Situation Recognition on imSitu (test)

73.41Value Accuracy

CAQ w/ RE-VGG

Updated 4d ago

Evaluation Results

Method
CAQ w/ RE-VGG 2022.03	73.41	-	38.52
Kernel GraphNet 2022.03	72.92	-	42.35
CRF w/ DataAug 2022.03	70.44	-	34.38
RNN w/ Fusion 2022.03	70.27	-	35.25
GraphNet 2022.03	69.16	-	41.36
CRF 2022.03	65.66	-	28.96
Kernel GraphNet 2022.03	55.62	68.72	30.29
Ours (Attention Feature Augmentation) 2025.01	51.1	58.88	31.56
CAQ w/ RE-VGG 2022.03	50.21	65.05	28.93
ClipSitu XTF 2025.01	47.23	58.19	29.73
CRF w/ DataAug 2022.03	46.88	62.59	25.46
RNN w/ Fusion 2022.03	46.88	63.08	26.06
GraphNet 2022.03	45.39	61.9	29.96
CRF 2022.03	42.76	58.88	22.55
CoFormer 2025.01	35.98	44.66	22.22
Kernel GraphNet 2022.03	35.41	43.27	19.38
SituFormer 2025.01	35.24	44.2	21.86
CAQ w/ RE-VGG 2022.03	30.23	38.19	18.47
GraphNet 2022.03	27.52	36.72	19.25
RNN w/ Fusion 2022.03	27.45	35.9	16.36
CRF w/ DataAug 2022.03	26.45	34.12	15.51
CRF 2022.03	24.64	32.34	14.19