Dense convolutional network (DenseNet) is a hot topic in deep learning research in recent
years, which has good applications in medical image analysis. In this paper, DenseNet is …

Person re-identification has achieved great progress with deep convolutional neural
networks. However, most previous methods focus on learning individual appearance feature …

Person re-identification (Re-ID) requires discriminative features focusing on the full person
to cope with inaccurate person bounding box detection, background clutter, and occlusion …

Person re-identification has received a lot of attention from the research community in recent
times. Due to its vital role in security based applications, person re-identification lies at the …

The Transformer has been applied into computer vision to explore long-range
dependencies with multi-head self-attention strategy, therefore numerous Transformer …

Temporal cues embedded in videos provide important clues for person Re-Identification
(ReID). To efficiently exploit temporal cues with a compact neural network, this work …

Introduction: N4-acetylcytidine (ac4C) is a critical acetylation modification that has an
essential function in protein translation and is associated with a number of human diseases …

Learning discriminative, view-invariant and multi-scale representations of object
appearance with different semantic levels is of paramount importance for person Re …

Channel attention mechanisms have been commonly applied in many visual tasks for
effective performance improvement. It is able to reinforce the informative channels as well as …

Person re-identification has become an essential application within computer vision due to
its ability to match the same person over non-overlapping cameras. However, it is a …