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MonoViT: Self-Supervised Monocular Depth Estimation with a Vision Transformer.

, , , , , , , , и . 3DV, стр. 668-678. IEEE, (2022)

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Matteo Garavoglia

 

Другие публикации лиц с тем же именем

Efficient Confidence Measures for Embedded Stereo., , и . ICIAP (1), том 10484 из Lecture Notes in Computer Science, стр. 483-494. Springer, (2017)Neural Disparity Refinement for Arbitrary Resolution Stereo., , , , , , и . 3DV, стр. 207-217. IEEE, (2021)MonoViT: Self-Supervised Monocular Depth Estimation with a Vision Transformer., , , , , , , , и . 3DV, стр. 668-678. IEEE, (2022)Real-Time Self-Adaptive Deep Stereo., , , , и . CVPR, стр. 195-204. Computer Vision Foundation / IEEE, (2019)Distilled Semantics for Comprehensive Scene Understanding from Videos., , , , , , и . CVPR, стр. 4653-4664. Computer Vision Foundation / IEEE, (2020)RGB-Multispectral Matching: Dataset, Learning Methodology, Evaluation., , , , , и . CVPR, стр. 15937-15947. IEEE, (2022)Leveraging Confident Points for Accurate Depth Refinement on Embedded Systems., , и . CVPR Workshops, стр. 158-167. Computer Vision Foundation / IEEE, (2019)Learning a General-Purpose Confidence Measure Based on O(1) Features and a Smarter Aggregation Strategy for Semi Global Matching., и . 3DV, стр. 509-518. IEEE Computer Society, (2016)Lightweight Self-Supervised Depth Estimation with few-beams LiDAR Data., , , и . BMVC, стр. 356-357. BMVA Press, (2023)On the Synergies between Machine Learning and Stereo: a Survey., , , , и . CoRR, (2020)