Most existing salient object detection methods mostly use U-Net or featu...
Problems such as equipment defects or limited viewpoints will lead the
c...
Offline reinforcement learning learns an effective policy on offline dat...
In online advertising, auto-bidding has become an essential tool for
adv...
Multi-step off-policy reinforcement learning has achieved great success....
Hashing based cross-modal retrieval has recently made significant progre...
Learning a stable and generalizable centralized value function (CVF) is ...
Proximal policy optimization (PPO) is one of the most successful deep
re...
In real-world scenarios, the observation data for reinforcement learning...
Model-free reinforcement learning relies heavily on a safe yet explorato...
Human age estimation has attracted increasing researches due to its wide...
Over the last two decades, face alignment or localizing fiducial facial
...
Learning a good distance metric in feature space potentially improves th...
One major challenge in computer vision is to go beyond the modeling of
i...
In this paper, we investigate the problem of learning feature representa...