Recent attention in instance segmentation has focused on query-based mod...
Along with the widespread use of face recognition systems, their
vulnera...
While uniform sampling has been widely studied in the matrix completion
...
Semi-supervised object detection (SSOD) aims to facilitate the training ...
Classification and topic modeling are popular techniques in machine lear...
In crowd counting, due to the problem of laborious labelling, it is perc...
The California Innocence Project (CIP), a clinical law school program ai...
A dataset of COVID-19-related scientific literature is compiled, combini...
Semantic parsing has emerged as a significant and powerful paradigm for
...