这样的事实表明,还有很大的改进空间。 Considering that object boundary regions contain less mixed dependencies and they are important clues that all the inner pixels share in common, we therefore investigate a boundary constraint for context aggregation in this study, that only the dependencies between t...
(2) Boundary guided Context Aggregation (BCA) module:利用上述获得的边缘图引导上下文信息聚合,获得鲁棒性更强的特征图; 总结来说,MSB模块进行边缘检测提取边缘图,则BCA模块利用边缘图进行上下文信息完成语义分割任务,边缘检测和语义分割两个子任务共享同一个backbone。 3.2 Multi-Scale Boundary (MSB) extractor MSB...
In contrast to the previous studies, we exploit boundary as a significant guidance for context aggregation to promote the overall semantic understanding of an image. To this end, we propose a Boundary guided Context Aggregation Network (BCANet), where a Multi-Scale Boundary extractor (MSB) ...
To address the above issues, this paper proposes a Multi-branch Boundary Generation Network (MBGNet) with temporal context aggregation. It improves the performance of temporal action proposal generation by exploiting rich temporal context features and complementary boundary generators.First, we propose a...
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Further experimentation needs to be done in order to best inform prospective federations as to which technologies to use towards addressing their specific concerns within the context of the collaborator infrastructure and trust levels, depending on the use-case, the extent of the collaborating network,...
Salient object detection using a context-aware refinement network. [23] Paul Jaccard. The distribution of the flora in the alpine zone. 1. New phytologist, 11(2):37–50, 1912. [24] Martin Ja¨gersand. Saliency maps and attention selection in scale and spatial coordinates: An information ...
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(2) Actionness-guided methods can solely provide predictions of temporal boundary, while they have to rely on the extra model such as S-CNN [33] and P-GCN [41] for classifica- tion. Nevertheless, the models of two stages are isolated and thus incapa...
This strong reliance on the RBV logic guided our choice to use the RBV as a basis for our nomological network because it enables us to validate and extend the extant LoC research. 8 “The single loop learning keeps a process within desired bounds; double loop learning leads to question ...