| Publication |
Sentence |
Publish Date |
Extraction Date |
Species |
| Siqi Wang, Xiaosheng Yu, Wenzhuo Jia, Jianning Chi, Pengfei Lv, Junxiang Wang, Chengdong W. Optic disc detection based on fully convolutional network and weighted matrix recovery model. Medical & biological engineering & computing. 2023-09-05. PMID:37668892. |
secondly, the top-down semantic prior information provided by fcn and bottom-up background prior information of the optic disc region are used to jointly construct the prior information weighting matrix, which more accurately guides the decomposition of the feature matrix into a sparse matrix representing the optic disc and a low-rank matrix representing the background. |
2023-09-05 |
2023-09-07 |
human |
| 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 |
| Yuze Li, Wushour Silamu, Zhenchao Wang, Miaomiao X. Attention-Based Scene Text Detection on Dual Feature Fusion. Sensors (Basel, Switzerland). vol 22. issue 23. 2022-12-11. PMID:36501774. |
the bi-directional feature fusion pyramid module (bfm) first adds stronger semantic information to the higher-resolution feature maps through a top-down process and then reduces the aliasing effects generated by the previous process through a bottom-up process to enhance the representation of multi-scale text semantic information. |
2022-12-11 |
2023-08-14 |
Not clear |
| Atsushi Matsumoto, Takahiro Soshi, Norio Fujimaki, Aya S Ihar. Distinctive responses in anterior temporal lobe and ventrolateral prefrontal cortex during categorization of semantic information. Scientific reports. vol 11. issue 1. 2021-11-03. PMID:34172800. |
the combination of bottom-up processing based on semantic characteristics in the left anterior temporal lobe and top-down processing based on task and/or context specific information in the left ventrolateral prefrontal cortex is required for the flexible categorization of semantic information. |
2021-11-03 |
2023-08-13 |
human |
| Klaus Hoenig, Lukas Schee. Mediotemporal contributions to semantic processing: fMRI evidence from ambiguity processing during semantic context verification. Hippocampus. vol 15. issue 5. 2005-09-07. PMID:15884095. |
contrary to previous reports from human lesion studies, the present findings further suggest, that the specific cognitive component of lexico-semantic ambiguity processing is neither dependent on the hippocampus nor exclusively subserved by the temporal pole, but also recruits an associative semantic memory function from the parahippocampal gyrus as well as a more general (bottom-up) semantic function from the fusiform gyrus. |
2005-09-07 |
2023-08-12 |
human |
| H Tomita, M Ohbayashi, K Nakahara, I Hasegawa, Y Miyashit. Top-down signal from prefrontal cortex in executive control of memory retrieval. Nature. vol 401. issue 6754. 1999-11-02. PMID:10537108. |
in the absence of bottom-up visual inputs, single inferior temporal neurons were activated by the top-down signal, which conveyed information on semantic categorization imposed by visual stimulus-stimulus association. |
1999-11-02 |
2023-08-12 |
monkey |