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Bengali OCR
Bengali handwritten character recognition dataset -
BanglaWritting
Bengali handwritten word images dataset -
Breast Ultrasound Dataset
The dataset in this paper comes from the database of the Ultrasound Imaging Department of Peking University Shenzhen Hospital. -
Thyroid Ultrasound Dataset
The Thyroid Ultrasound Dataset consists of 422 left and 422 right thyroid ultrasound images, and the Breast Ultrasound Dataset comprises 604 left and 151 right breast ultrasound... -
SAM-DRIVEN WEAKLY SUPERVISED NODULE SEGMENTATION WITH UNCERTAINTY-AWARE CROSS...
Automated nodule segmentation is essential for computer-assisted diagnosis in ultrasound images. Nevertheless, most existing methods depend on precise pixel-level annotations by... -
EM-Assist: Safe Automated ExtractMethod Refactoring with LLMs
EM-Assist is an automated refactoring tool that uses LLMs to generate refactoring suggestions and validates, enhances, and ranks them. -
Moving MNIST dataset
The Moving MNIST dataset consists of videos of MNIST digits. -
Bouncing Ball dataset
The Bouncing Ball dataset is a simulation of multiple balls moving around in a two-dimensional space surrounded by walls on all four sides. -
Mugshot dataset
The dataset used in the paper is a wide domain image dataset, and the authors propose a weakly semi-supervised method for disentangling using both labeled and unlabeled data. -
CAS-PEAL-R1 dataset
The dataset used in the paper is a wide domain image dataset, and the authors propose a weakly semi-supervised method for disentangling using both labeled and unlabeled data. -
Teapot dataset
The dataset used in the paper is a wide domain image dataset, and the authors propose a weakly semi-supervised method for disentangling using both labeled and unlabeled data. -
Square dataset
The dataset used in the paper is a wide domain image dataset, and the authors propose a weakly semi-supervised method for disentangling using both labeled and unlabeled data. -
Dual Swap Disentangling
The dataset used in the paper is a wide domain image dataset, and the authors propose a weakly semi-supervised method for disentangling using both labeled and unlabeled data. -
Component Training of Turbo Autoencoders
The dataset used in this paper is a serial Turbo Autoencoder (TurboAE) with Gaussian priors (TGP) for component training. -
KITTI 2012
KITTI 2012 is a real-world dataset in the outdoor scenario, and contains 194 training and 195 testing stereo image pairs with the size of 376 × 1240. -
Flickr1024
Stereo image super-resolution aims to improve the quality of high-resolution stereo image pairs by exploiting complementary information across views. -
Cora, Citeseer, and PubMed datasets
The dataset used in the paper is a citation network, specifically the Cora, Citeseer, and PubMed datasets. -
Prior Based Online Lane Graph Extraction from Single Onboard Camera
The proposed method extracts a complete lane graph from a single onboard camera image. It uses a transformer-based Wasserstein Autoencoder to process a lane graph and produce a... -
Switchboard
Human speech data comprises a rich set of domain factors such as accent, syntactic and semantic variety, or acoustic environment.