3 accepted papers
The high-quality synthetic speech by TTS has been widely used in the field of human-computer interaction, bringing users better experience. However, synthetic speech is prone to be mixed with real human speech as part of the noise and recorded by the microphone, which leads to performance decrease f…
Scene perceiving and understanding tasks including depth estimation, visual odometry (VO) and camera relocalization are fundamental for applications such as autonomous driving, robots and drones. Driven by the power of deep learning, significant progress has been achieved on individual tasks but the…
Multi-label image classification aims to predict multiple labels for a single image which contains diverse content. By utilizing label correlations, various techniques have been developed to improve classification performance. However, current existing methods either neglect image features when expl…