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NeRF-Supervised-Deep-Stereo
A novel paradigm for collecting and generating stereo training data using neural renderingSMD-Nets
SMD-Nets: Stereo Mixture Density NetworksmonoResMatch-Tensorflow
Tensorflow implementation of monocular Residual Matching (monoResMatch) network.Awesome-Deep-Stereo-Matching
A curated list of awesome Deep Stereo Matching resourcesUnsupervised-Confidence-Measures
This strategy provides labels for training confidence measures based on machine-learning technique without ground-truth labels (BMVC 2017)LGC-Tensorflow
We propose to exploit nearby and farther clues available from image and disparity domains to obtain a more accurate confidence estimation. While local information is very effective for detecting high frequency patterns, it lacks insights from farther regions in the scene. On the other hand, enlarging the receptive field allows to include clues from farther regions but produces smoother uncertainty estimation, not particularly accurate when dealing with high frequency patterns. For these reasons, we propose a multi-stage cascaded network to combine the best of the two worlds.Optical-Tracking-Velocimetry
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