6 datasets found

Groups: Image Segmentation Formats: JSON

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  • NYUD-v2

    The NYUD-v2 dataset is a benchmark for indoor scene segmentation and depth estimation. It contains 1449 images with 4 tasks: semantic segmentation, depth estimation, surface...

  • SceneNet RGB-D

    The dataset used in this paper for multi-sensor next-best-view planning as matroid-constrained submodular maximization.

  • SUN-RGBD

    The dataset is used for indoor scene understanding and contains RGB and depth images.

  • 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...

  • NYUDv2

    The NYUDv2 dataset contains 1,449 labeled indoor-scene RGB images with both parsing annotations and Kinect depths.

  • SUN RGB-D

    RGB-D scene recognition approaches often train two standalone backbones for RGB and depth modalities with the same Places or ImageNet pre-training. However, the pre-trained...