Image Classification on Stanford Cars (Top-1/Top-5 Accuracy)
92.9Top-1 AccuracyBiMamba
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| BiMambaScale=Tiny, Params (M)=7.72026.05 | 92.9 | — | |
| BiMambaScale=Base, Params (M)=89.92026.05 | 92.5 | — | |
| BiLSTMScale=Tiny, Params (M)=7.72026.05 | 92.3 | — | |
| BiLSTMScale=Base, Params (M)=83.22026.05 | 92.3 | — | |
| BiMambaScale=Small, Params (M)=26.92026.05 | 92.1 | — | |
| BiLSTMScale=Small, Params (M)=23.92026.05 | 92.1 | — | |
| AttnScale=Base, Params (M)=86.52026.05 | 92.1 | — | |
| AttnScale=Small, Params (M)=22.92026.05 | 91.7 | — | |
| AttnScale=Tiny, Params (M)=5.72026.05 | 90.5 | — | |
| JACTUSBackbone=ViT-Large, Budget=80%2026.05 | 87.8 | — | |
| JACTUSBackbone=ViT-Large, Budget=60%2026.05 | 86.9 | — | |
| PiSSABackbone=ViT-Large, Budget=100%2026.05 | 86.7 | — | |
| SVFTBackbone=ViT-Large, Budget=100%2026.05 | 84.9 | — | |
| JACTUSBackbone=ViT-Base, Budget=80%2026.05 | 84.7 | — | |
| DoRABackbone=ViT-Large, Budget=100%2026.05 | 84.2 | — | |
| LoRABackbone=ViT-Large, Budget=100%2026.05 | 83.3 | — | |
| SVD-LLM+LoRABackbone=ViT-Large, Budget=80%2026.05 | 82.6 | — | |
| DoRABackbone=ViT-Base, Budget=100%2026.05 | 81.8 | — | |
| SVD-LLM+LoRABackbone=ViT-Large, Budget=60%2026.05 | 81.3 | — | |
| PiSSABackbone=ViT-Base, Budget=100%2026.05 | 79.1 | — | |
| JACTUSBackbone=ViT-Base, Budget=60%2026.05 | 78.9 | — | |
| Fine-tuned (STL)Backbone=CLIP-ViT-B/32, Bit-width=Full-precision, Training=Single-task learning2026.05 | 78.3 | — | |
| JACTUSBackbone=ViT-Large, Budget=40%2026.05 | 77.7 | — | |
| SVFTBackbone=ViT-Base, Budget=100%2026.05 | 77.5 | — | |
| LoRABackbone=ViT-Base, Budget=100%2026.05 | 77.1 | — | |
| SVD-LLM+LoRABackbone=ViT-Base, Budget=80%2026.05 | 76.8 | — | |
| SVD-LLM+LoRABackbone=ViT-Large, Budget=40%2026.05 | 72.5 | — | |
| WUDI-MergingBackbone=CLIP-ViT-B/32, Merging Strategy=WUDI-Merging, Bit-width=Full-precision2026.05 | 72.5 | — | |
| SVD-LLM+LoRABackbone=ViT-Base, Budget=60%2026.05 | 71.5 | — | |
| WUDI-Merging w/ GPTQBackbone=CLIP-ViT-B/32, Merging Strategy=WUDI-Merging, Quantization Algorithm=GPTQ, Bit-width=4-bit2026.05 | 68.9 | — | |
| WUDI-Merging w/ E-PMQBackbone=CLIP-ViT-B/32, Merging Strategy=WUDI-Merging, Quantization Algorithm=E-PMQ, Bit-width=4-bit2026.05 | 68.9 | — | |
| Simple Averaging w/ E-PMQBackbone=CLIP-ViT-B/32, Merging Strategy=Simple Averaging, Quantization Algorithm=E-PMQ, Bit-width=4-bit2026.05 | 67.8 | — | |
| JACTUSBackbone=ViT-Base, Budget=40%2026.05 | 67 | — | |
| TIES-Merging w/ E-PMQBackbone=CLIP-ViT-B/32, Merging Strategy=TIES-Merging, Quantization Algorithm=E-PMQ, Bit-width=4-bit, Lambda=0.32026.05 | 66.7 | — | |
| WUDI-Merging w/ E-PMQMerging Strategy=WUDI-Merging, Quantization Method=E-PMQ, Model Backbone=CLIP-ViT-B/32, Bit-width=4-bit2026.05 | 65.63 | — | |
