564 datasets found

Vehicle logo recognition using Swin Transformer

Vehicle logo recognition using Swin Transformer

A simulated low-dose CT dataset generated from normal-dose CT images to be used for training a deep neural network to remove noise from low-dose CT images.

Localization is one of the most important problems in various fields such as robotics and wireless communications. For instance, Unmanned Aerial Vehicles (UAVs) require the...

Development dataset for multimodal beam prediction challenge

Multimodal transformer deep learning framework for sensing-assisted beam prediction in wireless communications

Multilingual text classification dataset with 17 different languages

A general model for medical image segmentation that can solve unknown medical image segmentation tasks without requiring additional training.

The dataset used in this paper is CIFAR-10 and ImageNet datasets.

DeepSentiPers: Novel Deep Learning Models Trained Over Proposed Augmented Persian Sentiment Corpus

This dataset is used to test the robustness of watermarking methods against adaptive attacks.

The dataset used in the paper is DINOv2, a vision foundation model trained on a large-scale dataset.

The dataset used for radio galaxy classification based on morphology using deep learning methods.

The proposed Deep Visual Forced Alignment (DVFA) for time-aligning the input transcription with the input talking face video without using speech audio.

The dataset used in the paper is a synthetic dataset for blind super-resolution, consisting of low-resolution images and their corresponding blur kernels.

The dataset used in the paper is a continuous control task dataset.

The dataset used in the field tests consists of real-world broadcast content, mostly originating from WDR and BR.

Dialog+ is a technology being developed at Fraunhofer IIS. As shown in Figure 1, Dialog+ contains a deep neural network performing dialogue separation. This was trained using...

Voxceleb2: Deep speaker recognition.

The dataset used in this paper is a collection of real-world, mutants, and synthetic training programs.