Self-Supervised Multiscale Adversarial Regression Network for Stereo Disparity Estimation
IEEE Transactions on Cybernetics(2021)
摘要
Deep learning approaches have significantly contributed to recent progress in stereo matching. These deep stereo matching methods are usually based on supervised training, which requires a large amount of high-quality ground-truth depth map annotations that are expensive to collect. Furthermore, only a limited quantity of stereo vision training data are currently available, obtained either by acti...
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关键词
Estimation,Feature extraction,Training,Sensors,Generative adversarial networks,Generators,Annotations
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