task_path stringlengths 3 199 ⌀ | dataset stringlengths 1 128 ⌀ | model_name stringlengths 1 223 ⌀ | paper_url stringlengths 21 601 ⌀ | metric_name stringlengths 1 50 ⌀ | metric_value stringlengths 1 9.22k ⌀ |
|---|---|---|---|---|---|
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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