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⌀ | dataset
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⌀ | metric_value
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⌀ |
|---|---|---|---|---|---|
Unified Image Restoration > Blind All-in-One Image Restoration
|
5-Degradations
|
AdaIR
|
https://arxiv.org/abs/2403.14614v1
|
SSIM
|
0.910
|
Unified Image Restoration > Blind All-in-One Image Restoration
|
5-Degradations
|
AnyIR
|
https://arxiv.org/abs/2407.13372v2
|
Average PSNR
|
29.65
|
Unified Image Restoration > Blind All-in-One Image Restoration
|
5-Degradations
|
AnyIR
|
https://arxiv.org/abs/2407.13372v2
|
SSIM
|
0.901
|
Unified Image Restoration > Blind All-in-One Image Restoration
|
5-Degradations
|
IDR
|
http://openaccess.thecvf.com//content/CVPR2023/html/Zhang_Ingredient-Oriented_Multi-Degradation_Learning_for_Image_Restoration_CVPR_2023_paper.html
|
Average PSNR
|
28.34
|
Unified Image Restoration > Blind All-in-One Image Restoration
|
5-Degradations
|
IDR
|
http://openaccess.thecvf.com//content/CVPR2023/html/Zhang_Ingredient-Oriented_Multi-Degradation_Learning_for_Image_Restoration_CVPR_2023_paper.html
|
SSIM
|
0.893
|
Unified Image Restoration > Blind All-in-One Image Restoration
|
5-Degradations
|
AirNet
|
http://openaccess.thecvf.com//content/CVPR2022/html/Li_All-in-One_Image_Restoration_for_Unknown_Corruption_CVPR_2022_paper.html
|
Average PSNR
|
25.49
|
Unified Image Restoration > Blind All-in-One Image Restoration
|
5-Degradations
|
AirNet
|
http://openaccess.thecvf.com//content/CVPR2022/html/Li_All-in-One_Image_Restoration_for_Unknown_Corruption_CVPR_2022_paper.html
|
SSIM
|
0.846
|
Unified Image Restoration > Blind All-in-One Image Restoration
|
3-Degradations
|
ABAIR
|
https://arxiv.org/abs/2411.18412v1
|
Average PSNR
|
33.21
|
Unified Image Restoration > Blind All-in-One Image Restoration
|
3-Degradations
|
ABAIR
|
https://arxiv.org/abs/2411.18412v1
|
SSIM
|
0.919
|
Unified Image Restoration > Blind All-in-One Image Restoration
|
3-Degradations
|
MoCE-IR
|
https://arxiv.org/abs/2411.18466v1
|
Average PSNR
|
32.73
|
Unified Image Restoration > Blind All-in-One Image Restoration
|
3-Degradations
|
MoCE-IR
|
https://arxiv.org/abs/2411.18466v1
|
SSIM
|
0.917
|
Unified Image Restoration > Blind All-in-One Image Restoration
|
3-Degradations
|
HAIR
|
https://arxiv.org/abs/2408.08091v4
|
Average PSNR
|
32.70
|
Unified Image Restoration > Blind All-in-One Image Restoration
|
3-Degradations
|
HAIR
|
https://arxiv.org/abs/2408.08091v4
|
SSIM
|
0.919
|
Unified Image Restoration > Blind All-in-One Image Restoration
|
3-Degradations
|
AdaIR
|
https://arxiv.org/abs/2403.14614v1
|
Average PSNR
|
32.69
|
Unified Image Restoration > Blind All-in-One Image Restoration
|
3-Degradations
|
AdaIR
|
https://arxiv.org/abs/2403.14614v1
|
SSIM
|
0.918
|
Unified Image Restoration > Blind All-in-One Image Restoration
|
3-Degradations
|
DA-RCOT
|
https://arxiv.org/abs/2411.01656v1
|
Average PSNR
|
32.60
