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 ⌀ |
|---|---|---|---|---|---|
Video Anomaly Detection | HR-Avenue | COSKAD-hyperbolic | https://arxiv.org/abs/2301.09489v5 | AUC | 87.3 |
Video Anomaly Detection | HR-Avenue | BiPOCO | https://arxiv.org/abs/2207.02281v1 | AUC | 87.0 |
Video Anomaly Detection | HR-Avenue | MPED-RNN | http://arxiv.org/abs/1903.03295v2 | AUC | 86.3 |
Video Anomaly Detection | HR-Avenue | Pred | http://arxiv.org/abs/1712.09867v3 | AUC | 86.2 |
Video Anomaly Detection | HR-Avenue | Conv-AE | http://arxiv.org/abs/1604.04574v1 | AUC | 84.8 |
Video Anomaly Detection | HR-Avenue | COSKAD-radial | https://arxiv.org/abs/2301.09489v5 | AUC | 82.2 |
Video Anomaly Detection | HR-Avenue | GEPC | https://arxiv.org/abs/1912.11850v2 | AUC | 58.1 |
Video Anomaly Detection | Street Scene | PGM | https://arxiv.org/abs/2407.06000v2 | AUC | 72.7 |
Video Anomaly Detection | Street Scene | PGM | https://arxiv.org/abs/2407.06000v2 | RBDC | 30.65 |
Video Anomaly Detection | Street Scene | PGM | https://arxiv.org/abs/2407.06000v2 | TBDC | 66.03 |
Video Anomaly Detection | ShanghaiTech Campus | PoseWatch-H | https://arxiv.org/abs/2408.15185v1 | AUC | 85.75 |
Video Anomaly Detection | ShanghaiTech Campus | TSGAD | https://arxiv.org/abs/2406.15395v1 | AUC | 80.6 |
Video Anomaly Detection | ShanghaiTech Campus | VADMamba | https://arxiv.org/abs/2503.21169v1 | AUC | 77.0% |
Video Anomaly Detection | ShanghaiTech Campus | HF2-VAD | https://arxiv.org/abs/2108.06852v1 | AUC | 76.2 |
Video Anomaly Detection | CHUK Avenue | MULDE-object-centric-micro | https://arxiv.org/abs/2403.14497v1 | AUC | 94.3% |
Video Anomaly Detection | UCF-Crime | MULDE-frame-centric-micro-one-class-classification | https://arxiv.org/abs/2403.14497v1 | AUC | 78.5% |
Video Anomaly Detection | ShanghaiTech | MULDE-object-centric-micro | https://arxiv.org/abs/2403.14497v1 | AUC | 86.7% |
Video Anomaly Detection | ShanghaiTech | AnomalyRuler | https://arxiv.org/abs/2407.10299v2 | AUC | 85.2% |
Video Anomaly Detection | ShanghaiTech | VideoPatchCore | https://arxiv.org/abs/2409.16225v5 | AUC | 85.1% |
Video Anomaly Detection | ShanghaiTech | MULDE-frame-centric-micro | https://arxiv.org/abs/2403.14497v1 | AUC | 81.3% |
Video Anomaly Detection | ShanghaiTech | TSGAD | https://arxiv.org/abs/2406.15395v1 | AUC | 80.6% |
Video Anomaly Detection | ShanghaiTech | AnyAnomaly | https://arxiv.org/abs/2503.04504v1 | AUC | 79.7% |
Video Anomaly Detection | ShanghaiTech | PGM | https://arxiv.org/abs/2407.06000v2 | AUC | 61.28% |
Video Anomaly Detection | ShanghaiTech | PGM | https://arxiv.org/abs/2407.06000v2 | RBDC | 45.4 |
Video Anomaly Detection | ShanghaiTech | PGM | https://arxiv.org/abs/2407.06000v2 | TBDC | 81.87 |
Video Anomaly Detection | CUHK Avenue | VideoPatchCore | https://arxiv.org/abs/2409.16225v5 | AUC | 92.8% |
Video Anomaly Detection | CUHK Avenue | PGM | https://arxiv.org/abs/2407.06000v2 | AUC | 92.72% |
Video Anomaly Detection | CUHK Avenue | PGM | https://arxiv.org/abs/2407.06000v2 | RBDC | 60.18 |
Video Anomaly Detection | CUHK Avenue | PGM | https://arxiv.org/abs/2407.06000v2 | TBDC | 72.09 |
Video Anomaly Detection | CUHK Avenue | VADMamba | https://arxiv.org/abs/2503.21169v1 | AUC | 91.5% |
Video Anomaly Detection | CUHK Avenue | MAMA | https://ieeexplore.ieee.org/document/10462109 | AUC | 91.2% |
Video Anomaly Detection | CUHK Avenue | HF2-VAD | https://arxiv.org/abs/2108.06852v1 | AUC | 91.1% |
