Metric: Distribution (higher is better)
| # | Model↕ | Distribution▼ | Extra Data | Paper | Date↕ | Code |
|---|---|---|---|---|---|---|
| 1 | GlobalPrior | 93.08 | No | - | - | - |
| 2 | Mycsulb | 40.84 | No | - | - | - |
| 3 | Academia Sinica | 40.44 | No | - | - | - |
| 4 | Fj | 28.4 | No | - | - | - |
| 5 | CNN | 19.99 | No | - | - | - |
| 6 | LAS | 19.05 | No | - | - | - |
| 7 | LSTM | 17.93 | No | - | - | - |
| 8 | RES | 17.79 | No | - | - | - |
| 9 | RAM_BUGGY | 14.28 | No | - | - | - |
| 10 | LocalPrior | 13.98 | No | - | - | - |
| 11 | mfb+bert | 13.72 | No | - | - | - |
| 12 | MReaL | 13.01 | No | - | - | - |
| 13 | UJCNN | 12.54 | No | - | - | - |
| 14 | muc_ai | 11.49 | No | - | - | - |
| 15 | bear | 10.99 | No | - | - | - |
| 16 | BAN | 10.52 | No | - | - | - |
| 17 | RSN (Single Model)_v6 | 10.18 | No | - | - | - |
| 18 | Musan | 10.1 | No | - | - | - |
| 19 | LW | 9.69 | No | - | - | - |
| 20 | wcf-fight | 9.5 | No | - | - | - |
| 21 | 5TMT-qe+o | 8.66 | No | - | - | - |
| 22 | Ensemble10 | 8.56 | No | - | - | - |
| 23 | prompt IMT-16 | 8.48 | No | - | - | - |
| 24 | 113 | 8.38 | No | - | - | - |
| 25 | Ediburgh-Mila-UCLA | 8.35 | No | - | - | - |
| 26 | Partial-MSP | 7.86 | No | - | - | - |
| 27 | CHAIR | 7.63 | No | - | - | - |
| 28 | happyTeam | 7.6 | No | - | - | - |
| 29 | LSTM+CNN | 7.46 | No | - | - | - |
| 30 | LININ | 7.28 | No | - | - | - |
| 31 | GM6_9_2_train | 7.13 | No | - | - | - |
| 32 | gbert1 | 6.93 | No | - | - | - |
| 33 | sparsemax15 | 6.91 | No | - | - | - |
| 34 | GRN | 6.77 | No | Bilinear Graph Networks for Visual Question Answ... | 2019-07-23 | - |
| 35 | Mithrandir | 6.77 | No | - | - | - |
| 36 | ours-4-gqa_el_tag_v4__pretrain_rel_tag_dist_tc_v7_checkpoint-47-157510-best-4.json | 6.58 | No | - | - | - |
| 37 | Space Cat | 6.45 | No | - | - | - |
| 38 | bert_v1 | 6.43 | No | - | - | - |
| 39 | LXR955, Ensemble | 6.42 | No | LXMERT: Learning Cross-Modality Encoder Represen... | 2019-08-20 | Code |
| 40 | fbe20v3.json | 6.41 | No | - | - | - |
| 41 | Sorbonne | 6.4 | No | - | - | - |
| 42 | mcmi | 6.39 | No | - | - | - |
| 43 | Feb_ft2_mergeadd_weightalllstm_picklocw_box5_prep | 6.32 | No | - | - | - |
| 44 | test | 6.29 | No | - | - | - |
| 45 | SSRP | 6.28 | No | - | - | - |
| 46 | DAM | 6.25 | No | - | - | - |
| 47 | Inspur | 6.21 | No | - | - | - |
| 48 | happy | 6.16 | No | - | - | - |
| 49 | QGCRGN | 6.14 | No | - | - | - |
| 50 | xpj | 6.09 | No | - | - | - |
| 51 | Testify | 6.07 | No | - | - | - |
| 52 | gaochongyang9 | 6.06 | No | - | - | - |
| 53 | rishabh_test | 6.06 | No | - | - | - |
| 54 | RSN (Single Model) | 6.06 | No | - | - | - |
| 55 | RD | 6.05 | No | - | - | - |
| 56 | vv69 | 6.03 | No | - | - | - |
| 57 | ST_VQA | 6.02 | No | - | - | - |
| 58 | DL16 | 6.01 | No | - | - | - |
| 59 | HDU_ZWF | 6.01 | No | - | - | - |
| 60 | PVR | 6 | No | - | - | - |
| 61 | BottomUp | 5.98 | No | Bottom-Up and Top-Down Attention for Image Capti... | 2017-07-25 | Code |
| 62 | rsa-14word | 5.94 | No | - | - | - |
| 63 | GIN | 5.87 | No | - | - | - |
