WildFusion: Individual Animal Identification with Calibrated Similarity Fusion

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F25%3A00388598" target="_blank" >RIV/68407700:21230/25:00388598 - isvavai.cz</a>
Alternative codes found
RIV/49777513:23220/25:43973167 RIV/49777513:23520/25:43973167
Result on the web
<a href="https://doi.org/10.1007/978-3-031-92387-6_2" target="_blank" >https://doi.org/10.1007/978-3-031-92387-6_2</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-031-92387-6_2" target="_blank" >10.1007/978-3-031-92387-6_2</a>

Result language
angličtina
Original language name
WildFusion: Individual Animal Identification with Calibrated Similarity Fusion
Original language description
We propose a new method – WildFusion – for individual identification of a broad range of animal species. The method fuses deep scores (e.g., MegaDescriptor or DINOv2) and local matching similarity (e.g., LoFTR and LightGlue) to identify individual animals. The global and local information fusion is facilitated by similarity score calibration. In a zero-shot setting, relying on local similarity score only, WildFusion achieved mean accuracy, measured on 17 datasets, of 76.2%. This is better than the state-of-the-art model, MegaDescriptor-L, whose training set included 15 of the 17 datasets. If a dataset-specific calibration is applied, mean accuracy increases by 2.3% points. WildFusion, with both local and global similarity scores, outperforms the state-of-the-art significantly – mean accuracy reached 84.0%, an increase of 8.5% points; the mean relative error drops by 35%. We make the code and pre-trained models publicly available, enabling immediate use in ecology and conservation (https://github.com/WildlifeDatasets/wildlife-tools).
Czech name
—
Czech description
—

Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

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)

Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Similar results(10)