Retrieval Geometry Shapes Cache-Based Clip Adaptation

arXiv:2609.23409 · cs.CV · Submitted 2026-09-20 · Read on arXiv

cs.CV

Submitted: 2026-09-20

Updated: 2026-09-25

Terminology

• Adaptation — 58× in this paper · explained in 1 episode
• Accuracy — 37× in this paper · explained in 1 episode
• Regret — 24× in this paper · explained in 3 episodes
• Calibration — 21× in this paper · explained in 7 episodes
• Benchmark — 14× in this paper · explained in 2 episodes
• Pseudo-labels — 14× in this paper · explained in 2 episodes
• Robustness — 8× in this paper · explained in 5 episodes
• Conference on Computer Vision and Pattern Recognition — 7× in this paper
• Transformer — 7× in this paper · explained in 2 episodes
• Ablation — 4× in this paper · explained in 1 episode
• Distribution Shift — 4× in this paper · explained in 5 episodes
• Distillation — 3× in this paper · explained in 2 episodes
• In International Conference on Learning Representations — 3× in this paper
• Self-distillation — 3× in this paper · explained in 6 episodes
• Aggregation — 2× in this paper · explained in 1 episode
• Consistency — 2× in this paper · explained in 3 episodes
• Foundation Model — 2× in this paper · explained in 3 episodes
• Frozen model — 2× in this paper · explained in 3 episodes
• Generalization — 2× in this paper · explained in 13 episodes
• Memory-Augmented Retrieval for CLIP — 2× in this paper
• Transformer Architecture — 2× in this paper · explained in 2 episodes
• Agentic AI — 1× in this paper · explained in 1 episode
• Clustering — 1× in this paper · explained in 2 episodes
• Contrastive Language-Image Pre-training — 1× in this paper
• Core — 1× in this paper · explained in 2 episodes
• Cosine Similarity — 1× in this paper · explained in 3 episodes
• Data Augmentation — 1× in this paper · explained in 7 episodes
• Decoupling — 1× in this paper · explained in 2 episodes
• Domain Adaptation — 1× in this paper · explained in 5 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• Failure Modes — 1× in this paper · explained in 3 episodes
• Large Language Model (LLM) — 1× in this paper · explained in 3 episodes
• Linear Probing — 1× in this paper · explained in 2 episodes
• Non-stationarity — 1× in this paper · explained in 2 episodes
• Perplexity — 1× in this paper · explained in 3 episodes
• Scaling Laws — 1× in this paper · explained in 4 episodes
• Test-time Adaptation (TTA) — 1× in this paper · explained in 3 episodes
• Zero-Shot Generalization — 1× in this paper · explained in 5 episodes

Sources

• BaFTA: Backprop-Free Test-Time Adaptation For Zero-Shot Vision-Language Models
• DINOv2: Learning Robust Visual Features without Supervision
• DINOv3
• UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild
• EVA-CLIP: Improved Training Techniques for CLIP at Scale

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