| Hierarchical Side-Tuning for Vision Transformers | | 85.4 | HST-B ViT-B/16 (VTAB-1k) | 2023-10-09 |
| Sensitivity-Aware Visual Parameter-Efficient Fine-Tuning | ✓ Link | 84.4 | SPT-LoRA ViT-B/16 (VTAB-1k) | 2023-03-15 |
| Expanding Sparse Tuning for Low Memory Usage | | 84.4 | SNELL-16 ViT-B/16 (VTAB-1k) | 2024-11-04 |
| MLAE: Masked LoRA Experts for Visual Parameter-Efficient Fine-Tuning | | 84.3 | MLAE ViT-B/16 (VTAB-1k) | 2024-05-29 |
| Revisiting the Parameter Efficiency of Adapters from the Perspective of Precision Redundancy | ✓ Link | 83.9 | Bi-AdaptFormer ViT-B/16 (VTAB-1k) | 2023-07-31 |
| Adapters Strike Back | ✓ Link | 83.4 | Adapter+ ViT-B/16 (VTAB-1k) | 2024-06-10 |
| Efficient Adaptation of Large Vision Transformer via Adapter Re-Composing | | 83.3 | ARC* ViT-B/16 (VTAB-1k) | 2023-10-10 |
| One-for-All: Generalized LoRA for Parameter-Efficient Fine-tuning | ✓ Link | 83.1 | GLoRA ViT-B/16 (VTAB-1k) | 2023-06-13 |
| Neural Prompt Search | ✓ Link | 82.8 | NOAH ViT-B/16 (VTAB-1k) | 2022-06-09 |
| DTL: Disentangled Transfer Learning for Visual Recognition | | 82.8 | DTL ViT-B/16 (VTAB-1k) | 2023-12-13 |
| FacT: Factor-Tuning for Lightweight Adaptation on Vision Transformer | | 82.6 | FacT-TK ViT-B/16 (VTAB-1k) | 2022-12-06 |
| Convolutional Bypasses Are Better Vision Transformer Adapters | | 82.3 | Convpass ViT-B/16 (VTAB-1k) | 2022-07-14 |
| Towards Efficient Visual Adaption via Structural Re-parameterization | | 82.3 | RepAdapter ViT-B/16 (VTAB-1k) | 2023-02-16 |
| Low-rank Attention Side-Tuning for Parameter-Efficient Fine-Tuning | | 81.9 | LAST ViT-B/16 (VTAB-1k) | 2024-02-06 |
| Dynamic Tuning Towards Parameter and Inference Efficiency for ViT Adaptation | ✓ Link | 81.6 | DyT ViT-B/16 (VTAB-1k) | 2024-03-18 |
| SCT: A Simple Baseline for Parameter-Efficient Fine-Tuning via Salient Channels | ✓ Link | 81.5 | SCT ViT-B/16 (VTAB-1k) | 2023-09-15 |
| Consolidator: Mergeable Adapter with Grouped Connections for Visual Adaptation | | 81.2 | Consolidator ViT-B/16 (VTAB-1k) | 2023-04-30 |
| Res-Tuning: A Flexible and Efficient Tuning Paradigm via Unbinding Tuner from Backbone | | 80.2 | Res-Tuning ViT-B/16 (VTAB-1k) | 2023-10-30 |
| Gradient-based Parameter Selection for Efficient Fine-Tuning | ✓ Link | 79.9 | GPS ViT-B/16 (VTAB-1k) | 2023-12-15 |
| Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning | ✓ Link | 75.9 | SSF ViT-B/16 (VTAB-1k) | 2022-10-17 |
| Visual Fourier Prompt Tuning | | 75.8 | VFPT ViT-B/16 (VTAB-1k) | 2024-11-02 |
| MoSA: Mixture of Sparse Adapters for Visual Efficient Tuning | ✓ Link | 71.5 | MoSA ViT-B/16 (VTAB-1k) | 2023-12-05 |
| Visual Prompt Tuning | ✓ Link | 68.5 | VPT-Deep ViT-B/16 (VTAB-1k) | 2022-03-23 |