Tootfinder

Road Obstacle Video Segmentation
Shyam Nandan Rai, Shyamgopal Karthik, Mariana-Iuliana Georgescu, Barbara Caputo, Carlo Masone, Zeynep Akata
https://arxiv.org/abs/2509.13181 htt…

Road Obstacle Video Segmentation
With the growing deployment of autonomous driving agents, the detection and segmentation of road obstacles have become critical to ensure safe autonomous navigation. However, existing road-obstacle segmentation methods are applied on individual frames, overlooking the temporal nature of the problem, leading to inconsistent prediction maps between consecutive frames. In this work, we demonstrate that the road-obstacle segmentation task is inherently temporal, since the segmentation maps for cons…

Auf gehts ein paar Bananen ausgraben und Sachen kaputt machen 🍌🦧🎮
Heute ist Donkey Kong Bananza erschienen.
#Nintendo

Nintendo Switch 2: Abwärtskompatibilität – das müssen Sie wissen
Sie möchten wissen, ob Ihre alten Switch-Spiele noch mit der neuen Switch 2 kompatibel sind? Hier finden Sie die Antwort!
https://www…

Universal Fourier Neural Operators for Micromechanics
Binh Huy Nguyen, Matti Schneider
https://arxiv.org/abs/2507.12233 https://arxiv…

Universal Fourier Neural Operators for Micromechanics
\noindent Solving cell problems in homogenization is hard, and available deep-learning frameworks fail to match the speed and generality of traditional computational frameworks. More to the point, it is generally unclear what to expect of machine-learning approaches, let alone single out which approaches are promising. In the work at hand, we advocate Fourier Neural Operators (FNOs) for micromechanics, empowering them by insights from computational micromechanics methods based on the fast Fouri…

The Nineteenth Data Release of the Sloan Digital Sky Survey
SDSS Collaboration, Gautham Adamane Pallathadka, Mojgan Aghakhanloo, James Aird, Andr\'es Almeida, Singh Amrita, Friedrich Anders, Scott F. Anderson, Stefan Arseneau, Consuelo Gonz\'alez Avila, Shir Aviram, Catarina Aydar, Carles Badenes, Jorge K. Barrera-Ballesteros, Franz E. Bauer, Aida Behmard, Michelle Berg, F. Besser, Christian Moni Bidin, Dmitry Bizyaev, Guillermo Blanc, Michael R. Blanton, Jo Bovy, William Niels…

The Nineteenth Data Release of the Sloan Digital Sky Survey
Mapping the local and distant Universe is key to our understanding of it. For decades, the Sloan Digital Sky Survey (SDSS) has made a concerted effort to map millions of celestial objects to constrain the physical processes that govern our Universe. The most recent and fifth generation of SDSS (SDSS-V) is organized into three scientific ``mappers". Milky Way Mapper (MWM) that aims to chart the various components of the Milky Way and constrain its formation and assembly, Black Hole Mapper (BHM),…