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pro vyhledávání: '"Hirschorn A"'
In the study of animal behavior, researchers often record long continuous videos, accumulating into large-scale datasets. However, the behaviors of interest are often rare compared to routine behaviors. This incurs a heavy cost on manual annotation,
Externí odkaz:
http://arxiv.org/abs/2412.03452
Autor:
Hirschorn, Or, Avidan, Shai
Category-Agnostic Pose Estimation (CAPE) localizes keypoints across diverse object categories with a single model, using one or a few annotated support images. Recent works have shown that using a pose graph (i.e., treating keypoints as nodes in a gr
Externí odkaz:
http://arxiv.org/abs/2411.16665
Conventional 2D pose estimation models are constrained by their design to specific object categories. This limits their applicability to predefined objects. To overcome these limitations, category-agnostic pose estimation (CAPE) emerged as a solution
Externí odkaz:
http://arxiv.org/abs/2406.00384
Vector image representation is a popular choice when editability and flexibility in resolution are desired. However, most images are only available in raster form, making raster-to-vector image conversion (vectorization) an important task. Classical
Externí odkaz:
http://arxiv.org/abs/2312.11334
Autor:
Hirschorn, Or, Avidan, Shai
Traditional 2D pose estimation models are limited by their category-specific design, making them suitable only for predefined object categories. This restriction becomes particularly challenging when dealing with novel objects due to the lack of rele
Externí odkaz:
http://arxiv.org/abs/2311.17891
The future success of the Navy will depend, in part, on artificial intelligence. In practice, many artificially intelligent algorithms, and in particular deep learning models, rely on continual learning to maintain performance in dynamic environments
Externí odkaz:
http://arxiv.org/abs/2311.10787
Autor:
Hirschorn, James
Rothberger's question of whether the two cardinals $\mathfrak p$ and $\mathfrak t$ are equal, posed back in 1948, was only answered fairly recently in the affirmative. Here we answer the more difficult progenitor question (posed in the same place) on
Externí odkaz:
http://arxiv.org/abs/2212.14171
Autor:
Hirschorn, Or, Avidan, Shai
Video anomaly detection is an ill-posed problem because it relies on many parameters such as appearance, pose, camera angle, background, and more. We distill the problem to anomaly detection of human pose, thus decreasing the risk of nuisance paramet
Externí odkaz:
http://arxiv.org/abs/2211.10946
Image translation across domains for unpaired datasets has gained interest and great improvement lately. In medical imaging, there are multiple imaging modalities, with very different characteristics. Our goal is to use cross-modality adaptation betw
Externí odkaz:
http://arxiv.org/abs/2201.09693
Autor:
Goldberg-Stein, Shlomit, Varghese, Jerrin, Wang, Jason J., Berkowitz, Jonathan, Armstrong, Brittany, Hatcher, Melissa, Hirschorn, David, Barish, Matthew
Publikováno v:
In Journal of the American College of Radiology August 2024 21(8):1239-1247
