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Same Features, Different Day: Weakly Supervised Feature Learning for Seasonal Invariance., , and . CVPR, page 6458-6467. Computer Vision Foundation / IEEE, (2020)DeFeat-Net: General Monocular Depth via Simultaneous Unsupervised Representation Learning., , and . CVPR, page 14390-14401. Computer Vision Foundation / IEEE, (2020)The Monocular Depth Estimation Challenge., , , , , , , , , and 9 other author(s). WACV (Workshops), page 623-632. IEEE, (2023)The Monocular Depth Estimation Challenge., , , , , , , , , and 9 other author(s). CoRR, (2022)Medusa: Universal Feature Learning via Attentional Multitasking., , and . CVPR Workshops, page 3799-3808. IEEE, (2022)The Second Monocular Depth Estimation Challenge., , , , , , , , , and 33 other author(s). CVPR Workshops, page 3064-3076. IEEE, (2023)Kick Back & Relax: Learning to Reconstruct the World by Watching SlowTV., , , and . ICCV, page 15722-15733. IEEE, (2023)Kick Back & Relax++: Scaling Beyond Ground-Truth Depth with SlowTV & CribsTV., , , and . CoRR, (2024)Scale-Adaptive Neural Dense Features: Learning via Hierarchical Context Aggregation., , and . CVPR, page 6200-6209. Computer Vision Foundation / IEEE, (2019)Deconstructing Self-Supervised Monocular Reconstruction: The Design Decisions that Matter., , , and . Trans. Mach. Learn. Res., (2022)