BBSNet: An Intelligent Grading Method for Pork Freshness Based on Few-Shot Learning

Deep learning approaches for pork freshness grading typically require large datasets, which limits their practical application due to the high costs associated with data collection. To ad- dress this challenge, we propose BBSNet, a lightweight few-shot learning model designed for accurate freshness classification with a limited number of images. BBSNet incorpo- rates a batch channel normalization (BCN) layer to enhance feature distinguishability and employs BiFormer for optimized fine-grained...