Youssef Natij

Backbone diversity beats text supervision: a systematic study of frozen multi-foundation model fusion for in-the-wild plant disease recognition

Automated plant disease recognition from field photographs remains challenging: models trained on laboratory datasets collapse on in-the-wild images, and the current state of the art on PlantWild—the largest open in-the-wild benchmark (18,542 images, 89 classes)—relies on text prototypes derived from a language model t...