Multi-Scale Feature Combination and Spatial Alignment for Fine-Grained Few-Shot Image Classification
Abstract
This experiment proposes an FGFSIC model that utilizes multi-scale feature combination to enhance discriminative power in the few-shot learning setting. Specifically, semantic information is used to augment visual features, and spatial alignment is introduced to reduce pose-related variability.
Fields of Study & Subjects
Domain Adaptation and Few-Shot Learning
Advanced Neural Network Applications
Advanced Image and Video Retrieval Techniques
Publication details
- Journal / source
- Figshare
- Publication date
- 1 January 2026
- Language
- EN