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cs.CV2026
What Does Animal Re-Identification Learn? Linear Biological Concepts and Their Origins in Visual Representations
Robert Nolting, Alexandra Schild, Moritz Weckbecker +2
Conservation increasingly relies on camera traps that collect more wildlife imagery than experts can manually analyze, making animal re-identification (Re-ID) essential for monitor…
cs.CV2026
TaxonRL: Reinforcement Learning with Intermediate Rewards for Interpretable Fine-Grained Visual Reasoning
Maximilian von Klinski, Maximilian Schall
Traditional vision-language models struggle with contrastive fine-grained taxonomic reasoning, particularly when distinguishing between visually similar species within the same gen…
cs.CV2025
GorillaWatch: An Automated System for In-the-Wild Gorilla Re-Identification and Population Monitoring
Maximilian Schall, Felix Leonard Knöfel, Noah Elias König +11
Monitoring critically endangered western lowland gorillas is currently hampered by the immense manual effort required to re-identify individuals from vast archives of camera trap f…