24,175 datasets found

The dataset used in this paper is a large-scale dataset for implicit feedback, consisting of user-item interactions, where each interaction is a pair of a user and an item.

The MovieLens10M dataset is a classic movie rating dataset, whose ratings range from 0.5 to 5.

The KITTI360 dataset is used for evaluating the proposed Tuple-Circle loss function for cross-modality feature learning. The dataset consists of image and LiDAR scan pairs.

PhotoBot is a framework for fully automated photo acquisition based on an interplay between high-level human language guidance and a robot photographer.

The dataset is used for redatuming physical systems using symmetric autoencoders. It contains seismic wave data from different states with varying nuisance parameters.

The authors used the ComplexPoint-v0, Pendulum-v0, LunarLanderContinuous-v2, Swimmer-v2, HalfCheetah-v2, HumanoidStandup-v2, Humanoid-v2 datasets for experiments.

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

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.