ITR: Iterative Transductive Refinement with a Graph-Reliability Gate for Zero-Shot Agricultural CLIP Classification
Contrastive Language–Image Pre-training (CLIP) has become the dominant paradigm for zero-shot visual recognition, classifying images directly from textual class descriptions with no task-specific labelled data. This label-free ability is a natural fit for agricultural plant-disease and weed recognition, where expert an...