{"id":"2301.06715","title":"SwinDepth: Unsupervised Depth Estimation using Monocular Sequences via Swin Transformer and Densely Cascaded Network","url":"https://codeofpaper.com/paper/2301.06715","arxiv_url":"https://arxiv.org/abs/2301.06715","published":"2023-01-17","code":"community","best":{"full_name":"dsshim0125/SwinDepth","url":"https://github.com/dsshim0125/SwinDepth","tier":"high_confidence_community","stars":38,"license":"MIT","framework":"PyTorch","language":"Python","last_commit":"2023-03-08T05:01:37"},"most_starred_community":null,"implementations":[{"full_name":"dsshim0125/SwinDepth","url":"https://github.com/dsshim0125/SwinDepth","tier":"high_confidence_community","stars":38,"license":"MIT","framework":"PyTorch","language":"Python","last_commit":"2023-03-08T05:01:37"}],"possible_matches":0}