|
Unified Image Restoration > Blind All-in-One Image Restoration
|
3-Degradations
|
DA-RCOT
|
https://arxiv.org/abs/2411.01656v1
|
SSIM
|
0.917
|
Unified Image Restoration > Blind All-in-One Image Restoration
|
3-Degradations
|
RAM
|
https://arxiv.org/abs/2407.13372v2
|
Average PSNR
|
32.51
|
Unified Image Restoration > Blind All-in-One Image Restoration
|
3-Degradations
|
RAM
|
https://arxiv.org/abs/2407.13372v2
|
SSIM
|
0.916
|
Unified Image Restoration > Blind All-in-One Image Restoration
|
3-Degradations
|
PromptIR
|
https://arxiv.org/abs/2306.13090v1
|
Average PSNR
|
32.06
|
Unified Image Restoration > Blind All-in-One Image Restoration
|
3-Degradations
|
PromptIR
|
https://arxiv.org/abs/2306.13090v1
|
SSIM
|
0.913
|
Unified Image Restoration > Blind All-in-One Image Restoration
|
3-Degradations
|
U-WADN
|
https://arxiv.org/abs/2401.13221v1
|
Average PSNR
|
31.47
|
Unified Image Restoration > Blind All-in-One Image Restoration
|
3-Degradations
|
U-WADN
|
https://arxiv.org/abs/2401.13221v1
|
SSIM
|
0.910
|
Unified Image Restoration > Blind All-in-One Image Restoration
|
3-Degradations
|
AirNet
|
http://openaccess.thecvf.com//content/CVPR2022/html/Li_All-in-One_Image_Restoration_for_Unknown_Corruption_CVPR_2022_paper.html
|
Average PSNR
|
31.20
|
Unified Image Restoration > Blind All-in-One Image Restoration
|
3-Degradations
|
AirNet
|
http://openaccess.thecvf.com//content/CVPR2022/html/Li_All-in-One_Image_Restoration_for_Unknown_Corruption_CVPR_2022_paper.html
|
SSIM
|
0.910
|
Lung Sound Classification
|
ICBHI Respiratory Sound Database
|
RDLINet
|
https://ieeexplore.ieee.org/document/10174701
|
Accurcay
|
99.6
|
Lung Sound Classification
|
ICBHI Respiratory Sound Database
|
Lightweight CNN
|
https://arxiv.org/abs/2009.04402v1
|
Accurcay
|
98.7
|
Lung Sound Classification
|
ICBHI Respiratory Sound Database
|
GRU
|
https://ieeexplore.ieee.org/document/9080747
|
Accurcay
|
95.7
|
Asthmatic Lung Sound Classification
|
Chest wall lung sound dataset
|
AsthmaSCELNet
|
https://www.isca-archive.org/interspeech_2023/roy23_interspeech.html
|
2-Class Accuracy
|
98.54
|
Asthmatic Lung Sound Classification
|
Chest wall lung sound dataset
|
AsTFSONN
|
https://github.com/rsarka34/AsTFSONN
|
2-Class Accuracy
|
98.50
|
Cell Segmentation
|
DIC-C2DH-HeLa
|
EncLSTM
|
http://arxiv.org/abs/1805.11247v2
|
SEG (~Mean IoU)
|
0.793
|
Cell Segmentation
|
DIC-C2DH-HeLa
|
DecLSTM
|
http://arxiv.org/abs/1805.11247v2
|
SEG (~Mean IoU)
|
0.511
|
Cell Segmentation
|
MoNuSeg
|
PromptNu
|
https://github.com/NucleiDet/PromptNu
|
Average Dice
|
0.838
|
Cell Segmentation
|
STARE
|
U-Net
|
http://arxiv.org/abs/1505.04597v1
|
AUC
|
0.7756
|
Cell Segmentation
|
Fluo-N2DH-SIM+
|
EncLSTM
|
http://arxiv.org/abs/1805.11247v2
|
SEG (~Mean IoU)
|
0.811
|
Cell Segmentation
|
Fluo-N2DH-SIM+
|
DecLSTM
|
http://arxiv.org/abs/1805.11247v2
|
SEG (~Mean IoU)
|
0.802
|
Cell Segmentation
|
LIVECell
|
Cascade Mask RCNN-ResNest-200
|
https://www.nature.com/articles/s41592-021-01249-6
