195,535 datasets found

This dataset is used for texture classification.

The Caltech-USCD Birds-200-2011 dataset contains 30,607 images of 200 bird species.

The Stanford-40 Actions dataset contains 9532 images of 40 different action classes.

The proposed method alternates classification and introspection. The introspection phase employs a strategy to select a sub-window for the next step by applying a beam-search to...

The dataset used for Natural Language Inference task, which involves a premise P = {p0, p1,..., pm−1} of m words and a hypothesis H = {h0, h1,..., hn−1} of n words, and aims to...

The proposed learning method aims to correct only the main sources of beam-hardening artifacts, while leaving fine data structures intact.

Deepfakes are synthetically generated images, videos or audios, which fraudsters use to manipulate legitimate information. The proposed technique outperforms state-of-the-art...

The dataset used in the paper is the MSLR-WEB30K dataset and the Yahoo! LTR dataset, which are the largest public LTR datasets from commercial search engines.

The DialogRE dataset is a dialogue-based relation extraction dataset for Chinese, which is used to improve machine reading comprehension.

C3 is a multiple-choice reading comprehension dataset. Here we use the C3 dataset4 proposed in [32], which is a competition dataset. It is necessary to construct pseudo-evidence...

District Compactness dataset

UT Zappos50K dataset

The patch ordering method for image denoising uses √n by √n overlapping image patches.

A variant of CIFAR-100 dataset, where the original dataset is split into 20 disjoint tasks, each consisting of 2,500 samples from 5 classes.

Generative kernel continual learning dataset

Face detection is a basic task for expression recognition. The reliability of face detection & face recognition approach has a major role on the performance and usability of...

Phononic metastructure reservoir architecture for intelligent wave functionality adaptation

Explainable Artificial Intelligence has gained significant attention due to the widespread use of complex deep learning models in high-stake domains such as medicine, finance,...

The dataset is used to test the algorithm for minimizing a convex objective function with noisy oracle.

The UniHPF dataset is a collection of Electronic Health Records (EHRs) from various hospitals, including MIMIC-III, MIMIC-IV, and eICU.