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The Tenth Workshop on Fine-Grained Visual Categorization

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F23%3A43971634" target="_blank" >RIV/49777513:23520/23:43971634 - isvavai.cz</a>

  • Result on the web

    <a href="https://sites.google.com/view/fgvc10/" target="_blank" >https://sites.google.com/view/fgvc10/</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    The Tenth Workshop on Fine-Grained Visual Categorization

  • Original language description

    Fine-grained categorization, the precise differentiation between similar plant or animal species, disease of the retina, architectural styles, etc., is an extremely challenging problem, pushing the limits of both human and machine ability. In these domains expert knowledge is typically required, and the question that must be addressed is how can we develop artificial systems that can efficiently discriminate between large numbers of highly similar visual concepts. The 10th Workshop on Fine-Grained Visual Categorization (FGVC10) will explore topics related to supervised learning, self-supervised learning, semi-supervised learning, 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 topics relevant for FGVC10 are neither restricted to vision nor categorization.

  • Czech name

  • Czech description

Classification

  • Type

    W - Workshop organization

  • CEP classification

  • OECD FORD branch

    20205 - Automation and control systems

Result continuities

  • Project

    <a href="/en/project/SS05010008" target="_blank" >SS05010008: Detection, identification and monitoring of animals by advanced computer vision methods.</a><br>

  • Continuities

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

Others

  • Publication year

    2023

  • Confidentiality

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

Data specific for result type

  • Event location

    Vancouver

  • Event country

    CA - CANADA

  • Event starting date

  • Event ending date

  • Total number of attendees

    100

  • Foreign attendee count

    99

  • Type of event by attendee nationality

    WRD - Celosvětová akce