1,079 datasets found

The dataset is used for training and testing the proposed dual-camera smooth zoom (DCSZ) method.

Detecting temporal extents of human actions in videos is a challenging computer vision problem that requires detailed manual supervision including frame-level labels.

Pascal Visual Object Classification challenge consist of 20 image classes, where each image was parsed into an image graph using keypoints as nodes.

The Clevr VQA benchmark consists of an image corpus where each image is associated with a scene graph.

The dataset used in the paper is a set of feature-vectors from two sets of d-dimensional noisy feature-vectors.

A dataset of tricamera stereo sequences for road-modeling in the presence of windscreen wipers.

The dataset used for learning the dynamic behavior of tree branches by utilizing the simulation-based parameter inference approach.

The IIRC-CIFAR dataset is a benchmark for evaluating models in the Incremental Implicitly-Refined Classification (IIRC) setup.

Two large-scale benchmark datasets for reference-limited compositional zero-shot learning (RL-CZSL).

The dataset is used to develop new efficient visual markers based on the OILU numbering system.

A dataset for partially reconstructing high-resolution 4D light fields from a stack of differently focused photographs taken with a fixed camera.

ShiftAddViT: A hardware-inspired multiplication-reduced Vision Transformer model.

The Room-to-Room (R2R) dataset is a benchmark for vision-and-language navigation tasks. It consists of 7,189 paths sampled from its navigation graphs, each with three...

A new method for building open-ended vocabularies of primitive visual concepts represented in a GAN's latent space.

A hierarchical feature learning approach for 3D point cloud processing.

Hyperparameter optimization for transfer Convolutional Neural Networks (CNN) using Genetic Algorithm

Interiornet: Mega-scale multi-sensor photo-realistic indoor scenes dataset.

This paper proposes a dataset generation pipeline that uses physics simulation to generate images of objects in cluttered scenes.

The dataset used in the paper is the EuRoc micro aerial vehicle (MAV) datasets.

The dataset used in the paper is the LINEMOD and Occlusion LINEMOD datasets, which are used for 6D object pose estimation.