|
mask AP
|
47.9
|
Cell Segmentation
|
LIVECell
|
Cascade Mask RCNN-ResNest-200
|
https://www.nature.com/articles/s41592-021-01249-6
|
mask AFNR
|
45.3
|
Cell Segmentation
|
LIVECell
|
Cascade Mask RCNN-ResNest-200
|
https://www.nature.com/articles/s41592-021-01249-6
|
LIVECell Transferability
|
0.98
|
Cell Segmentation
|
LIVECell
|
Cascade Mask RCNN-ResNest-200
|
https://www.nature.com/articles/s41592-021-01249-6
|
LIVECell Extrapolation (A549)
|
1403
|
Cell Segmentation
|
LIVECell
|
Cascade Mask RCNN-ResNest-200
|
https://www.nature.com/articles/s41592-021-01249-6
|
LIVECell Extrapolation (A172)
|
1328
|
Cell Segmentation
|
LIVECell
|
CenterMask-VoVNet2-FPN
|
https://www.nature.com/articles/s41592-021-01249-6
|
mask AP
|
47.8
|
Cell Segmentation
|
LIVECell
|
CenterMask-VoVNet2-FPN
|
https://www.nature.com/articles/s41592-021-01249-6
|
mask AFNR
|
52.2
|
Cell Segmentation
|
LIVECell
|
CenterMask-VoVNet2-FPN
|
https://www.nature.com/articles/s41592-021-01249-6
|
LIVECell Transferability
|
1.21
|
Cell Segmentation
|
LIVECell
|
CenterMask-VoVNet2-FPN
|
https://www.nature.com/articles/s41592-021-01249-6
|
LIVECell Extrapolation (A549)
|
2031
|
Cell Segmentation
|
LIVECell
|
CenterMask-VoVNet2-FPN
|
https://www.nature.com/articles/s41592-021-01249-6
|
LIVECell Extrapolation (A172)
|
1948
|
Cell Segmentation
|
LIVECell
|
Point2Mask
|
https://link.springer.com/chapter/10.1007/978-3-031-12053-4_11
|
mask AP
|
43.53
|
Cell Segmentation
|
Fluo-C3DL-MDA231
|
Dual U-Net (Neighbor distances)
|
https://arxiv.org/abs/2004.01486v4
|
SEG (~Mean IoU)
|
0.616
|
Cell Segmentation
|
CoNSeP
|
PromptNu
|
https://github.com/NucleiDet/PromptNu
|
Average Dice
|
0.857
|
Cell Segmentation
|
Fluo-N2DL-HeLa
|
Dual U-Net (Neighbor distances)
|
https://arxiv.org/abs/2004.01486v4
|
SEG (~Mean IoU)
|
0.895
|
Cell Segmentation
|
Fluo-N2DL-HeLa
|
DecLSTM
|
http://arxiv.org/abs/1805.11247v2
|
SEG (~Mean IoU)
|
0.839
|
Cell Segmentation
|
Fluo-N2DL-HeLa
|
EncLSTM
|
http://arxiv.org/abs/1805.11247v2
|
SEG (~Mean IoU)
|
0.811
|
Cell Segmentation
|
PanNuke
|
PromptNu
|
https://github.com/NucleiDet/PromptNu
|
Average Dice
|
0.860
|
Cell Segmentation
|
EVICAN
|
DeepCeNS
|
https://ieeexplore.ieee.org/abstract/document/9533624
|
mask AP
|
52.56
|
Cell Segmentation
|
EVICAN
|
DeepCeNS
|
https://ieeexplore.ieee.org/abstract/document/9533624
|
mask AP50
|
83.40
|
Cell Segmentation
|
EVICAN
|
EVICAN-MRCNN
|
https://pubmed.ncbi.nlm.nih.gov/32239126/
|
mask AP
|
32.20
|
Cell Segmentation
|
EVICAN
|
EVICAN-MRCNN
|
https://pubmed.ncbi.nlm.nih.gov/32239126/
|
mask AP50
|
61.58
|
Cell Segmentation
|
PhC-C2DH-U373
|
EncLSTM
|
http://arxiv.org/abs/1805.11247v2
|
SEG (~Mean IoU)
|
0.842
|
Cell Segmentation
|
Fluo-N2DH-GOWT1
|
DecLSTM
|
http://arxiv.org/abs/1805.11247v2
|
SEG (~Mean IoU)
|
0.854
|
Cell Segmentation
|
Fluo-N2DH-GOWT1
|
EncLSTM
|
http://arxiv.org/abs/1805.11247v2
|
SEG (~Mean IoU)
|
0.85
|
Eyeblink detection
|
HUST-LEBW
|
Zeng et al.
