1,082 datasets found

The dataset used for training and testing the proposed RGBD-based obstacle avoidance system for visually impaired people.

Local feature matching is an essential component in many visual applications. In this work, we propose OAMatcher, a detector-free method that imitates humans behavior to realize...

The dataset used in this paper is CIFAR10/100, ImageNet, and CUB-200.

Sketchy is a large collection of sketch-photo pairs. The dataset consists of images from 125 different classes, with 100 photos each.

Reconstructing textured meshes from colored point clouds is an important but challenging task in 3D graphics and vision. Most existing methods predict colors as implicit...

The dataset used in the paper is not explicitly described, but it is mentioned that the authors used a subset of the validation dataset used for the ImageNet Large Scale Visual...

The MNIST and CIFAR10 datasets are used to evaluate the proposed Adversarial Training with Transferable Adversarial Examples (ATTA) method.

The dataset used in this paper for training and testing the KAISA optimizer framework.

The authors created a custom dataset for their experiment, consisting of 33,000 images of 320 possible object-image combinations, with 10 possible shapes, 8 possible colors, 2...

The dataset used in this paper is not explicitly described, but it is mentioned that the authors examined the trend away from max pooling in newer architectures.

The dataset used in the paper is not explicitly described. However, it is mentioned that the authors used CIFAR-10 and CIFAR-100 datasets for image classification, and Stanford...

A dataset for validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images

A multi-modal dataset capturing self-driving scenes in various conditions, including different times of day and weather.

The dataset used in this paper for medical image segmentation, including images from the ISBI-2012 dataset.

Multi-label image recognition is a practical and challenging task compared to single-label image classification.

Temporal Colour Constancy (TCC) dataset, a benchmark for temporal color constancy

Chest X-rays are widely used to diagnose thoracic diseases, but the lack of detailed information about these abnormalities makes it challenging to develop accurate automated...

A 3D warehouse dataset used to create the dataset mentioned in the paper.

A dataset of more than 7 million images with controlled changes in pose, position, background, lighting color, and size.

Recent self-supervised visual representation methods are closing the gap with supervised learning performance. Most of these successful methods rely on maximizing the similarity...