Uncertainty-Aware Evaluation of Deep Learning Object Detectors under Scarce and Evolving Test Datasets

Anzaku, Esla Timothy; Mohammed, Mohammed Aliy; Magez, Stefan; Van Hoecke, Sofie; Van Messem, Arnout; De Neve, Wesley

Poster (Scientific congresses and symposiums)

Anzaku, Esla Timothy; Mohammed, Mohammed Aliy; Magez, Stefan et al.

2025 • 28th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2025) - MIRASOL workshop

Peer reviewed

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https://hdl.handle.net/2268/340620

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Details

Disciplines :

Computer science

Author, co-author :

Anzaku, Esla Timothy

Mohammed, Mohammed Aliy

Magez, Stefan

Van Hoecke, Sofie

Van Messem, Arnout ; Université de Liège - ULiège > Mathematics

De Neve, Wesley

Language :

English

Title :

Uncertainty-Aware Evaluation of Deep Learning Object Detectors under Scarce and Evolving Test Datasets

Publication date :

September 2025

Event name :

28th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2025) - MIRASOL workshop

Event place :

Daejun, South Korea

Event date :

Sep 23-27

Audience :

International

Peer review/Selection committee :

Peer reviewed

Available on ORBi :

since 30 January 2026

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