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cs.CV2026
Training-Only Heterogeneous Image-Patch-Text Graph Supervision for Advancing Few-Shot Learning Adapters
Mohammed Rahman Sherif Khan Mohammad, Ardhendu Behera, Sandip Pradhan +2
Recent adapter-based CLIP tuning (e.g., Tip-Adapter) is a strong few-shot learner, achieving efficiency by caching support features for fast prototype matching. However, these meth…
cs.CV2025
Advancing Cache-Based Few-Shot Classification via Patch-Driven Relational Gated Graph Attention
Tasweer Ahmad, Arindam Sikdar, Sandip Pradhan +1
Few-shot image classification remains difficult under limited supervision and visual domain shift. Recent cache-based adaptation approaches (e.g., Tip-Adapter) address this challen…