462 research outputs found
A Bibliographic View on Constrained Clustering
A keyword search on constrained clustering on Web-of-Science returned just
under 3,000 documents. We ran automatic analyses of those, and compiled our own
bibliography of 183 papers which we analysed in more detail based on their
topic and experimental study, if any. This paper presents general trends of the
area and its sub-topics by Pareto analysis, using citation count and year of
publication. We list available software and analyse the experimental sections
of our reference collection. We found a notable lack of large comparison
experiments. Among the topics we reviewed, applications studies were most
abundant recently, alongside deep learning, active learning and ensemble
learning.Comment: 18 pages, 11 figures, 177 reference
Towards Grouping in Large Scenes with Occlusion-aware Spatio-temporal Transformers
Group detection, especially for large-scale scenes, has many potential
applications for public safety and smart cities. Existing methods fail to cope
with frequent occlusions in large-scale scenes with multiple people, and are
difficult to effectively utilize spatio-temporal information. In this paper, we
propose an end-to-end framework,GroupTransformer, for group detection in
large-scale scenes. To deal with the frequent occlusions caused by multiple
people, we design an occlusion encoder to detect and suppress severely occluded
person crops. To explore the potential spatio-temporal relationship, we propose
spatio-temporal transformers to simultaneously extract trajectory information
and fuse inter-person features in a hierarchical manner. Experimental results
on both large-scale and small-scale scenes demonstrate that our method achieves
better performance compared with state-of-the-art methods. On large-scale
scenes, our method significantly boosts the performance in terms of precision
and F1 score by more than 10%. On small-scale scenes, our method still improves
the performance of F1 score by more than 5%. The project page with code can be
found at http://cic.tju.edu.cn/faculty/likun/projects/GroupTrans.Comment: 11 pages, 5 figure
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