TASK |
DATASET |
MODEL |
METRIC NAME |
METRIC VALUE |
GLOBAL RANK |
REMOVE |
Medical Image Segmentation
|
CVC-ClinicDB
|
UACANet-S
|
mean Dice
|
0.916
|
# 26
|
|
Medical Image Segmentation
|
CVC-ClinicDB
|
UACANet-L
|
mean Dice
|
0.926
|
# 20
|
|
Medical Image Segmentation
|
CVC-ColonDB
|
UACANet-S
|
mean Dice
|
0.783
|
# 11
|
|
Medical Image Segmentation
|
CVC-ColonDB
|
UACANet-S
|
mIoU
|
0.704
|
# 11
|
|
Medical Image Segmentation
|
CVC-ColonDB
|
UACANet-S
|
Average MAE
|
0.034
|
# 5
|
|
Medical Image Segmentation
|
CVC-ColonDB
|
UACANet-S
|
S-Measure
|
0.848
|
# 4
|
|
Medical Image Segmentation
|
CVC-ColonDB
|
UACANet-S
|
max E-Measure
|
0.897
|
# 3
|
|
Medical Image Segmentation
|
CVC-ColonDB
|
UACANet-L
|
mean Dice
|
0.751
|
# 17
|
|
Medical Image Segmentation
|
CVC-ColonDB
|
UACANet-L
|
mIoU
|
0.678
|
# 16
|
|
Medical Image Segmentation
|
CVC-ColonDB
|
UACANet-L
|
Average MAE
|
0.039
|
# 3
|
|
Medical Image Segmentation
|
CVC-ColonDB
|
UACANet-L
|
S-Measure
|
0.835
|
# 5
|
|
Medical Image Segmentation
|
CVC-ColonDB
|
UACANet-L
|
max E-Measure
|
0.878
|
# 5
|
|
Medical Image Segmentation
|
ETIS-LARIBPOLYPDB
|
UACANet-L
|
mIoU
|
0.689
|
# 10
|
|
Medical Image Segmentation
|
ETIS-LARIBPOLYPDB
|
UACANet-L
|
Average MAE
|
0.012
|
# 1
|
|
Medical Image Segmentation
|
ETIS-LARIBPOLYPDB
|
UACANet-L
|
mean Dice
|
0.766
|
# 8
|
|
Medical Image Segmentation
|
ETIS-LARIBPOLYPDB
|
UACANet-L
|
S-Measure
|
0.859
|
# 2
|
|
Medical Image Segmentation
|
ETIS-LARIBPOLYPDB
|
UACANet-L
|
max E-Measure
|
0.905
|
# 1
|
|
Medical Image Segmentation
|
ETIS-LARIBPOLYPDB
|
UACANet-S
|
mIoU
|
0.615
|
# 15
|
|
Medical Image Segmentation
|
ETIS-LARIBPOLYPDB
|
UACANet-S
|
Average MAE
|
0.023
|
# 5
|
|
Medical Image Segmentation
|
ETIS-LARIBPOLYPDB
|
UACANet-S
|
mean Dice
|
0.694
|
# 14
|
|
Medical Image Segmentation
|
ETIS-LARIBPOLYPDB
|
UACANet-S
|
S-Measure
|
0.815
|
# 4
|
|
Medical Image Segmentation
|
ETIS-LARIBPOLYPDB
|
UACANet-S
|
max E-Measure
|
0.851
|
# 4
|
|
Medical Image Segmentation
|
Kvasir-SEG
|
UACANet-S
|
Average MAE
|
0.026
|
# 7
|
|
Medical Image Segmentation
|
Kvasir-SEG
|
UACANet-S
|
mean Dice
|
0.905
|
# 26
|
|
Medical Image Segmentation
|
Kvasir-SEG
|
UACANet-S
|
S-Measure
|
0.914
|
# 8
|
|
Medical Image Segmentation
|
Kvasir-SEG
|
UACANet-S
|
max E-Measure
|
0.951
|
# 6
|
|
Medical Image Segmentation
|
Kvasir-SEG
|
UACANet-S
|
mIoU
|
0.852
|
# 26
|
|
Medical Image Segmentation
|
Kvasir-SEG
|
UACANet-L
|
Average MAE
|
0.025
|
# 5
|
|
Medical Image Segmentation
|
Kvasir-SEG
|
UACANet-L
|
mean Dice
|
0.912
|
# 22
|
|
Medical Image Segmentation
|
Kvasir-SEG
|
UACANet-L
|
S-Measure
|
0.917
|
# 6
|
|
Medical Image Segmentation
|
Kvasir-SEG
|
UACANet-L
|
max E-Measure
|
0.958
|
# 4
|
|
Medical Image Segmentation
|
Kvasir-SEG
|
UACANet-L
|
mIoU
|
0.862
|
# 21
|
|