|
https://ieeexplore-ieee-org.libproxy1.nus.edu.sg/abstract/document/10207771
|
Avg. F1
|
91.345
|
Eyeblink detection
|
HUST-LEBW
|
Hu et al.
|
https://arxiv.org/abs/1902.07891v3
|
Avg. F1
|
61.815
|
Eyeblink detection
|
MPEblink
|
InstBlink
|
https://arxiv.org/abs/2303.16053v2
|
Blink-AP50
|
27.19
|
3D Human Pose Tracking
|
Panoptic
|
TesseTrack
|
http://www.cs.cmu.edu/~ILIM/projects/IM/TesseTrack/
|
3DMOTA
|
94.1
|
3D Human Pose Tracking > Motion Synthesis
|
AIOZ-GDANCE
|
Scalable Group Choreography
|
https://arxiv.org/abs/2407.18839v1
|
FID
|
31.01
|
3D Human Pose Tracking > Motion Synthesis
|
AIOZ-GDANCE
|
Scalable Group Choreography
|
https://arxiv.org/abs/2407.18839v1
|
MMC
|
0.271
|
3D Human Pose Tracking > Motion Synthesis
|
AIOZ-GDANCE
|
Scalable Group Choreography
|
https://arxiv.org/abs/2407.18839v1
|
GenDiv
|
10.98
|
3D Human Pose Tracking > Motion Synthesis
|
AIOZ-GDANCE
|
Scalable Group Choreography
|
https://arxiv.org/abs/2407.18839v1
|
PFC
|
2.33
|
3D Human Pose Tracking > Motion Synthesis
|
AIOZ-GDANCE
|
Scalable Group Choreography
|
https://arxiv.org/abs/2407.18839v1
|
GMR
|
30.08
|
3D Human Pose Tracking > Motion Synthesis
|
AIOZ-GDANCE
|
Scalable Group Choreography
|
https://arxiv.org/abs/2407.18839v1
|
GMC
|
84.52
|
3D Human Pose Tracking > Motion Synthesis
|
AIOZ-GDANCE
|
Scalable Group Choreography
|
https://arxiv.org/abs/2407.18839v1
|
TIF
|
0.163
|
3D Human Pose Tracking > Motion Synthesis
|
AIOZ-GDANCE
|
GCD
|
https://arxiv.org/abs/2310.18986v2
|
FID
|
31.16
|
3D Human Pose Tracking > Motion Synthesis
|
AIOZ-GDANCE
|
GCD
|
https://arxiv.org/abs/2310.18986v2
|
MMC
|
0.261
|
3D Human Pose Tracking > Motion Synthesis
|
AIOZ-GDANCE
|
GCD
|
https://arxiv.org/abs/2310.18986v2
|
GenDiv
|
10.87
|
3D Human Pose Tracking > Motion Synthesis
|
AIOZ-GDANCE
|
GCD
|
https://arxiv.org/abs/2310.18986v2
|
PFC
|
2.53
|
3D Human Pose Tracking > Motion Synthesis
|
AIOZ-GDANCE
|
GCD
|
https://arxiv.org/abs/2310.18986v2
|
GMR
|
31.47
|
3D Human Pose Tracking > Motion Synthesis
|
AIOZ-GDANCE
|
GCD
|
https://arxiv.org/abs/2310.18986v2
|
GMC
|
80.97
|
3D Human Pose Tracking > Motion Synthesis
|
AIOZ-GDANCE
|
GCD
|
https://arxiv.org/abs/2310.18986v2
|
TIF
|
0.167
|
3D Human Pose Tracking > Motion Synthesis
|
AIOZ-GDANCE
|
TCDiff
|
https://arxiv.org/abs/2403.06189v3
|
FID
|
42.39
|
3D Human Pose Tracking > Motion Synthesis
|
AIOZ-GDANCE
|
TCDiff
|
https://arxiv.org/abs/2403.06189v3
|
MMC
|
0.25
|
3D Human Pose Tracking > Motion Synthesis
