1,082 datasets found

The dataset used in this paper is a ResNet50 model, which is a convolutional neural network. The model is used to evaluate the effects of quantization on the compute...

A real-world dataset for motion-blurred hand extraction task.

A synthetic dataset for motion-blurred hand extraction task.

The dataset used in the paper is CIFAR-10 and ILSVRC-2012.

The dataset used in this paper is ResNet50, ResNet34, and ResNet18.

The dataset used in this paper is VGG19-BN, CIFAR-10, and CIFAR-100.

A point cloud dataset with large quantity of dynamic instances, consisting of 2,988 real-world scans with point-level annotations.

The Lung Image Database Consortium (LIDC) dataset contains 1609 2D thoracic CT scans belonging to 214 subjects.

MobileNet is a compact network working accurately and efficiently based on light-weight module of separable convolution layers.

Single-image human relighting aims to relight a target human under new lighting conditions by decomposing the input image into albedo, shape and lighting.

Semantic segmentation is a crucial and challenging task for image understanding. It aims to predict a dense labeling map for the input image, which assigns each pixel a unique...

The dataset used for 6D object pose estimation, consisting of images of 16 objects with varying levels of occlusion.

The Objaverse dataset contains around 800k 3D objects. After adopting simple filter leveraging CLIP [27] to remove the objects whose rendered images are not relevant to its...

The datasets used in the paper are described as follows: WikiMIA, BookMIA, Temporal Wiki, Temporal arXiv, ArXiv-1 month, Multi-Webdata, LAION-MI, Gutenberg.

Recent studies show that Transformer has strong capability of building long-range dependencies, yet is incompetent in capturing high frequencies that predomi- nantly convey...

Self-supervised representation learning for Vision Transformers (ViT) to mitigate the greedy needs of ViT networks for very large fully-annotated datasets.

The dataset used in the paper is ShapeNetPart, a synthetic dataset for 3D object part segmentation. It contains 16,881 models from 16 categories.

Large scale multi-view stereopsis evaluation dataset.

The dataset used in this study is a semantic PCB image dataset, which contains images of PCBs with annotated components.

The dataset used in the paper is not explicitly described, but it is mentioned that the authors conducted experiments on various vision tasks, including image classification,...