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Aesthetic Assessment on AVA (test)

0.822SRCC

Q-ALIGN

Updated 4d ago

Evaluation Results

Method
Q-ALIGN 2023.12	0.822	-	-	-	-	-	-	-	-	0.817	-
LIQE 2023.12	0.776	-	-	-	-	-	-	-	-	0.763	-
FEWSHOT-Q-ALIGN 2023.12	0.776	-	-	-	-	-	-	-	-	0.775	-
VILA-R 2023.03	0.774	-	-	-	-	-	-	-	-	0.774	-
VILA 2023.12	0.774	-	-	-	-	-	-	-	-	0.774	-
GATx3-GATP 2023.03	0.762	-	-	-	-	-	-	-	-	0.764	-
TANet 2023.03	0.758	-	-	-	-	-	-	-	-	0.765	-
Pool-3FC 2019.04	0.756	81.72	-	-	-	-	-	-	-	0.757	-
MLSP (Pool-3FC) 2023.03	0.756	-	-	-	-	-	-	-	-	0.757	-
MLSP 2023.12	0.756	-	-	-	-	-	-	-	-	0.757	-
Hosu et al. 2021.08	0.756	81.7	-	-	-	-	-	-	-	0.757	-
Niu et al. 2023.03	0.734	-	-	-	-	-	-	-	-	0.74	-
Hentschel et al. 2023.03	0.731	-	-	-	-	-	-	-	-	0.741	-
MUSIQ 2023.03	0.726	-	-	-	-	-	-	-	-	0.738	-
MUSIQ 2023.12	0.726	-	-	-	-	-	-	-	-	0.738	-
MUSIQ 2021.08	0.726	81.5	-	-	-	-	-	-	-	0.738	0.242
Aesthetic Predictor 2023.12	0.721	-	-	-	-	-	-	-	-	0.723	-
Zeng et al. (resnet101) 2023.03	0.719	-	-	-	-	-	-	-	-	0.72	-
Zeng et al. 2021.08	0.719	80.8	-	-	-	-	-	-	-	0.72	0.275
MUSIQ-single 2021.08	0.719	81.4	-	-	-	-	-	-	-	0.731	0.247
AMP 2023.03	0.709	-	-	-	-	-	-	-	-	-	-
AMP 2021.08	0.709	80.3	-	-	-	-	-	-	-	-	0.279
MaxViT 2023.03	0.708	-	-	-	-	-	-	-	-	0.745	-
MaxViT 2023.12	0.708	-	-	-	-	-	-	-	-	0.745	-
VILA-P 2023.03	0.657	-	-	-	-	-	-	-	-	0.663	-
AFDC + SPP 2023.03	0.649	-	-	-	-	-	-	-	-	0.671	-
AFDC + SPP 2021.08	0.649	83.2	-	-	-	-	-	-	-	0.671	0.271
AFDC + SPP 2021.08	0.648	83	-	-	-	-	-	-	-	-	0.273
Talebi et al. [22] 2019.04	0.639	72.3	-	-	-	-	-	-	-	0.645	-
CLIP-IQA+ 2023.12	0.619	-	-	-	-	-	-	-	-	0.586	-
Talebi et al. [22] 2019.04	0.612	81.51	-	-	-	-	-	-	-	0.636	-
NIMA (Inception-v2) 2023.03	0.612	-	-	-	-	-	-	-	-	0.636	-
NIMA 2023.12	0.612	-	-	-	-	-	-	-	-	0.636	-
NIMA 2021.08	0.612	81.5	-	-	-	-	-	-	-	0.636	-
VILA-P 2023.03	0.605	-	-	-	-	-	-	-	-	0.617	-
NIMA 2021.08	0.592	80.6	-	-	-	-	-	-	-	0.61	-
Kong et al. 2019.04	0.558	77.33	-	-	-	-	-	-	-	-	-
Kong et al. 2023.03	0.558	-	-	-	-	-	-	-	-	-	-
Kong et al. 2021.08	0.558	77.3	-	-	-	-	-	-	-	-	-
AVA 2017.04	-	67	-	-	-	-	-	-	-	-	-
VGG-Center-Crop 2017.04	-	72.2	0.83	-	-	-	-	-	-	-	-
VGG-Wrap 2017.04	-	74.1	0.84	-	-	-	-	-	-	-	-
VGG-Pad 2017.04	-	72.9	0.83	-	-	-	-	-	-	-	-
SPP-CNN 2017.04	-	76	0.84	-	-	-	-	-	-	-	-
MNA-CNN 2017.04	-	77.1	0.85	-	-	-	-	-	-	-	-
MNA-CNN-Scene 2017.04	-	77.4	-	-	-	-	-	-	-	-	-
DCNN 2017.04	-	73.25	-	-	-	-	-	-	-	-	-
DMA-Net-ImgFu 2017.04	-	75.4	-	-	-	-	-	-	-	-	-
New-MP-Net 2017.04	-	81.7	0.91	-	-	-	-	-	-	-	-
A-Lamp 2017.04	-	82.5	0.92	-	-	-	-	-	-	-	-
Murray et al. 2017.09	-	-	-	66.7	-	-	-	-	-	-	-
Kao et al. 2017.09	-	-	-	71.42	-	-	-	-	-	-	-
Lu et al. (2014) 2017.09	-	-	-	74.46	-	-	-	-	-	-	-
Lu et al. (2015) 2017.09	-	-	-	75.42	-	-	-	-	-	-	-
Kao et al. (2016) 2017.09	-	-	-	76.58	-	-	-	-	-	-	-
Wang et al. 2017.09	-	-	-	76.8	-	-	-	-	-	-	-
Mai et al. 2017.09	-	-	-	77.1	-	-	-	-	-	-	-
Kong et al. 2017.09	-	-	-	77.33	-	0.558	-	-	-	-	-
Ma et al. 2017.09	-	-	-	81.7	-	-	-	-	-	-	-
NIMA 2017.09	-	-	-	80.36	0.518	0.51	0.152	0.137	0.081	-	-
NIMA 2017.09	-	-	-	80.6	0.61	0.592	0.205	0.202	0.052	-	-
NIMA 2017.09	-	-	-	81.51	0.636	0.612	0.233	0.218	0.05	-	-
Murray et al. 2019.04	-	66.7	-	-	-	-	-	-	-	-	-
Kao et al. 2019.04	-	71.42	-	-	-	-	-	-	-	-	-
Lu et al. [12] 2019.04	-	74.46	-	-	-	-	-	-	-	-	-
Lu et al. [11] 2019.04	-	75.42	-	-	-	-	-	-	-	-	-
Hii et al. 2019.04	-	75.76	-	-	-	-	-	-	-	-	-
Mai et al. 2019.04	-	77.4	-	-	-	-	-	-	-	-	-
Ma et al. 2019.04	-	81.7	-	-	-	-	-	-	-	-	-
MNA-CNN-Scene 2021.08	-	76.5	-	-	-	-	-	-	-	-	-
A-Lamp 2021.08	-	82.5	-	-	-	-	-	-	-	-	-
MPada 2021.08	-	83	-	-	-	-	-	-	-	-	-