|
AIOZ-GDANCE
|
TCDiff
|
https://arxiv.org/abs/2403.06189v3
|
GenDiv
|
14.37
|
3D Human Pose Tracking > Motion Synthesis
|
AIOZ-GDANCE
|
TCDiff
|
https://arxiv.org/abs/2403.06189v3
|
PFC
|
0.54
|
3D Human Pose Tracking > Motion Synthesis
|
AIOZ-GDANCE
|
TCDiff
|
https://arxiv.org/abs/2403.06189v3
|
GMR
|
21.12
|
3D Human Pose Tracking > Motion Synthesis
|
AIOZ-GDANCE
|
TCDiff
|
https://arxiv.org/abs/2403.06189v3
|
GMC
|
81.48
|
3D Human Pose Tracking > Motion Synthesis
|
AIOZ-GDANCE
|
TCDiff
|
https://arxiv.org/abs/2403.06189v3
|
TIF
|
0.15
|
3D Human Pose Tracking > Motion Synthesis
|
AIOZ-GDANCE
|
GDANCER
|
https://arxiv.org/abs/2303.12337v2
|
FID
|
43.90
|
3D Human Pose Tracking > Motion Synthesis
|
AIOZ-GDANCE
|
GDANCER
|
https://arxiv.org/abs/2303.12337v2
|
MMC
|
0.250
|
3D Human Pose Tracking > Motion Synthesis
|
AIOZ-GDANCE
|
GDANCER
|
https://arxiv.org/abs/2303.12337v2
|
GenDiv
|
9.23
|
3D Human Pose Tracking > Motion Synthesis
|
AIOZ-GDANCE
|
GDANCER
|
https://arxiv.org/abs/2303.12337v2
|
PFC
|
3.05
|
3D Human Pose Tracking > Motion Synthesis
|
AIOZ-GDANCE
|
GDANCER
|
https://arxiv.org/abs/2303.12337v2
|
GMR
|
51.27
|
3D Human Pose Tracking > Motion Synthesis
|
AIOZ-GDANCE
|
GDANCER
|
https://arxiv.org/abs/2303.12337v2
|
GMC
|
79.01
|
3D Human Pose Tracking > Motion Synthesis
|
AIOZ-GDANCE
|
GDANCER
|
https://arxiv.org/abs/2303.12337v2
|
TIF
|
0.217
|
3D Human Pose Tracking > Motion Synthesis
|
HumanML3D
|
Motion Anything
|
https://arxiv.org/abs/2503.06955v1
|
FID
|
0.028
|
3D Human Pose Tracking > Motion Synthesis
|
HumanML3D
|
Motion Anything
|
https://arxiv.org/abs/2503.06955v1
|
Diversity
|
9.521
|
3D Human Pose Tracking > Motion Synthesis
|
HumanML3D
|
Motion Anything
|
https://arxiv.org/abs/2503.06955v1
|
Multimodality
|
2.705
|
3D Human Pose Tracking > Motion Synthesis
|
HumanML3D
|
Motion Anything
|
https://arxiv.org/abs/2503.06955v1
|
R Precision Top3
|
0.829
|
3D Human Pose Tracking > Motion Synthesis
|
HumanML3D
|
MotionPCM
|
https://arxiv.org/abs/2501.19083v1
|
FID
|
0.030
|
3D Human Pose Tracking > Motion Synthesis
|
HumanML3D
|
MotionPCM
|
https://arxiv.org/abs/2501.19083v1
|
Diversity
|
9.575
|
3D Human Pose Tracking > Motion Synthesis
|
HumanML3D
|
MotionPCM
|
https://arxiv.org/abs/2501.19083v1
|
Multimodality
|
1.714
|
3D Human Pose Tracking > Motion Synthesis
|
HumanML3D
|
MotionPCM
|
https://arxiv.org/abs/2501.19083v1
|
R Precision Top3
|
0.842
|
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