Artificial Intelligence (AI) has found wide application, but also poses ...
A large number of annotated training images is crucial for training
succ...
Semi-supervised video anomaly detection (VAD) is a critical task in the
...
Employing a dictionary can efficiently rectify the deviation between the...
Historical manuscript processing poses challenges like limited annotated...
Temporal action localization (TAL) is a prevailing task due to its great...
Automatic font generation without human experts is a practical and
signi...
Video anomaly detection aims to find the events in a video that do not
c...
Open World Object Detection (OWOD) is a challenging computer vision prob...
Scene text recognition is a challenging task due to the complex backgrou...
Soil consolidation is closely related to seepage, stability, and settlem...
Video anomaly detection (VAD) mainly refers to identifying anomalous eve...
Robust vision restoration for an underwater image remains a challenging
...
Font generation is a challenging problem especially for some writing sys...
Contextual information plays an important role in action recognition. Lo...
Historical features are important in ads click-through rate (CTR) predic...
Underwater robotic perception usually requires visual restoration and ob...
In this paper, we propose new operator-splitting algorithms for the tota...
Scene text recognition has recently been widely treated as a
sequence-to...
Convolutional neural networks (CNNs) have demonstrated superior performa...
Recurrent neural network (RNN) and connectionist temporal classification...