| WUDI-MergingMerging Strategy=WUDI-Merging, Quantization Method=None, Model Backbone=CLIP-ViT-B/32, Bit-width=Full2026.05 | 64.8 | — | |
| Task Arithmetic w/ E-PMQBackbone=CLIP-ViT-B/32, Merging Strategy=Task Arithmetic, Quantization Algorithm=E-PMQ, Bit-width=4-bit, Lambda=0.32026.05 | 64.4 | — | |
| TIES-MergingBackbone=CLIP-ViT-B/32, Merging Strategy=TIES-Merging, Bit-width=Full-precision, Lambda=0.32026.05 | 64.2 | — | |
| Simple Averaging w/ E-PMQMerging Strategy=Simple Averaging, Quantization Method=E-PMQ, Model Backbone=CLIP-ViT-B/32, Bit-width=4-bit2026.05 | 63.95 | — | |
| WUDI-Merging w/ RTNBackbone=CLIP-ViT-B/32, Merging Strategy=WUDI-Merging, Quantization Algorithm=RTN, Bit-width=4-bit2026.05 | 63.8 | — | |
| WUDI-Merging w/ AWQBackbone=CLIP-ViT-B/32, Merging Strategy=WUDI-Merging, Quantization Algorithm=AWQ, Bit-width=4-bit2026.05 | 63.8 | — | |
| TIES-Merging w/ E-PMQMerging Strategy=TIES-Merging, Quantization Method=E-PMQ, Model Backbone=CLIP-ViT-B/32, Bit-width=4-bit2026.05 | 63.26 | — | |
| WUDI-Merging w/ GPTQMerging Strategy=WUDI-Merging, Quantization Method=GPTQ, Model Backbone=CLIP-ViT-B/32, Bit-width=4-bit2026.05 | 62.77 | — | |
| Simple AveragingBackbone=CLIP-ViT-B/32, Merging Strategy=Simple Averaging, Bit-width=Full-precision2026.05 | 62.6 | — | |
| TIES-Merging w/ GPTQBackbone=CLIP-ViT-B/32, Merging Strategy=TIES-Merging, Quantization Algorithm=GPTQ, Bit-width=4-bit, Lambda=0.32026.05 | 61.1 | — | |
| Simple Averaging + E-PMQMerging Strategy=Simple Averaging, Quantization Method=E-PMQ, Bit-width=4-bit, Backbone=CLIP-ViT-B/322026.05 | 60.63 | — | |
| Simple AveragingMerging Strategy=Simple Averaging, Quantization Method=None, Model Backbone=CLIP-ViT-B/32, Bit-width=Full2026.05 | 60.4 | — | |
| WUDI-Merging w/ AWQMerging Strategy=WUDI-Merging, Quantization Method=AWQ, Model Backbone=CLIP-ViT-B/32, Bit-width=4-bit2026.05 | 60.09 | — | |
| Pre-trainedBackbone=CLIP-ViT-B/32, Bit-width=Full-precision2026.05 | 59.8 | — | |
| Simple AveragingMerging Strategy=Simple Averaging, Quantization Method=Full-precision, Bit-width=Full, Backbone=CLIP-ViT-B/322026.05 | 59.6 | — | |
| Simple Averaging w/ GPTQBackbone=CLIP-ViT-B/32, Merging Strategy=Simple Averaging, Quantization Algorithm=GPTQ, Bit-width=4-bit2026.05 | 59.5 | — | |
| TIES-Merging + E-PMQMerging Strategy=TIES-Merging, Quantization Method=E-PMQ, Bit-width=4-bit, Backbone=CLIP-ViT-B/322026.05 | 58.85 | — | |
| Task Arithmetic w/ E-PMQMerging Strategy=Task Arithmetic, Quantization Method=E-PMQ, Model Backbone=CLIP-ViT-B/32, Bit-width=4-bit2026.05 | 58.48 | — | |
| Simple Averaging w/ GPTQMerging Strategy=Simple Averaging, Quantization Method=GPTQ, Model Backbone=CLIP-ViT-B/32, Bit-width=4-bit2026.05 | 58.34 | — | |
| WUDI-Merging w/ RTNMerging Strategy=WUDI-Merging, Quantization Method=RTN, Model Backbone=CLIP-ViT-B/32, Bit-width=4-bit2026.05 | 57.8 | — | |
