Open-World Stereo Video Matching with Deep RNN

ECCV 2018 Yiran ZhongHongdong LiYuchao Dai

Deep Learning based stereo matching methods have shown great successes and achieved top scores across different benchmarks. However, like most data-driven methods, existing deep stereo matching networks suffer from some well-known drawbacks such as requiring large amount of labeled training data, and that their performances are fundamentally limited by the generalization ability... (read more)

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