all AI news
Multimodal Foundation Models for Zero-shot Animal Species Recognition in Camera Trap Images. (arXiv:2311.01064v1 [cs.CV])
cs.LG updates on arXiv.org arxiv.org
Due to deteriorating environmental conditions and increasing human activity,
conservation efforts directed towards wildlife is crucial. Motion-activated
camera traps constitute an efficient tool for tracking and monitoring wildlife
populations across the globe. Supervised learning techniques have been
successfully deployed to analyze such imagery, however training such techniques
requires annotations from experts. Reducing the reliance on costly labelled
data therefore has immense potential in developing large-scale wildlife
tracking solutions with markedly less human labor. In this work we propose
WildMatch, a …
analyze arxiv conservation environmental foundation human images monitoring multimodal recognition supervised learning tool tracking training wildlife