| WUDI-Merging + E-PMQMerging Strategy=WUDI-Merging, Quantization Method=E-PMQ, Bit-width=4-bit, Backbone=CLIP-ViT-B/322026.05 | 57.41 | — | |
| Simple Averaging + GPTQMerging Strategy=Simple Averaging, Quantization Method=GPTQ, Bit-width=4-bit, Backbone=CLIP-ViT-B/322026.05 | 57.07 | — | |
| Task ArithmeticBackbone=CLIP-ViT-B/32, Merging Strategy=Task Arithmetic, Bit-width=Full-precision, Lambda=0.32026.05 | 55.7 | — | |
| TIES-Merging w/ AWQBackbone=CLIP-ViT-B/32, Merging Strategy=TIES-Merging, Quantization Algorithm=AWQ, Bit-width=4-bit, Lambda=0.32026.05 | 55.4 | — | |
| TIES-Merging w/ RTNBackbone=CLIP-ViT-B/32, Merging Strategy=TIES-Merging, Quantization Algorithm=RTN, Bit-width=4-bit, Lambda=0.32026.05 | 55 | — | |
| Simple Averaging w/ RTNBackbone=CLIP-ViT-B/32, Merging Strategy=Simple Averaging, Quantization Algorithm=RTN, Bit-width=4-bit2026.05 | 54.7 | — | |
| TIES-MergingMerging Strategy=TIES-Merging, Quantization Method=None, Model Backbone=CLIP-ViT-B/32, Bit-width=Full2026.05 | 54.6 | — | |
| SVD-LLM+LoRABackbone=ViT-Base, Budget=40%2026.05 | 54.5 | — | |
| Simple Averaging w/ RTNMerging Strategy=Simple Averaging, Quantization Method=RTN, Model Backbone=CLIP-ViT-B/32, Bit-width=4-bit2026.05 | 53.75 | — | |
| Task Arithmetic w/ GPTQBackbone=CLIP-ViT-B/32, Merging Strategy=Task Arithmetic, Quantization Algorithm=GPTQ, Bit-width=4-bit, Lambda=0.32026.05 | 53.5 | — | |
| TIES-Merging w/ GPTQMerging Strategy=TIES-Merging, Quantization Method=GPTQ, Model Backbone=CLIP-ViT-B/32, Bit-width=4-bit2026.05 | 53.17 | — | |
| Simple Averaging + RTNMerging Strategy=Simple Averaging, Quantization Method=RTN, Bit-width=4-bit, Backbone=CLIP-ViT-B/322026.05 | 53.12 | — | |
| Task Arithmetic + E-PMQMerging Strategy=Task Arithmetic, Quantization Method=E-PMQ, Bit-width=4-bit, Backbone=CLIP-ViT-B/322026.05 | 52.39 | — | |
| Simple Averaging w/ AWQBackbone=CLIP-ViT-B/32, Merging Strategy=Simple Averaging, Quantization Algorithm=AWQ, Bit-width=4-bit2026.05 | 51.7 | — | |
| Simple Averaging w/ AWQMerging Strategy=Simple Averaging, Quantization Method=AWQ, Model Backbone=CLIP-ViT-B/32, Bit-width=4-bit2026.05 | 51 | — | |
| Simple Averaging + AWQMerging Strategy=Simple Averaging, Quantization Method=AWQ, Bit-width=4-bit, Backbone=CLIP-ViT-B/322026.05 | 50.58 | — | |
| TIES-Merging w/ AWQMerging Strategy=TIES-Merging, Quantization Method=AWQ, Model Backbone=CLIP-ViT-B/32, Bit-width=4-bit2026.05 | 48.09 | — | |
| Task Arithmetic w/ AWQBackbone=CLIP-ViT-B/32, Merging Strategy=Task Arithmetic, Quantization Algorithm=AWQ, Bit-width=4-bit, Lambda=0.32026.05 | 46.3 | — | |
| TIES-Merging w/ RTNMerging Strategy=TIES-Merging, Quantization Method=RTN, Model Backbone=CLIP-ViT-B/32, Bit-width=4-bit2026.05 | 45.94 | — | |
| Task Arithmetic w/ RTNBackbone=CLIP-ViT-B/32, Merging Strategy=Task Arithmetic, Quantization Algorithm=RTN, Bit-width=4-bit, Lambda=0.32026.05 | 45.7 | — | |
