Co-occurrent visual patterns suggest that pixel relation modeling facilitates dense prediction
tasks, which inspires the development of numerous context modeling paradigms,\emph {eg}…

This paper studies the context aggregation problem in semantic image segmentation. The
existing researches focus on improving the pixel representations by aggregating the …

Co-occurrent visual pattern makes aggregating contextual information a common paradigm
to enhance the pixel representation for semantic image segmentation. The existing …

Cross-modality medical image synthesis is a critical topic and has the potential to facilitate
numerous applications in the medical imaging field. Despite recent successes in deep-…

In recent years, the field of object detection has made significant progress. The success of
most state-of-the-art object detectors is derived from the use of feature pyramid and the …

Feature pyramid network (FPN) is one of the key components for object detectors. However,
there is a long-standing puzzle for researchers that the detection performance of large-scale …

It is necessary to develop effective face forgery detection methods with constantly evolving
technologies in synthesizing realistic faces which raises serious risks on malicious face …

Intrapartum antibiotic prophylaxis reduces the risk of infection to a mother and neonate, but
antibiotic-mediated maternal and neonatal microbiota dysbiosis increases other health risks …

Co-occurrent visual pattern makes context aggregation become an essential paradigm for
semantic segmentation. The existing studies focus on modeling the contexts within image …

The deep learning-based face forgery detection is a novel yet challenging task. Despite
impressive results have been achieved, there are still some limitations in the existing methods. …