Finding Dino: A Plug-and-Play Framework for Zero-Shot Detection of Out-of-Distribution Objects Using Prototypes

Authors

Franziska Schwaiger
Poulami Sinhamahapatra (ORCID: https://orcid.org/0000-0002-3873-9623)
Karsten Roscher (ORCID: https://orcid.org/0000-0002-9458-104X)
Stephan Günnemann
Huiyu Wang (ORCID: https://orcid.org/0000-0002-6622-3579)
Shirsha Bose

Institutions

Fraunhofer Institute for Cognitive Systems (DE)
Technical University of Munich (DE)

Publication Details

Published: 2025-02-26
DOI: https://doi.org/10.1109/wacv61041.2025.00821
Citations: 1
Primary Topic: Advanced Neural Network Applications
Type: article
Field-Weighted Citation Impact: 1.28

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article

Finding Dino: A Plug-and-Play Framework for Zero-Shot Detection of Out-of-Distribution Objects Using Prototypes

Franziska Schwaiger, Poulami Sinhamahapatra, Karsten Roscher, Stephan Günnemann et al.

Feb 26, 2025

1 citations

Advanced Neural Network Applications

1.28

article

Finding Dino: A Plug-and-Play Framework for Zero-Shot Detection of Out-of-Distribution Objects Using Prototypes

Franziska Schwaiger, Poulami Sinhamahapatra, Karsten Roscher, Stephan Günnemann, Huiyu Wang, Shirsha Bose

February 26, 2025article en

1 citations

Abstract

No abstract available for this paper.

Fraunhofer Institute for Cognitive Systems (DE), Technical University of Munich (DE)

Openalex Percentile: Top 22%

Advanced Neural Network Applications

1.28

DOI Source OpenAlex

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Finding Dino: A Plug-and-Play Framework for Zero-Shot Detection of Out-of-Distribution Objects Using Prototypes — Franziska Schwaiger, Poulami Sinhamahapatra, et al. · (2025) | TGRS Research Map | TGRS