Parameter-efficient fine-tuning (LoRA family)
CLIP-Adapter
CLIP-Adapter: Better Vision-Language Models with Feature Adapters
Superseded baseline#59 of 1,113 most-superseded · first seen Oct 9, 2021
Superseded — cited as a baseline and beaten by newer methods
0 papers critique it · 3 beat it on benchmarks
Beaten on benchmarks
Head-to-head results where a newer method reports beating CLIP-Adapter. Values are copied from the source paper's tables — verify against the cited paper.
A-CLIP beats CLIP-Adapter
58.67 vs 44.43
ID Model Performance · [FMoW-ID]
Quantified Task Misalignment to Inform PEFT: An Exploration of Domain Generalization and Catastrophic Forgetting in CLIPACE-LoRA beats CLIP-Adapter
73.35 vs 60.38
Accuracy · [Zero-shot classification (Radiology)]
ACE-LoRA: Graph-Attentive Context Enhancement for Parameter-Efficient Adaptation of Medical Vision-Language Models
What to use instead
Recent methods in the same sub-problem, not yet superseded in the knowledge base — arXiv benchmark leaders, not vetted production recommendations.