Metric: MRR (x 100) (higher is better)
| # | Model↕ | MRR (x 100)▼ | Extra Data | Paper | Date↕ | Code |
|---|---|---|---|---|---|---|
| 1 | MRR ensemble (Naive) | 71.24 | No | - | - | - |
| 2 | Ensemble FGA + BERT | 70.95 | No | - | - | - |
| 3 | Two-Step(refactor) | 70.41 | No | - | - | - |
| 4 | 2 Step: Factor Graph Attention + VD-Bert | 69.92 | No | Ensemble of MRR and NDCG models for Visual Dialog | 2021-04-15 | Code |
| 5 | 5xFGA (F-RCNNx101) | 69.3 | No | Factor Graph Attention | 2019-04-11 | Code |
| 6 | CAF | 68.16 | No | - | - | - |
| 7 | w/ VQA + CC, single model | 67.5 | No | - | - | - |
| 8 | test1 | 67.5 | No | - | - | - |
| 9 | sh101 | 67.49 | No | - | - | - |
| 10 | SCL_48 | 66.63 | No | - | - | - |
| 11 | Transformer+2cons | 66.53 | No | - | - | - |
| 12 | single model | 66.2 | No | - | - | - |
| 13 | Bert2constraints | 65.7 | No | - | - | - |
| 14 | single-model | 64.95 | No | - | - | - |
| 15 | MVAN | 64.84 | No | Multi-View Attention Network for Visual Dialog | 2020-04-29 | Code |
| 16 | jiuyigedian | 64.79 | No | - | - | - |
| 17 | CARE(Single Model) | 64.62 | No | - | - | - |
| 18 | gr | 64.58 | No | - | - | - |
| 19 | clean_wac_4freeze | 64.57 | No | - | - | - |
| 20 | disc | 64.43 | No | - | - | - |
| 21 | zxcdd | 64.31 | No | - | - | - |
| 22 | zuizhong | 64.3 | No | - | - | - |
| 23 | 1 | 64.25 | No | - | - | - |
| 24 | HACAN | 64.22 | No | Making History Matter: History-Advantage Sequenc... | 2019-02-25 | - |
| 25 | 211 | 64.14 | No | - | - | - |
| 26 | Bert(two-stream) | 63.92 | No | - | - | - |
| 27 | lijunlin_7 | 63.7 | No | - | - | - |
| 28 | CAG | 63.49 | No | Iterative Context-Aware Graph Inference for Visu... | 2020-04-05 | Code |
| 29 | lijunlin_9 | 63.31 | No | - | - | - |
| 30 | ERIC666 | 63.3 | No | - | - | - |
| 31 | DualVD | 63.23 | No | DualVD: An Adaptive Dual Encoding Model for Deep... | 2019-11-17 | Code |
| 32 | DAN | 63.2 | No | Dual Attention Networks for Visual Reference Res... | 2019-02-25 | Code |
| 33 | RVA | 63.03 | No | Recursive Visual Attention in Visual Dialog | 2018-12-06 | Code |
| 34 | kbgn_disc_5 | 62.68 | No | - | - | - |
| 35 | bert-double-stream-finetuning | 62.65 | No | - | - | - |
| 36 | lkh(single-model) | 62.65 | No | - | - | - |
| 37 | single-model | 62.56 | No | - | - | - |
| 38 | eightepoch | 62.24 | No | - | - | - |
| 39 | Synergistic | 62.2 | No | Image-Question-Answer Synergistic Network for Vi... | 2019-02-26 | - |
| 40 | wqedasd(single model) | 61.87 | No | - | - | - |
| 41 | CorefNMN (ResNet-152) | 61.5 | No | Visual Coreference Resolution in Visual Dialog u... | 2018-09-06 | Code |
| 42 | GNN | 61.37 | No | Reasoning Visual Dialogs with Structural and Par... | 2019-04-11 | Code |
| 43 | DLC-4 | 61.09 | No | - | - | - |
| 44 | adasd | 60.11 | No | - | - | - |
| 45 | jkl | 59.96 | No | - | - | - |
| 46 | NMN | 58.8 | No | Learning to Reason: End-to-End Module Networks f... | 2017-04-18 | Code |
| 47 | sdfsdaf | 58.57 | No | - | - | - |
| 48 | shanshandu | 57.19 | No | - | - | - |
| 49 | 1 | 57.13 | No | - | - | - |
| 50 | 1 | 56.73 | No | - | - | - |
| 51 | 1 | 56.67 | No | - | - | - |
| 52 | ensemble, finetune | 56.42 | No | - | - | - |
| 53 | Ensemble + Fine-tuning | 56.35 | No | - | - | - |
| 54 | 1 | 56.34 | No | - | - | - |
| 55 | P1P2+Distill+Ensemble | 56.2 | No | - | - | - |
| 56 | VD-PCR | 56.05 | No | - | - | - |
| 57 | 7 | 56.03 | No | - | - | - |
| 58 | gat_disc_relto_4 | 55.69 | No | - | - | - |
| 59 | MN-QIH-D | 55.5 | No | Visual Dialog | 2016-11-26 | Code |
| 60 | MN-QIH-D | 55.4 | No | Visual Dialog | 2016-11-26 | Code |
| 61 | Disc, Dense, 4 Ensemble. | 55.11 | No | - | - | - |
| 62 | HRE-QIH-D | 54.2 | No | Visual Dialog | 2016-11-26 | Code |
| 63 | paratraining1epoch | 53.3 | No | - | - | - |
| 64 | gat_disc_3 | 53.19 | No | - | - | - |
| 65 | Ensemble + Finetune | 52.14 | No | Efficient Attention Mechanism for Visual Dialog ... | 2019-11-26 | Code |
| 66 | Ensemble | 51.17 | No | - | - | - |
| 67 | CE-finetuned, single model | 50.74 | No | - | - | - |
| 68 | 10 | 49.47 | No | - | - | - |
| 69 | 2 | 49.26 | No | - | - | - |
| 70 | 5-2 | 49.03 | No | - | - | - |
| 71 | 5_4 | 48.37 | No | - | - | - |
| 72 | 20 | 47.54 | No | - | - | - |
| 73 | mvan_len40_test | 47.03 | No | - | - | - |
| 74 | trainval_ch_9 | 45.84 | No | - | - | - |
| 75 | Single | 45.75 | No | - | - | - |
| 76 | 2 | 43.07 | No | - | - | - |
| 77 | simple_test | 41.66 | No | - | - | - |
| 78 | 5TS | 39.61 | No | - | - | - |
| 79 | czczx | 29.97 | No | - | - | - |
| 80 | qqhe | 7.25 | No | - | - | - |