OpenCodePapers

prompt-engineering-on-imagenet

Transfer LearningPrompt Engineering
Dataset Link
Results over time
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Leaderboard
PaperCodeHarmonic meanModelNameReleaseDate
Causality-guided Prompt Learning for Vision-language Models via Visual Granulation77.80CaPL2025-09-04
MERGETUNE: Continued Fine-Tuning of Vision-Language Models✓ Link77.77PromptKD + MergeTune2026-01-15
PromptKD: Unsupervised Prompt Distillation for Vision-Language Models✓ Link77.62PromptKD2024-03-05
Beyond Sole Strength: Customized Ensembles for Generalized Vision-Language Models✓ Link75.49Customized Ensemble2023-11-28
GLAD: Generalizable Tuning for Vision-Language Models75.04GLAD2025-07-17
DeAR: Fine-Grained VLM Adaptation by Decomposing Attention Head Roles✓ Link74.83DeAR2026-03-01
SpecPL: Disentangling Spectral Granularity for Prompt Learning✓ Link74.63MMRL + SpecPL2026-05-06
Fourier-Attentive Representation Learning: A Fourier-Guided Framework for Few-Shot Generalization in Vision-Language Models74.53FARL2025-12-04
RMAdapter: Reconstruction-based Multi-Modal Adapter for Vision-Language Models74.52RMAdapter2025-12-07
MMRL: Multi-Modal Representation Learning for Vision-Language Models✓ Link74.45MMRL2025-03-11
MMRL++: Parameter-Efficient and Interaction-Aware Representation Learning for Vision-Language Models✓ Link74.44MMRL++2025-05-15
HeBA: Heterogeneous Bottleneck Adapters for Robust Vision-Language Models✓ Link74.41HeBA2026-03-17
Robust Prompt Tuning for Vision-Language Models with Mild Semantic Noise74.35ANPrompt2025-08-06
Consistency-guided Prompt Learning for Vision-Language Models✓ Link74.33CoPrompt2023-06-01
HPT++: Hierarchically Prompting Vision-Language Models with Multi-Granularity Knowledge Generation and Improved Structure Modeling✓ Link74.24HPT++2024-08-27
Learning Hierarchical Prompt with Structured Linguistic Knowledge for Vision-Language Models✓ Link74.17HPT2023-12-11
AttriPrompt: Dynamic Prompt Composition Learning for CLIP74.17AttriPrompt2025-09-07
Prompt Learning via Meta-Regularization✓ Link74.09ProMetaR2024-04-01
Learning Domain Invariant Prompt for Vision-Language Models✓ Link74.02MetaPrompt2022-12-08
DePT: Decoupled Prompt Tuning✓ Link74.02DePT2023-09-14
Self-regulating Prompts: Foundational Model Adaptation without Forgetting✓ Link74.01PromptSRC2023-07-13
Joint Semantic Token Selection and Prompt Optimization for Interpretable Prompt Learning74.01PromptSRC + IPL2026-05-06
Read-only Prompt Optimization for Vision-Language Few-shot Learning✓ Link74.00RPO2023-08-29
MERGETUNE: Continued Fine-Tuning of Vision-Language Models✓ Link74.00MMA + MergeTune2026-01-15
One Last Attention for Your Vision-Language Model✓ Link73.89RAda + Adapter2025-07-21
Joint Semantic Token Selection and Prompt Optimization for Interpretable Prompt Learning73.48MaPLe + IPL2026-05-06
ProCAP: Probabilistic Cross-Attentive Prompt Learning for Vision-Language Models✓ Link73.48ProCAP2026-09-24
MaPLe: Multi-modal Prompt Learning✓ Link73.47MaPLe2022-10-06
Gram-Anchored Prompt Learning for Vision-Language Models via Second-Order Statistics73.40GAPL2026-04-05
SpecPL: Disentangling Spectral Granularity for Prompt Learning✓ Link73.34CoOp + SpecPL2026-05-06
Conditional Prompt Learning for Vision-Language Models✓ Link73.10CoCoOp2022-03-10
Joint Semantic Token Selection and Prompt Optimization for Interpretable Prompt Learning73.10CoCoOp + IPL2026-05-06
Joint Semantic Token Selection and Prompt Optimization for Interpretable Prompt Learning73.02KgCoOp + IPL2026-05-06
SpecPL: Disentangling Spectral Granularity for Prompt Learning✓ Link72.97MaPLe + SpecPL2026-05-06
MERGETUNE: Continued Fine-Tuning of Vision-Language Models✓ Link72.81CoOp + MergeTune2026-01-15
MERGETUNE: Continued Fine-Tuning of Vision-Language Models✓ Link72.75KgCoOp + MergeTune2026-01-15
SpecPL: Disentangling Spectral Granularity for Prompt Learning✓ Link72.52CoCoOp + SpecPL2026-05-06
One Last Attention for Your Vision-Language Model✓ Link72.44RAda + Prompt2025-07-21
One Last Attention for Your Vision-Language Model✓ Link71.78RAda2025-07-21
Joint Semantic Token Selection and Prompt Optimization for Interpretable Prompt Learning70.85CoOp + IPL2026-05-06
Learning Transferable Visual Models From Natural Language Supervision✓ Link70.22CLIP2021-02-26