16 datasets found

A real-world dataset for testing the proposed method for light-resistant optical flow estimation and pose estimation.

A synthetic dataset for training and testing the proposed method for light-resistant optical flow estimation and pose estimation.

A synthetic dataset for training and testing the proposed method for light-resistant optical flow estimation and pose estimation.

A dataset for training and testing the proposed method for light-resistant optical flow estimation and pose estimation.

The Zhu et al. dataset is a dataset for event-based camera data, featuring optical flow estimation results.

The EV-FlowNet dataset is a dataset for event-based camera data, featuring optical flow estimation results.

A dataset for optical flow evaluation, including a naturalistic open source movie.

The dataset used for training and testing the proposed EDNet model for efficient disparity estimation.

The dataset used in the paper is not explicitly described, but it is mentioned that the authors applied their approach to the challenging problem of optical flow estimation and...

The Flying Chairs dataset is used for training and testing the proposed method.

The CB-dataset consists of 143 scenes each rendered from 50 viewpoints along a camera trajectory, which allows to simulate real movements that change the point of view.

The Middlebury dataset is a benchmark for stereo vision and 3D reconstruction.

Dense pixel matching is required for many computer vision algorithms such as disparity, optical flow or scene flow estimation. Feature Pyramid Networks (FPN) have proven to be a...

The dataset used in the paper is a Sintel dataset, which consists of low-resolution optical flow maps and their corresponding high-resolution RGB images.

Dense pixel matching is required for many computer vision algorithms such as disparity, optical flow or scene flow estimation. Feature Pyramid Networks (FPN) have proven to be a...

Optical flow estimation using a deep lightweight network