Remote Sensing Classification on RS 15 Chunks
67.45APStrLoRA
Evaluation results
| Method | Links | ||
|---|---|---|---|
| StrLoRABase Model=InternVL3.5-8B-Pretrained2026.05 | 67.45 | 0.93 | |
| StrLoRABase Model=InternVL3.5-4B-Pretrained2026.05 | 66.29 | 2.56 | |
| EWCBase Model=InternVL3.5-4B-Pretrained2026.05 | 66.21 | 2.32 | |
| MoELoRABase Model=InternVL3.5-8B-Pretrained2026.05 | 65.83 | 2.2 | |
| EWCBase Model=InternVL3.5-8B-Pretrained2026.05 | 65.67 | 1.08 | |
| LoRABase Model=InternVL3.5-8B-Pretrained2026.05 | 65.66 | 1.66 | |
| MoELoRABase Model=InternVL3.5-4B-Pretrained2026.05 | 65.56 | 2.89 | |
| ReplayBase Model=InternVL3.5-4B-Pretrained2026.05 | 65.05 | 4.69 | |
| ReplayBase Model=InternVL3.5-8B-Pretrained2026.05 | 64.38 | 2.8 | |
| LoRABase Model=InternVL3.5-4B-Pretrained2026.05 | 63.64 | 4.77 | |
| SMoLoRABase Model=InternVL3.5-4B-Pretrained2026.05 | 60.33 | 7.17 | |
| SMoLoRABase Model=InternVL3.5-8B-Pretrained2026.05 | 60.25 | 3.08 | |
| StrLoRABase Model=Gemma3-4B-PT2026.05 | 58.11 | 4.87 | |
| EWCBase Model=Gemma3-4B-PT2026.05 | 55.75 | 6.34 | |
| LoRABase Model=Gemma3-4B-PT2026.05 | 55.55 | 6.44 | |
| ReplayBase Model=Gemma3-4B-PT2026.05 | 55.44 | 7.94 | |
| SMoLoRABase Model=Gemma3-4B-PT2026.05 | 55.05 | 6.49 | |
| MoELoRABase Model=Gemma3-4B-PT2026.05 | 54.81 | 7.05 |