Alzaid, Beth Lineham, Sanja Dogramadzi, Hemant Pandit, Alejandro F Frangi, Sheng Quan Xi. Simultaneous Hip Implant Segmentation and Gruen Landmarks Detection. IEEE journal of biomedical and health informatics. vol PP. 2023-11-03. PMID:37922163. we propose a multitask cnn that combines regression of pose and shape parameters constructed from the ssm and semantic segmentation of the implant. 2023-11-03 2023-11-08 human
Hanyun Li, Wenzao Li, Jiacheng Zhao, Peizhen Yu, Yao Huan. A sentiment analysis approach for travel-related Chinese online review content. PeerJ. Computer science. vol 9. 2023-09-14. PMID:37705661. then, bilstm is used to capture the global contextual sequence features of the travel text, while cnn is used to capture the richer local semantic information. 2023-09-14 2023-10-07 Not clear
Chao Zhang, Stephan Liwicki, Sen He, William Smith, Roberto Cipoll. HexNet: An Orientation-Aware Deep Learning Framework for Omni-Directional Input. IEEE transactions on pattern analysis and machine intelligence. vol PP. 2023-08-23. PMID:37607141. as our design is free of distortions and discontinuity, our orientation-aware cnn becomes a new state of the art for semantic segmentation on the recent 2d3ds dataset, and the omni-directional version of synthia introduced in this work. 2023-08-23 2023-09-07 Not clear
Haiyan Li, Jiayu Ding, Xin Shi, Qi Zhang, Pengfei Yu, Hongsong L. D-SAT: dual semantic aggregation transformer with dual attention for medical image segmentation. Physics in medicine and biology. 2023-08-22. PMID:37607559. firstly, the dual-semantic feature aggregation (dfa) module is designed to build a bridge between cnn and transformer, effectively aggregating cnn's local feature detail ability and transformer's long-range modeling ability to mitigate semantic information loss. 2023-08-22 2023-09-07 Not clear
Zhentao Hu, Yanyang Li, Zheng Wang, Shuo Zhang, Wei Ho. Conv-Swinformer: Integration of CNN and shift window attention for Alzheimer's disease classification. Computers in biology and medicine. vol 164. 2023-08-07. PMID:37549456. the cnn module summarizes the planar features of the mri slices, and the transformer module establishes semantic connections in 3d space for these planar features. 2023-08-07 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. at present, just a few studies have used cnn to automatically diagnose gastric polyps, and studies on their semantic segmentation are lacking. 2023-07-29 2023-08-14 Not clear
Yupeng Gao, Shengwei Zhang, Dongshi Zuo, Weihong Yan, Xin Pa. TMNet: A Two-Branch Multi-Scale Semantic Segmentation Network for Remote Sensing Images. Sensors (Basel, Switzerland). vol 23. issue 13. 2023-07-14. PMID:37447759. cnn has a strong ability to extract image backbone features, but due to the localization of convolution operation, it is challenging to directly obtain global feature information and contextual semantic interaction, which makes it difficult for a pure cnn model to obtain higher precision results in semantic segmentation of remote sensing images. 2023-07-14 2023-08-14 Not clear
Chen Li, Fanfan L. Emotion recognition of social media users based on deep learning. PeerJ. Computer science. vol 9. 2023-06-22. PMID:37346659. after gathering the long-distance semantic data with bidirectional long short-term memories (bilstm) and convolutional neural networks (cnn) extract the text's key characteristics to finish the emotion categorization. 2023-06-22 2023-08-14 Not clear
Junwen Wang, Shengwei Tian, Long Yu, Zhicheng Zhou, Fan Wang, Yongtao Wan. HIGF-Net: Hierarchical information-guided fusion network for polyp segmentation based on transformer and convolution feature learning. Computers in biology and medicine. vol 161. 2023-05-25. PMID:37230017. specifically, our higf-net excavates deep global semantic information and shallow local spatial features of images together with transformer encoder and cnn encoder. 2023-05-25 2023-08-14 Not clear
Jia Wu, Tingyu Yuan, Jiachen Zeng, Fangfang Go. A Medically Assisted Model for Precise Segmentation of Osteosarcoma Nuclei on Pathological Images. IEEE journal of biomedical and health informatics. vol PP. 2023-05-22. PMID:37216252. a multi-path semantic segmentation network combining transformer and cnn is used to segment images, and the degree of edge offset in the spatial domain is introduced into the loss function. 2023-05-22 2023-08-14 Not clear
Malik Abdul Manan, Feng Jinchao, Tariq M Khan, Muhammad Yaqub, Shahzad Ahmed, Imran Shabir Chuha. Semantic segmentation of retinal exudates using a residual encoder-decoder architecture in diabetic retinopathy. Microscopy research and technique. 2023-05-17. PMID:37194727. in this paper, we present a comparison of deep convolutional neural network (cnn) architectures and propose a residual cnn with residual skip connections to reduce the parameter for the semantic segmentation of exudates in retinal images. 2023-05-17 2023-08-14 Not clear
Songlin Dong, Yihong Gong, Jingang Shi, Miao Shang, Xiaoyu Tao, Xing Wei, Xiaopeng Hong, Tiangang Zho. Brain Cognition-Inspired Dual-Pathway CNN Architecture for Image Classification. IEEE transactions on neural networks and learning systems. vol PP. 2023-04-06. PMID:37022251. extensive experimental evaluations have revealed that the proposed cognets have achieved the state-of-the-art performance accuracies on all the six benchmark datasets and are very effective for overcoming the "texture bias" and the "semantic confusion" problems faced by many cnn models. 2023-04-06 2023-08-14 human
Debanjan Konar, Siddhartha Bhattacharyya, Tapan K Gandhi, Bijaya K Panigrahi, Richard Jian. 3-D Quantum-Inspired Self-Supervised Tensor Network for Volumetric Segmentation of Medical Images. IEEE transactions on neural networks and learning systems. vol PP. 2023-04-06. PMID:37022399. the 3-d-qnet has achieved promising dice similarity (ds) as compared with the time-intensive supervised convolutional neural network (cnn)-based models, such as 3-d-unet, voxelwise residual network (voxresnet), dense-res-inception net (drinet), and 3-d-espnet, thereby showing a potential advantage of our self-supervised shallow network on facilitating semantic segmentation. 2023-04-06 2023-08-14 Not clear