42 datasets found

Few-shot unsupervised image-to-image translation with a content conditioned style encoder

This paper proposes the Davis 2017 validation set for video object segmentation.

The Brain Image Synthesis with Unsupervised Multivariate Canonical Correlation Analysis (CSCL4Net) dataset is used to evaluate the performance of brain image synthesis algorithms.

ChangeChip is a comprehensive system for detecting defects on PCBs by applying change detection.

The proposed approach is tested on English-German, English-French and Chinese-to-English translation tasks.

Training a model for grammatical error correction (GEC) requires a set of labeled ungrammatical / grammatical sentence pairs, but manually annotating such pairs can be expensive.

The ImageCLEF-DA dataset is a benchmark dataset for ImageCLEF 2014 domain adaptation challenges, which contains 12 categories shared by three domains: Caltech-256 (C), ImageNet...

UCR Time Series Archive is a collection of time series datasets from various domains. It is used for training and testing deep neural networks for time series classification tasks.

A dataset for unsupervised performance evaluation of image segmentation.

The Skoltech Anomaly Benchmark (SKAB) is a dataset for anomaly detection in time-series data.

Unsupervised video object segmentation has made significant progress in recent years, but the manual annotation of video mask datasets is expensive and limits the diversity of...

Video object segmentation is a crucial task in computer vision that involves segmenting primary objects in a video sequence.

The dataset used in the paper is a collection of images from the SVHN dataset, along with labels. The dataset is used for image classification.

Singapore Whole-sky IMaging CATegories (SWIMCAT) contains 784 images of five categories: patterned clouds, clear sky, thick dark clouds, veil clouds, and thick white clouds.

MIT Places2 is a scene-centric dataset with more than 10 million images consisting of over 400 unique scene classes.

FGVC Aircraft (Airplanes) contains 102 different aircraft model variants with 100 images of each.

Oxford 102 Flowers is a dataset of images of different flower species.

Caltech-UCSD Birds (CUB) 200-2011 is a frequently used benchmark for unsupervised image segmentation. It consists of 11,788 images from 200 bird species.

The Viper dataset is a visual perception benchmark to facilitate both low-level and high-level vision tasks, e.g., optical flow and semantic segmentation. It consists of videos...

MultiShapeNet is a 3D dataset featuring scenes populated by 2-4 objects from the ShapeNetV2 dataset.