| 64 | ZhaoLab | 5.84 | No | - | - | - |
| 65 | Future_Test_team | 5.83 | No | - | - | - |
| 66 | tmp | 5.81 | No | - | - | - |
| 67 | UCAS-SARI | 5.81 | No | - | - | - |
| 68 | total14 | 5.81 | No | - | - | - |
| 69 | UNITER + MAC + Graph Networks | 5.8 | No | - | - | - |
| 70 | MMT-VQA | 5.78 | No | - | - | - |
| 71 | 45 | 5.74 | No | - | - | - |
| 72 | graphRepresentation， Single | 5.73 | No | - | - | - |
| 73 | UCM | 5.7 | No | - | - | - |
| 74 | LXR955, Single Model | 5.69 | No | LXMERT: Learning Cross-Modality Encoder Represen... | 2019-08-20 | Code |
| 75 | MJ | 5.69 | No | - | - | - |
| 76 | MSM@MSRA | 5.68 | No | - | - | - |
| 77 | test gqa | 5.65 | No | - | - | - |
| 78 | stu09e | 5.65 | No | - | - | - |
| 79 | VqaStar-UCAS-SARI | 5.65 | No | - | - | - |
| 80 | mac_qin | 5.64 | No | - | - | - |
| 81 | full_nsp_mlm_ft_joint_results_submit_predict.json | 5.63 | No | - | - | - |
| 82 | LXMERT-S | 5.6 | No | - | - | - |
| 83 | result_run_2647872_epoch11 | 5.6 | No | - | - | - |
| 84 | lxmert-adv-txt | 5.55 | No | - | - | - |
| 85 | Meta Module, Single | 5.54 | No | - | - | - |
| 86 | glimple_all | 5.54 | No | - | - | - |
| 87 | lxmert-adv-txt | 5.52 | No | - | - | - |
| 88 | MLVQA (single) | 5.48 | No | - | - | - |
| 89 | nogg | 5.48 | No | - | - | - |
| 90 | IWantADonut | 5.42 | No | - | - | - |
| 91 | LOGNet+VLR | 5.42 | No | - | - | - |
| 92 | vips | 5.41 | No | - | - | - |
| 93 | full_nsp_ft_results_submit_predict.json | 5.39 | No | - | - | - |
| 94 | IIE_Morningstar | 5.38 | No | - | - | - |
| 95 | MDETR | 5.36 | No | - | - | - |
| 96 | fisher | 5.36 | No | - | - | - |
| 97 | REX | 5.36 | No | - | - | - |
| 98 | MAC | 5.34 | No | - | - | - |
| 99 | 1-gqa | 5.33 | No | - | - | - |
| 100 | Deepblue_Semantics | 5.32 | No | - | - | - |
| 101 | test | 5.32 | No | - | - | - |
| 102 | IQA (single) | 5.31 | No | - | - | - |
| 103 | TESTOVQA007 | 5.29 | No | - | - | - |
| 104 | DeeTee | 5.29 | No | - | - | - |
| 105 | KU | 5.29 | No | - | - | - |
| 106 | Single | 5.25 | No | - | - | - |
| 107 | mlmbert | 5.24 | No | - | - | - |
| 108 | abc_test | 5.22 | No | - | - | - |
| 109 | Improved SNMN | 5.14 | No | - | - | - |
| 110 | VinVL-DPT | 5.11 | No | - | - | - |
| 111 | BgTest | 5.11 | No | - | - | - |
| 112 | Eden_test | 5.1 | No | - | - | - |
| 113 | ckpt 19 exp 90 | 4.86 | No | - | - | - |
| 114 | Single Model | 4.72 | No | VinVL: Revisiting Visual Representations in Visi... | 2021-01-02 | Code |
| 115 | LCGN | 4.7 | No | - | - | - |
| 116 | Wayne | 4.69 | No | - | - | - |
| 117 | F205 | 4.68 | No | - | - | - |
| 118 | VinVL+L | 4.59 | No | - | - | Code |
| 119 | NSM single (updated) | 3.71 | No | - | - | - |
| 120 | DREAM+Unicoder-VL (MSRA) | 3.68 | No | - | - | - |
| 121 | NSM ensemble (updated) | 2.78 | No | - | - | - |
| 122 | Kakao Brain | 2.46 | No | - | - | - |
| 123 | Coarse-to-Fine Reasoning, Single Model | 2.39 | No | - | - | - |
| 124 | MIL-nbgao | 1.7 | No | - | - | - |
| 125 | 270 | 1.49 | No | - | - | - |
| 126 | TRRNet (Ensemble) | 1.29 | No | - | - | - |
| 127 | human | 0 | No | - | - | - |