Vision-Language Navigation on R2R unseen v1.0 (val)
3,130SRBABY WALK
Evaluation results
| Method | Links | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| BABY WALK2020.05 | 3,130 | 9.4 | 6.8 | 2,830 | 4,990 | 4,950 | 2,590 | — | — | |
| BABYWALK +pre-trained with data augmentation=true2020.05 | 3,060 | 9.2 | 6.8 | 2,780 | 5,000 | 4,940 | 2,540 | — | — | |
| RCM(FIDELITY)+pre-trained with data augmentation=true2020.05 | 2,260 | 15.5 | 7.5 | 1,410 | 3,430 | 3,240 | 1,430 | — | — | |
| SF+pre-trained with data augmentation=true2020.05 | 2,190 | 19.4 | 7.1 | 1,160 | 2,620 | 3,080 | 1,330 | — | — | |
| RCM(GOAL)+pre-trained with data augmentation=true2020.05 | 1,960 | 8.1 | 7.6 | 1,720 | 4,320 | 3,970 | 1,530 | — | — | |
| SEQ2SEQ2020.05 | 1,930 | 14.5 | 7.7 | 1,330 | 3,210 | 3,190 | 1,310 | — | — | |
| ScaleVLNBackbone=Cross-Modal Transformer2026.03 | 81 | — | 2.09 | 70 | — | — | — | 14.09 | 88 | |
| Uncertainty-Aware Gaussian Map2026.05 | 78 | — | 2.12 | 66 | — | — | — | 14.79 | — | |
| 3DGS-VLN2026.05 | 77 | — | 2.43 | 66 | — | — | — | 14.83 | — | |
| VERReference=[91]2024.10 | 76 | — | 2.8 | 65 | — | — | — | 14.83 | — | |
| VER2026.05 | 76 | — | 2.8 | 65 | — | — | — | 14.83 | — | |
| BEVBertReference=[60]2024.10 | 75 | — | 2.81 | 64 | — | — | — | 14.55 | — | |
| BEVBertBackbone=Cross-Modal Transformer2026.03 | 75 | — | 2.81 | 64 | — | — | — | 14.55 | 84 | |
| GridMM2026.05 | 75 | — | 2.83 | 64 | — | — | — | 13.27 | — | |
| BEVBert2026.05 | 75 | — | 2.81 | 64 | — | — | — | 14.55 | — | |
| BSGReference=[61]2024.10 | 74 | — | 2.89 | 62 | — | — | — | 14.9 | — | |
| ENP-DUETBackbone=DUET2024.10 | 74 | — | 3 | 60 | — | — | — | 14.23 | — | |
| BSG2026.05 | 74 | — | 2.89 | 62 | — | — | — | 14.9 | — | |
| COSMO2026.05 | 73 | — | 3.15 | 61 | — | — | — | — | — | |
| DUETReference=[6]2024.10 | 72 | — | 3.31 | 60 | — | — | — | 13.94 | — | |
| DUETBackbone=Cross-Modal Transformer2026.03 | 72 | — | 3.31 | 60 | — | — | — | 13.94 | 81 | |
| DUET2026.05 | 72 | — | 3.31 | 60 | — | — | — | 13.94 | — | |
| DUETvariant=Imagine2026.05 | 72 | — | 3.19 | 60 | — | — | — | 14.35 | — | |
| TD-STPReference=[89]2024.10 | 70 | — | 3.22 | 63 | — | — | — | — | — | |
| LANAReference=[90]2024.10 | 68 | — | — | 62 | — | — | — | 12 | — | |
| LANA2026.05 | 68 | — | — | 62 | — | — | — | 12 | — | |
| HAMTReference=[5]2024.10 | 66 | — | 2.29 | 61 | — | — | — | 11.46 | — | |
| HAMTBackbone=Cross-Modal Transformer2026.03 | 66 | — | 2.29 | 61 | — | — | — | 11.46 | — | |
| HAMT2026.05 | 66 | — | 2.29 | 61 | — | — | — | 11.46 | — | |
| ENP-VLNOBERTBackbone=VLNOBERT2024.10 | 65 | — | 3.81 | 57 | — | — | — | 12.17 | — | |
| HOPReference=[88]2024.10 | 64 | — | 3.8 | 57 | — | — | — | 12.27 | — | |
| VLNOBERTReference=[4]2024.10 | 63 | — | 3.93 | 57 | — | — | — | 12.01 | — | |
| SSMReference=[38]2024.10 | 62 | — | 4.32 | 45 | — | — | — | 20.7 | — | |
| ActiveReference=[87]2024.10 | 58 | — | 4.36 | 40 | — | — | — | 20.6 | — | |
| AuxRNReference=[47]2024.10 | 55 | — | 5.28 | 50 | — | — | — | — | — | |
| ENP-EnvDropBackbone=EnvDrop2024.10 | 53 | — | 4.69 | 49 | — | — | — | 11.17 | — | |
| EnvDropReference=[3]2024.10 | 52 | — | 5.22 | 48 | — | — | — | 10.7 | — | |
| TagaVLMBackbone=Qwen2 (7B)2026.03 | 51.09 | — | 4.97 | 47.18 | — | — | — | 9.7 | 60.2 | |
| MapGPTBackbone=GPT-4V*2026.03 | 47.7 | — | 5.62 | 38.1 | — | — | — | — | 57.9 | |
| TagaVLMBackbone=Qwen2 (0.5B)2026.03 | 45.72 | — | 5.57 | 41.91 | — | — | — | 9.8 | 55.09 | |
| NavCoTBackbone=LLaMA2 (7B)2026.03 | 40.23 | — | 6.26 | 36.64 | — | — | — | 9.95 | 48.11 | |
| DiscussNavBackbone=GPT-4*2026.03 | 36.4 | — | 5.32 | 40 | — | — | — | 9.69 | 43 | |
| Speaker FollowerBackbone=LSTM2026.03 | 36 | — | 6.62 | — | — | — | — | — | 45 | |
| SFReference=[33]2024.10 | 35 | — | 6.62 | — | — | — | — | — | — | |
| NavGPTBackbone=GPT-4*2026.03 | 34 | — | 6.46 | 29 | — | — | — | 11.45 | 42 | |
| LangNavBackbone=LLaMA2 (7B)2026.03 | 34 | — | 7.1 | 29 | — | — | — | — | 45 | |
| Seq2SeqReference=[1]2024.10 | 22 | — | 7.81 | — | — | — | — | 8.39 | — | |
| Seq2SeqBackbone=LSTM2026.03 | 21 | — | 7.81 | — | — | — | — | 8.39 | 28 |