1,082 datasets found

The proposed method for Multi-View Virtual Try-On (MV-VTON) task, which aims at using the frontal and back clothing to reconstruct the dressing results of a person from multiple...

A dataset of 2000 RGB images for lane detection using SegNet architecture.

A real-world dataset captured by mobile phones and containing quite complex trajectories.

A novel end-to-end method that does not require prior camera parameters to deal with image sequences with complex trajectories.

The proposed method, dubbed Dynamic Hyperpixel Flow, learns to compose hypercolumn features on the fly by selecting a small number of relevant layers from a deep convolutional...

The Oxford RobotCar Dataset is a collection of images and videos of a car driving on various roads and conditions.

The dataset used in the paper is MNIST, CIFAR-10, CIFAR-100, Tiny-ImageNet, and VGG-like.

This paper proposes the use of Neural Radiance Fields (NeRF) as a scene representation for visual localization.

The Cambridge Landmarks dataset contains 5 different large outdoor scenes of landmarks in the city of Cambridge.

The dataset used in this paper is a sparse Resnet50 model, which is a variant of the Resnet50 model with 80% sparsity.

The proposed two-level group convolution is suitable for distributed memory computing and robust with respect to the large number of groups.

The proposed Win Transformer achieves consistently superior performance than Swin Transformer on multiple computer vision tasks, including image recognition, semantic...

The dataset used in the paper is the ResNet-50 dataset, a convolutional neural network model.

Deep convolutional neural networks have achieved remarkable success in computer vision. However, deep neural networks require large computing resources to achieve high...

The Traffic Signs dataset contains 39252 training images in 43 classes.

Human perception of surroundings is often guided by the various poses present within the environment. Many computer vision tasks, such as human action recognition and robot...

The Cap3D dataset is a large-scale dataset of 3D models with captions.

The Objaverse-LVIS dataset contains ∼ 46,000 3D models in 1,156 categories.

The dataset used in this paper is ImageNet-1000 pre-trained CNNs.

The proposed Attentive Normalization (AN) that aims to harness the best of feature normalization and feature attention in a single lightweight module.