Visual Question Answering On Gqa Test2019

Accuracy

Binary

Consistency

Distribution

Open

Plausibility

Validity

評価結果

このベンチマークにおける各モデルのパフォーマンス結果

モデル名	Accuracy	Binary	Consistency	Distribution	Open	Plausibility	Validity	Paper Title	Repository
fisher	60.98	77.32	90.77	5.36	46.55	84.93	96.38	-	-
LININ	60.59	78.44	92.66	7.28	44.83	85.38	96.57	-	-
LSTM+CNN	46.55	63.26	74.57	7.46	31.8	84.25	96.02	-	-
VinVL-DPT	64.92	82.63	94.37	5.11	49.29	84.91	96.64	-	-
rishabh_test	59.37	77.53	88.63	6.06	43.35	84.71	96.18	-	-
BgTest	59.8	76.74	89.14	5.11	44.85	84.2	96.23	-	-
Future_Test_team	60.17	77.19	89.61	5.83	45.14	84.46	96.36	-	-
UNITER + MAC + Graph Networks	59.29	77.31	88.94	5.8	43.38	84.43	96.3	-	-
Fj	37.03	56.61	63.96	28.4	19.74	85.12	95.76	-	-
rsa-14word	57.35	75.07	87.61	5.94	41.71	84.5	95.86	-	-
VinVL+L	64.85	82.59	94.0	4.59	49.19	84.91	96.62	VinVL+L: Enriching Visual Representation with Location Context in VQA
KU	55.0	72.09	83.47	5.29	39.92	84.66	96.34	-	-
BottomUp	49.74	66.64	78.71	5.98	34.83	84.57	96.18	Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering
graphRepresentation， Single	57.89	74.54	85.45	5.73	43.19	84.99	96.4	-	-
GRN	61.22	78.69	90.31	6.77	45.81	85.43	96.36	Bilinear Graph Networks for Visual Question Answering	-
total14	56.95	74.62	87.71	5.81	41.36	84.57	95.98	-	-
TESTOVQA007	60.18	76.97	89.65	5.29	45.36	84.47	96.33	-	-
NSM single (updated)	63.17	78.94	93.25	3.71	49.25	84.28	96.41	-	-
LW	55.65	72.86	89.18	9.69	40.46	85.27	96.33	-	-
GM6_9_2_train	56.96	74.97	85.12	7.13	41.06	84.85	96.38	-	-

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