A calibrated fusion pipeline with segmentation, species-specific preprocessing, and graph clustering reached top public (0.721) and private (0.711) ARI scores on the AnimalCLEF26 open-set animal re-identification benchmark.
Szeliski, Computer Vision: Algorithms and Applications, Texts in Computer Science, 2 ed.
1 Pith paper cite this work, alongside 843 external citations. Polarity classification is still indexing.
1
Pith paper citing it
843
external citations · OpenAlex
fields
cs.CV 1years
2026 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Calibrated Similarity and Graph Clustering for Open-Set Animal Re-Identification
A calibrated fusion pipeline with segmentation, species-specific preprocessing, and graph clustering reached top public (0.721) and private (0.711) ARI scores on the AnimalCLEF26 open-set animal re-identification benchmark.