Abstract: Most existing discriminative tracking algorithms use a sampling-and-labeling strategy to collect examples and treat the training example collection as a task that is independent of ...

We are right in the middle of Burmese python nesting season in South Florida, and one recent discovery is highlighting just how adaptable this invasive species has become. A python was found hiding ...

SplaTAM has been benchmarked with Python 3.10, Torch 1.12.1 & CUDA=11.6. However, Torch 1.12 is not a hard requirement and the code has also been tested with other ...

@article{zhou2020tracking, title={Tracking Objects as Points}, author={Zhou, Xingyi and Koltun, Vladlen and Kr{\"a}henb{\"u}hl, Philipp}, journal={ECCV}, year={2020} } Tracking has traditionally been ...

While these imaging datasets hold the potential for biological insights, accessing and interacting with such complex data typically demands highly specialized technical expertise and substantial ...

Abstract: 3D multi-object tracking is an important component of autonomous driving technology. Recent 3D multi-object tracking methods still suffer from issues such as information loss during the ...

Sign up to receive the Vogue Business newsletter for the latest luxury news and insights, plus exclusive membership discounts. LVMH has awarded its 2024 Innovation ...

The alternative text for this image may have been generated using AI. The PoCA graphical user interface (GUI) is simple, intuitive and user friendly (Fig. 1b). It is designed to allow users as well as ...

Intracranial stereoelectroencephalography (SEEG) is broadly used in the presurgical evaluation of intractable epilepsy, due to its high temporal resolution in neural activity recording and high ...

Terrestrial time-lapse photogrammetry is a rapidly growing method for deriving measurements from glacial environments because it provides high spatio-temporal resolution records of change. Currently, ...