A new diagnostic framework using inpainted context ratios and laterality checks on a Pantanal jaguar benchmark reveals whether re-ID models depend on coat patterns or spurious background evidence.
Multispecies animal re-id using a large community-curated dataset
3 Pith papers cite this work. Polarity classification is still indexing.
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Spotted fuses visual similarity with spatio-temporal feasibility scores to boost top-5 ReID accuracy by up to 9 percentage points and reduce expert queries by 69% on hyena and leopard camera trap datasets.
ID-Sim is a new similarity metric that aims to capture human selective sensitivity to identities by training on curated real and generative synthetic data and validating against human annotations on recognition, retrieval, and generative tasks.
citing papers explorer
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Are We Recognizing the Jaguar or Its Background? A Diagnostic Framework for Jaguar Re-Identification
A new diagnostic framework using inpainted context ratios and laterality checks on a Pantanal jaguar benchmark reveals whether re-ID models depend on coat patterns or spurious background evidence.
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Spotted: Location-informed Reidentification of Hyenas and Leopards in Camera Trap Surveys
Spotted fuses visual similarity with spatio-temporal feasibility scores to boost top-5 ReID accuracy by up to 9 percentage points and reduce expert queries by 69% on hyena and leopard camera trap datasets.
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ID-Sim: An Identity-Focused Similarity Metric
ID-Sim is a new similarity metric that aims to capture human selective sensitivity to identities by training on curated real and generative synthetic data and validating against human annotations on recognition, retrieval, and generative tasks.