CVPR 2025 - FGVC12 Workshop

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F25%3A43978091" target="_blank" >RIV/49777513:23520/25:43978091 - isvavai.cz</a>

Výsledek na webu

<a href="https://sites.google.com/view/fgvc11/home" target="_blank" >https://sites.google.com/view/fgvc11/home</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

CVPR 2025 - FGVC12 Workshop

Popis výsledku v původním jazyce

The 12th Workshop on Fine-Grained Visual Categorization (FGVC12) will explore topics related to supervised learning, self-supervised learning, semi-supervised learning, vision and language, matching, localization, domain adaptation, transfer learning, few-shot learning, machine teaching, multimodal learning (e.g., audio and video), 3D-vision, crowd-sourcing, image captioning and generation, out-of-distribution detection, anomaly detection, open-set recognition, human-in-the-loop learning, and taxonomic prediction, all through the lens of fine-grained understanding. Hence, the relevant topics are neither restricted to vision nor categorization. Our workshop is structured around five main components: (i) Invited talks from world-renowned experts, (ii) interactive discussions during poster and panel sessions, (iii) novel fine-grained challenges that are hosted as part of the workshop, (iv) peer-reviewed paper submissions (proceedings &amp; non-archival), and (v) nectar track, i.e., the opportunity to present already published papers. We aim to stimulate debate and expose the wider computer vision community to new and challenging problems in areas that have the potential for large societal impact but do not traditionally receive a significant amount of exposure at other CVPR workshops.

Název v anglickém jazyce

CVPR 2025 - FGVC12 Workshop

Popis výsledku anglicky

The 12th Workshop on Fine-Grained Visual Categorization (FGVC12) will explore topics related to supervised learning, self-supervised learning, semi-supervised learning, vision and language, matching, localization, domain adaptation, transfer learning, few-shot learning, machine teaching, multimodal learning (e.g., audio and video), 3D-vision, crowd-sourcing, image captioning and generation, out-of-distribution detection, anomaly detection, open-set recognition, human-in-the-loop learning, and taxonomic prediction, all through the lens of fine-grained understanding. Hence, the relevant topics are neither restricted to vision nor categorization. Our workshop is structured around five main components: (i) Invited talks from world-renowned experts, (ii) interactive discussions during poster and panel sessions, (iii) novel fine-grained challenges that are hosted as part of the workshop, (iv) peer-reviewed paper submissions (proceedings &amp; non-archival), and (v) nectar track, i.e., the opportunity to present already published papers. We aim to stimulate debate and expose the wider computer vision community to new and challenging problems in areas that have the potential for large societal impact but do not traditionally receive a significant amount of exposure at other CVPR workshops.

Druh

W - Uspořádání workshopu

CEP obor

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OECD FORD obor

20205 - Automation and control systems

Projekt

<a href="/cs/project/SS73020004" target="_blank" >SS73020004: FunDive: Mapování a monitoring diverzity hub se zaměřením na druhovou ochranu</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2025

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Místo konání akce

Nashville

Stát konání akce

US - Spojené státy americké

Datum zahájení akce

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Datum ukončení akce

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Celkový počet účastníků

50

Počet zahraničních účastníků

47

Typ akce podle státní přísl. účastníků

WRD - Celosvětová akce