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Natural Language Processing
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Prompt Engineering
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Stanford Cars
Prompt Engineering on Stanford Cars
Metric: Harmonic mean (higher is better)
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#
Model
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Harmonic mean
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Extra Data
Paper
Date
↕
Code
1
PromptKD
83.13
No
PromptKD: Unsupervised Prompt Distillation for V...
2024-03-05
Code
2
MMRL++
78.18
No
MMRL++: Parameter-Efficient and Interaction-Awar...
2025-05-15
Code
3
MMRL
78.06
No
MMRL: Multi-Modal Representation Learning for Vi...
2025-03-11
Code
4
DePT
77.79
No
DePT: Decoupled Prompt Tuning
2023-09-14
Code
5
ProMetaR
76.72
No
Prompt Learning via Meta-Regularization
2024-04-01
Code
6
PromptSRC
76.58
No
Self-regulating Prompts: Foundational Model Adap...
2023-07-13
Code
7
CoPrompt
75.66
No
Consistency-guided Prompt Learning for Vision-La...
2023-06-01
Code
8
HPT++
75.59
No
HPT++: Hierarchically Prompting Vision-Language ...
2024-08-27
Code
9
HPT
75.57
No
Learning Hierarchical Prompt with Structured Lin...
2023-12-11
Code
10
MetaPrompt
75.48
No
Learning Domain Invariant Prompt for Vision-Lang...
2022-12-08
Code
11
RPO
74.69
No
Read-only Prompt Optimization for Vision-Languag...
2023-08-29
Code
12
MaPLe
73.47
No
MaPLe: Multi-modal Prompt Learning
2022-10-06
Code
13
CoCoOp
72.01
No
Conditional Prompt Learning for Vision-Language ...
2022-03-10
Code
14
CLIP
68.65
No
Learning Transferable Visual Models From Natural...
2021-02-26
Code