24,167 datasets found

The Paris-Rue-Lille dataset is used for global localization tasks. It contains real-world point cloud data with semantic object-centric maps.

The Descriptellation dataset is used for global localization tasks. It contains real-world point cloud data with semantic object-centric maps.

The dataset used in this paper for dimensionally reducing single cell RNA sequencing data via Fokker-Planck diffusion maps.

The RPN dataset is a reverse Polish notation expression evaluation dataset.

SDXL: Improving latent diffusion models for high-resolution image synthesis.

The Face Research London Lab (FRLL) dataset contains images of faces with varying lighting conditions, expressions, and poses.

The Face Recognition Grand Challenge (FRGCv2) dataset contains images of faces with varying lighting conditions, expressions, and poses.

The dataset used in this paper is a collection of spectrograms, which are 2D representations of the frequency domain of RF signals.

Skin cancer segmentation using Segment Anything Model

The FairytaleQA dataset is a collection of open-source fairy tales downloaded from Project Gutenberg. The dataset contains 278 fairy tales with a total of 33,577 events...

Low-light image enhancement task using a generative diffusion model and Retinex decomposition

The dataset used in this paper is a user-item click matrix with item content data and item style labels.

The dataset used in the paper is a generic framework for convolution on arbitrary structures, which includes grid convolutions and graph convolutions.

The CIFAR10 and CIFAR100 datasets are used to evaluate the proposed randomized defense method.

CIFAR10 and ImageNet datasets are used as the original task for the pre-trained models.

CIFAR10-C and ImageNet-C datasets are used to evaluate the proposed framework for improving the natural robustness of trained DNNs against corrupted inputs.

A dataset for training the ArtScore model

A dataset for training the ArtScore model

A dataset for training the ArtScore model

A dataset for evaluating the artness of AI-generated images