{"id":"1909.03751","title":"Adaptive Unimodal Cost Volume Filtering for Deep Stereo Matching","url":"https://codeofpaper.com/paper/1909.03751","arxiv_url":"https://arxiv.org/abs/1909.03751","published":"2019-09-09","code":"official","best":{"full_name":"DeepMotionAIResearch/DenseMatchingBenchmark","url":"https://github.com/DeepMotionAIResearch/DenseMatchingBenchmark","tier":"official","stars":174,"license":"MIT","framework":null,"language":"Python","last_commit":"2021-11-08T10:28:47"},"most_starred_community":null,"implementations":[{"full_name":"DeepMotionAIResearch/DenseMatchingBenchmark","url":"https://github.com/DeepMotionAIResearch/DenseMatchingBenchmark","tier":"official","stars":174,"license":"MIT","framework":null,"language":"Python","last_commit":"2021-11-08T10:28:47"}],"possible_matches":0}