Unsupervised anomaly detection (UAD) attracts a lot of research interest...
Class imbalance is a common challenge in real-world recognition tasks, w...
Most existing cross-modal retrieval methods employ two-stream encoders w...
Semi-supervised anomaly detection (SSAD) methods have demonstrated their...
Video Moment Retrieval (VMR) aims at retrieving the most relevant events...
Zero-Shot Learning has been a highlighted research topic in both vision ...
To achieve promising results on removing noise from real-world images, m...
The paper considers independent reinforcement learning (IRL) for multi-a...
Based on various existing wireless fingerprint location algorithms in
in...
The scene graph generation (SGG) task aims to detect visual relationship...
By adding human-imperceptible perturbations to images, DNNs can be easil...
The paper considers a distributed version of deep reinforcement learning...
Cross-modal matching has been a highlighted research topic in both visio...
The popularity of photo sharing services has increased dramatically in r...
Spatial and temporal stream model has gained great success in video acti...
Despite great success has been achieved in activity analysis, it still h...
A major challenge in matching images and text is that they have intrinsi...
Instance Search (INS) is a fundamental problem for many applications, wh...
Video captioning has been attracting broad research attention in multime...