Zero-shot object detection aims to localize and recognize objects of uns...
Scene text image super-resolution (STISR) is an important pre-processing...
The emergence of vertical federated learning (VFL) has stimulated concer...
With the increasing amount of spatial-temporal (ST) ocean data, numerous...
Recently, ”pre-training and fine-tuning” has been adopted as a standard
...
Contrastive learning have been widely used as pretext tasks for
self-sup...
Few-shot object detection (FSOD) is to detect objects with a few example...
Recent works have empirically shown the effectiveness of data augmentati...
The generic object detection (GOD) task has been successfully tackled by...
The distributed nature and privacy-preserving characteristics of federat...
Most of the existing methods for anomaly detection use only positive dat...
In image recognition, there are many cases where training samples cannot...
In financial markets, abnormal trading behaviors pose a serious challeng...