3 datasets found

Tags: attention mechanisms

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  • rotated MNIST, CIFAR-10, and PatchCamelyon

    The dataset used in the paper is not explicitly described. However, it is mentioned that the authors used the rotated MNIST, CIFAR-10, and PatchCamelyon datasets.
  • Channelized Axial Attention

    Semantic segmentation is a fundamental task in many computer vision applications, which assigns a class label to each pixel in the image.
  • MSR-VTT

    The dataset used in the paper is MSR-VTT, a large video description dataset for bridging video and language. The dataset contains 10k video clips with length varying from 10 to...
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