{"id":"1809.05825","title":"Segmenting Unknown 3D Objects from Real Depth Images using Mask R-CNN Trained on Synthetic Data","url":"https://codeofpaper.com/paper/1809.05825","arxiv_url":"https://arxiv.org/abs/1809.05825","published":"2018-09-16","code":"official","best":{"full_name":"BerkeleyAutomation/sd-maskrcnn","url":"https://github.com/BerkeleyAutomation/sd-maskrcnn","tier":"official","stars":216,"license":null,"framework":null,"language":"C++","last_commit":"2022-01-23T05:35:01"},"most_starred_community":null,"implementations":[{"full_name":"BerkeleyAutomation/sd-maskrcnn","url":"https://github.com/BerkeleyAutomation/sd-maskrcnn","tier":"official","stars":216,"license":null,"framework":null,"language":"C++","last_commit":"2022-01-23T05:35:01"}],"possible_matches":0}