AMR-VMamba: Fine-Grained Image Classification with Adaptive Multi-Level Refinement and Multi-Query Discriminative Pooling
Fine-grained visual classification (FGVC) requires models to distinguish subtle inter-class differences while remaining robust to substantial intra-class variations in pose and background. Hierarchical visual backbones improve semantic abstraction but progressively compress local textures and part boundaries, while glo...