Learning part segmentation through unsupervised domain adaptation from synthetic vehicles

Q Liu, A Kortylewski, Z Zhang, Z Li… - Proceedings of the …, 2022 - openaccess.thecvf.com
Part segmentations provide a rich and detailed part-level description of objects. However,
their annotation requires an enormous amount of work, which makes it difficult to apply …

Synset Boulevard: A Synthetic Image Dataset for VMMR*

A Sielemann, S Wolf, M Roschani… - … on Robotics and …, 2024 - ieeexplore.ieee.org
We present and discuss the Synset Boulevard dataset, designed for the task of surveillance-
nature vehicle make and model recognition (VMMR)—to the best of our knowledge the first …

Synthetic Driver Image Generation for Human Pose-Related Tasks

R Guesdon, CF Crispim-Junior, L Tougne - … Joint Conference on …, 2023 - hal.science
The interest in driver monitoring has grown recently, especially in the context of autonomous
vehicles. However, the training of deep neural networks for computer vision requires more …

[PDF][PDF] CGPart: A part segmentation dataset based on 3D computer graphics models

Q Liu, A Kortylewski, Z Zhang, Z Li, M Guo, Q Liu… - arXiv, 2021 - researchgate.net
Part segmentations provide a rich and detailed partlevel description of objects, but their
annotation requires an enormous amount of work. In this paper, we introduce CGPart, a …

Beyond Internet Images: Evaluating Vision-Language Models for Domain Generalization on Synthetic-to-Real Industrial Datasets

L Hémadou, H Vorobieva, E Kijak, F Jurie - Synthetic Data for Computer … - openreview.net
Vision Language Foundation Models (VLFMs) have shown impressive generalization
capabilities, making them suitable for Domain Generalization (DG) tasks, such as training on …

[图书][B] Deep into the Eyes: Applying Machine Learning to Improve Eye-Tracking

AK Chaudhary - 2022 - search.proquest.com
Eye-tracking has been an active research area with applications in personal and behavioral
studies, medical diagnosis, virtual reality, and mixed reality applications. Improving the …