320 datasets found

Street View images of London.

The KITTI 2012 and 2015 datasets are used for stereo matching experiments.

The dataset used in the paper is a large-scale dataset for autonomous driving and UAV racing, generated using the Sim4CV simulator.

The dataset used in the paper for object detection, self-driving, and UAV racing tasks.

The dataset used in the paper is the CIFAR-100 and ImageNet datasets.

The MNIST and FashionMNIST datasets are used to test the performance of the proposed generative autoencoders.

Functional map of the world.

Data augmentation methods have played an important role in the recent advance of deep learning models, and have become an indispensable component of state-of-the-art models in...

Horse2zebra dataset contains 1000 images with 1000 annotated instances.

The dataset used in the paper is the Swin-B dataset, a variant of the Swin Transformer model.

Fast and accurate reconstruction of magnetic resonance (MR) images from under-sampled data is important in many clinical applications. In recent years, deep learning-based...

The dataset used in this study for brain sMRI analysis, which includes seven public datasets, including one dataset for pre-training and other six datasets across three diseases...

The dataset used in the paper for cinematic motion transfer, consisting of NeRF representations of 3D scenes and reference video clips.

Neural Radiance Fields (NeRFs) have emerged as promising tools for advancing autonomous driving (AD) research, offering scalable closed-loop simulation and data augmentation...

A large-scale 3D model repository containing over 16,000 3D models.

Neural Radiance Fields (NeRFs) model a 3D scene as a volumetric function, which can be rendered from arbitrary viewpoints to generate highly-realistic images.

The dataset used in the paper is a set of visual recognition tasks, spanning both the data-abundant and data-limited regimes.

The dataset used in the paper is not explicitly described, but it is mentioned that the authors used the CLIP model and the Comics, Paintings, and ChestX datasets.

CelebA: A Large-Scale Dataset and Network for Face Attribute Estimation

Deep learning face attributes in the wild