4 datasets found

Groups: 3D Reconstruction Organizations: No Organization

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  • MegaDepth dataset

    The dataset used for training the D2-Net model, consisting of 327,036 image pairs with at least 50% overlap in the sparse SfM point cloud.

  • ICL-NUIM

    The dataset used in this paper is an ICL-NUIM dataset, which contains images and depth maps.

  • NYUv2

    Multi-task learning (MTL) research is broadly divided into two categories: one is to learn the correlation between tasks through model structures, and the other is to balance...

  • MegaDepth

    Feature matching is a fundamental problem for many computer vision tasks, such as object recognition, structure from motion, and simultaneous localization and mapping.