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Found 3 papers, 1 papers with code
EANet: Expert Attention Network for Online Trajectory Prediction
We introduce expert attention, which adjusts the weights of different depths of network layers, avoiding the model updated slowly due to gradient problem and enabling fast learning of new scenario's knowledge to restore prediction accuracy.
Reinforced Disentanglement for Face Swapping without Skip Connection
The SOTA face swap models still suffer the problem of either target identity (i. e., shape) being leaked or the target non-identity attributes (i. e., background, hair) failing to be fully preserved in the final results.
DenseBody: Directly Regressing Dense 3D Human Pose and Shape From a Single Color Image
Recovering 3D human body shape and pose from 2D images is a challenging task due to high complexity and flexibility of human body, and relatively less 3D labeled data.
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