10 datasets found

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  • SEED

    The SEED dataset contains 15 subjects recorded while watching movie clips designated with a negative/neutral/positive emotion label.

  • MSRC

    The dataset used in the paper is a multi-view clustering dataset, which contains 6 views of 2000 samples each. The dataset is used to evaluate the performance of the proposed...

  • MIT Scene Parsing Dataset

    The MIT scene parsing dataset used for training the FCN network.

  • Pyramid scene parsing network

    Pyramid scene parsing network for semantic segmentation.

  • Indoor Segmentation and Support Inference from RGB-D Images

    Indoor segmentation and support inference from RGB-D images.

  • 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...

  • Visual Genome

    The Visual Genome dataset is a large-scale visual question answering dataset, containing 1.5 million images, each with 15-30 annotated entities, attributes, and relationships.

  • LSUN

    The dataset used for training and validation of the proposed approach to combine semantic segmentation and dense outlier detection.

  • Cityscapes

    The Cityscapes dataset is a large and famous city street scene semantic segmentation dataset. 19 classes of which 30 classes of this dataset are considered for training and...