Learning part segmentation through unsupervised domain adaptation from synthetic vehicles
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 …
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 …
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 …
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
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 …
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 …
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 …
studies, medical diagnosis, virtual reality, and mixed reality applications. Improving the …