| WUDI-MergingMerging Strategy=WUDI-Merging, Quantization Method=Full-precision, Bit-width=Full, Backbone=CLIP-ViT-B/322026.05 | 44.8 | — | |
| WUDI-Merging + GPTQMerging Strategy=WUDI-Merging, Quantization Method=GPTQ, Bit-width=4-bit, Backbone=CLIP-ViT-B/322026.05 | 42.31 | — | |
| WUDI-Merging + AWQMerging Strategy=WUDI-Merging, Quantization Method=AWQ, Bit-width=4-bit, Backbone=CLIP-ViT-B/322026.05 | 37.56 | — | |
| WUDI-Merging + RTNMerging Strategy=WUDI-Merging, Quantization Method=RTN, Bit-width=4-bit, Backbone=CLIP-ViT-B/322026.05 | 37.5 | — | |
| TIES-MergingMerging Strategy=TIES-Merging, Quantization Method=Full-precision, Bit-width=Full, Backbone=CLIP-ViT-B/322026.05 | 36.2 | — | |
| TIES-Merging + GPTQMerging Strategy=TIES-Merging, Quantization Method=GPTQ, Bit-width=4-bit, Backbone=CLIP-ViT-B/322026.05 | 35.22 | — | |
| Task ArithmeticMerging Strategy=Task Arithmetic, Quantization Method=None, Model Backbone=CLIP-ViT-B/32, Bit-width=Full2026.05 | 33.2 | — | |
| TIES-Merging + AWQMerging Strategy=TIES-Merging, Quantization Method=AWQ, Bit-width=4-bit, Backbone=CLIP-ViT-B/322026.05 | 31.75 | — | |
| Task Arithmetic w/ GPTQMerging Strategy=Task Arithmetic, Quantization Method=GPTQ, Model Backbone=CLIP-ViT-B/32, Bit-width=4-bit2026.05 | 31.05 | — | |
| TIES-Merging + RTNMerging Strategy=TIES-Merging, Quantization Method=RTN, Bit-width=4-bit, Backbone=CLIP-ViT-B/322026.05 | 30.15 | — | |
| Task Arithmetic w/ AWQMerging Strategy=Task Arithmetic, Quantization Method=AWQ, Model Backbone=CLIP-ViT-B/32, Bit-width=4-bit2026.05 | 27.16 | — | |
| Task Arithmetic w/ RTNMerging Strategy=Task Arithmetic, Quantization Method=RTN, Model Backbone=CLIP-ViT-B/32, Bit-width=4-bit2026.05 | 24.9 | — | |
| Task ArithmeticMerging Strategy=Task Arithmetic, Quantization Method=Full-precision, Bit-width=Full, Backbone=CLIP-ViT-B/322026.05 | 12.2 | — | |
| Task Arithmetic + GPTQMerging Strategy=Task Arithmetic, Quantization Method=GPTQ, Bit-width=4-bit, Backbone=CLIP-ViT-B/322026.05 | 11.65 | — | |
| Task Arithmetic + AWQMerging Strategy=Task Arithmetic, Quantization Method=AWQ, Bit-width=4-bit, Backbone=CLIP-ViT-B/322026.05 | 9.66 | — | |
| Task Arithmetic + RTNMerging Strategy=Task Arithmetic, Quantization Method=RTN, Bit-width=4-bit, Backbone=CLIP-ViT-B/322026.05 | 8.57 | — | |
| ProxyNCALoss function=Proxy Neighborhood Component Analysis2026.03 | 6.48 | — | |
| CE+SILLoss function=Cross-Entropy + Silhouette2026.03 | 5.96 | 16.63 | |
| CE+SIL+SupCon2Loss function=Cross-Entropy + Silhouette + SupCon22026.03 | 5.85 | 15.91 | |
| SupCon2Loss function=Supervised Contrastive (two-view)2026.03 | 5.56 | 15.66 | |
| CELoss function=Cross-Entropy2026.03 | 4.91 | 15.05 | |
| SupConLoss function=Supervised Contrastive2026.03 | 4.84 | 15.78 | |
| CenterLoss function=Center Loss2026.03 | 3.87 | 13.84 |