Formulated as a conditional generation problem, face animation aims at
s...
High-capacity image steganography, aimed at concealing a secret image in...
Gait recognition has a rapid development in recent years. However, gait
...
Deep Learning has implemented a wide range of applications and has becom...
RGB-D salient object detection (SOD) is usually formulated as a problem ...
Unsupervised domain adaptation (UDA) typically carries out knowledge tra...
With the motivation of practical gait recognition applications, we propo...
As a challenging problem in machine learning, few-shot class-incremental...
Knowledge distillation has emerge as a promising technique for compressi...
Real-time semantic segmentation on high-resolution videos is challenging...
To satisfy the stringent requirements on computational resources in the ...
Panoptic segmentation aims to perform instance segmentation for foregrou...
Real-time semantic video segmentation is a challenging task due to the s...
The increasing momentum of service-oriented architecture has led to the
...