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Distracting Downpour - Adversarial Weather Attacks for Motion Estimation (Rep...
This dataset contains the generated weather configurations as png and npz files. Python, 3.10.12 This dataset contains the weather data files to replicate the results from our... -
Spring: A High-Resolution High-Detail Dataset and Benchmark for Scene Flow, O...
The Spring dataset contains files for scene flow, optical flow and stereo estimation. For easier handling, we organized them into sub-directories: train split:... -
Replication Data for: An Anisotropic Selection Scheme for Variational Optical...
Results of our proposed optical flow method on the Sintel and KITTI datasets. We provide the benchmark results before and after applying our refinement approach. Additionally,... -
6D Object Pose Estimation using 3D Object Coordinates [Data]
Supplementary training data and binaries for 6D object pose estimation, particularly a dataset of 20 objects under various lighting conditions with RGB-D images, ground truth... -
Neural-Guided RANSAC for Estimating Epipolar Geometry [Data]
Pre-computed sparse feature correspondences for pairs of images (outdoor and indoor) to reproduce the experiments described in our paper, particularly to train and evaluate... -
DSAC* Visual Re-Localization [Data]
Supplementary training data for visual camera re-localization, particularly rendered depth maps to be used in combination with the MSR 7Scenes dataset, and the Stanford 12Scenes... -
Expert Sample Consensus (ESAC) for Visual Re-Localization [Data]
Supplementary training data for visual camera re-localization, particularly pre-computed scene coordinates to the MSR 7Scenes dataset and the Standford 12Scenes dataset. We also... -
DSAC++ Visual Camera Re-Localization [Data]
Supplementary training data for visual camera re-localization, particularly rendered depth maps to be used in combination with the Cambridge Landmarks dataset. We also provide... -
Differentiable RANSAC (DSAC) for Visual Re-Localization [Data]
Pre-trained models of our camera re-localization method for the MSR 7Scenes dataset. For more information, also see the code documentation: https://github.com/cvlab-dresden/DSAC -
Wild-MuPPET - Multi-view posture dataset of foraging pigeons in the wild
Wild-MuPPET is a multi-view posture dataset of foraging pigeons outdoors, with 500 frames of 3D-ground truth and 2000 frames of 2D-ground truth of 9 keypoints. Paper:... -
3D-POP - An automated annotation approach to facilitate markerless 2D-3D trac...
The 3DPOP dataset is a large scale 2D to 3D posture, identity and trajectory dataset for freely moving pigeons. We use marker-based motion tracking to first track precise head... -
Synthetic MSI Images of Georgian Palimpsests (SGP Dataset)
This is a dataset of Synthetic MSI Images of Georgian Palimpsests (SGP Dataset). It has been created for the purpose of training inpainting models in order to remove the... -
INDIGO Change Detection Reference Dataset
The INDIGO Change Detection Reference Dataset Description This graffiti-centred change detection dataset was developed in the context of INDIGO, a research project focusing on... -
Software for Bubble identification from images with machine learning methods
This package contains the software and the trained models described in the publication "Bubble identification from images with machine learning methods". Please refer... -
Software for Bubble identification from images with machine learning methods
This package contains the software and the trained models described in the publication "Bubble identification from images with machine learning methods". Please refer... -
Software for Bubble identification from images with machine learning methods
This package contains the software and the trained models described in the publication "Bubble identification from images with machine learning methods". Please refer... -
Software for Bubble identification from images with machine learning methods
This package contains the software and the trained models described in the publication "Bubble identification from images with machine learning methods". Please refer... -
UAVPal
A drone survey was conducted in February 2023 at the city center of Bhopal City, Madhya Pradesh, India. The main objective of this survey is to better automate urban scene... -
Data Linking Workshop 2023: Computer Vision and Natural Language Processing –...
The humanities meet computer science to create new synergies using computer vision and natural language processing. Aim & Scope Historians are increasingly using... -
Data Linking Workshop 2023: Computer Vision and Natural Language Processing –...
The humanities meet computer science to create new synergies using computer vision and natural language processing. Aim & Scope Historians are increasingly using...