Prompting-MammAlps: Fine-Grained Text-to-Video Retrieval for Camera-Trap Data

Jul 14, 2026

Researchers present Prompting-MammAlps, the first benchmark for text-to-video retrieval in camera-trap datasets, and introduce a novel method that combines spatiotemporal action localization with LLM-based structured text parsing. Their approach achieves a 34% F1-score on ecological queries, nearly doubling the performance of the best zero-shot video-language model, which scored 18%.

Why it matters: This work enables more accurate and interpretable retrieval of specific ecological events from large camera-trap video datasets, advancing automated wildlife monitoring.

Full story at: arXiv Computer Vision ↗