Video Anomaly Detection | CUHK Avenue | AnomalyRuler | https://arxiv.org/abs/2407.10299v2 | AUC | 89.7% |
Video Anomaly Detection | CUHK Avenue | AnyAnomaly | https://arxiv.org/abs/2503.04504v1 | AUC | 87.3% |
Video Anomaly Detection | UCSD Ped2 | MULDE-object-centric-micro | https://arxiv.org/abs/2403.14497v1 | AUC | 99.7% |
Video Anomaly Detection | UCSD Ped2 | VADMamba | https://arxiv.org/abs/2503.21169v1 | AUC | 98.5% |
Video Anomaly Detection | UCSD Ped2 | AnomalyRuler | https://arxiv.org/abs/2407.10299v2 | AUC | 97.9% |
Video Anomaly Detection | UBnormal | AnyAnomaly | https://arxiv.org/abs/2503.04504v1 | AUC | 74.5% |
Video Anomaly Detection | UBnormal | MULDE-frame-centric-micro-one-class-classification | https://arxiv.org/abs/2403.14497v1 | AUC | 72.8% |
Video Anomaly Detection | UBnormal | AnomalyRuler | https://arxiv.org/abs/2407.10299v2 | AUC | 71.9% |
Video Anomaly Detection | UBnormal | TrajREC | https://arxiv.org/abs/2311.01851v1 | AUC | 68% |
Video Anomaly Detection | HR-UBnormal | MoCoDAD | https://arxiv.org/abs/2307.07205v3 | AUC | 68.4 |
Video Anomaly Detection | HR-UBnormal | TrajREC | https://arxiv.org/abs/2311.01851v1 | AUC | 68.2 |
Video Anomaly Detection | HR-UBnormal | COSKAD-hyperbolic | https://arxiv.org/abs/2301.09489v5 | AUC | 65.5 |
Video Anomaly Detection | HR-UBnormal | COSKAD-euclidean | https://arxiv.org/abs/2301.09489v5 | AUC | 65.2 |
Video Anomaly Detection | HR-UBnormal | COSKAD-radial | https://arxiv.org/abs/2301.09489v5 | AUC | 63.4 |
Video Anomaly Detection | HR-UBnormal | MPED-RNN | http://arxiv.org/abs/1903.03295v2 | AUC | 61.2 |
Video Anomaly Detection | HR-UBnormal | GEPC | https://arxiv.org/abs/1912.11850v2 | AUC | 55.2 |
Video Anomaly Detection | HR-UBnormal | BiPOCO | https://arxiv.org/abs/2207.02281v1 | AUC | 52.3 |
Video Anomaly Detection | CHAD | PoseWatch-H | https://arxiv.org/abs/2408.15185v1 | AUC | 67.04 |
Video Anomaly Detection > Weakly-supervised Video Anomaly Detection | UBnormal | DDRO (SSALA) | https://ieeexplore.ieee.org/document/11036561 | AUC-ROC | 76.51 |
Video Anomaly Detection > Weakly-supervised Video Anomaly Detection | UBnormal | DDRO | https://ieeexplore.ieee.org/document/11036561 | AUC-ROC | 70.91 |
Video Anomaly Detection > Weakly-supervised Video Anomaly Detection | UBnormal | OCC-WS | https://arxiv.org/abs/2401.13551v2 | AUC-ROC | 67.42 |
Video Anomaly Detection > Weakly-supervised Video Anomaly Detection | UBnormal | RTFM | https://arxiv.org/abs/2101.10030v3 | AUC-ROC | 66.83 |
Video Anomaly Detection > Weakly-supervised Video Anomaly Detection | UBnormal | MIST | https://arxiv.org/abs/2104.01633v1 | AUC-ROC | 65.32 |
Video Anomaly Detection > Weakly-supervised Video Anomaly Detection | UBnormal | STPrompt | https://arxiv.org/abs/2408.05905v2 | AUC-ROC | 63.98 |
Video Anomaly Detection > Weakly-supervised Video Anomaly Detection | UBnormal | OPVAD | https://arxiv.org/abs/2311.07042v3 | AUC-ROC | 62.94 |
Video Anomaly Detection > Weakly-supervised Video Anomaly Detection | UBnormal | VadCLIP | https://arxiv.org/abs/2308.11681v3 | AUC-ROC | 62.32 |
Video Anomaly Detection > Weakly-supervised Video Anomaly Detection | UBnormal | AR-Net | https://arxiv.org/abs/2104.07268v1 | AUC-ROC | 62.30 |
Video Anomaly Detection > Weakly-supervised Video Anomaly Detection | UBnormal | DMU | https://arxiv.org/abs/2302.05160v1 | AUC-ROC | 59.91 |
Video Anomaly Detection > Weakly-supervised Video Anomaly Detection | UBnormal | MIL-Rank | http://arxiv.org/abs/1801.04264v3 | AUC-ROC | 54.12 |
Video Anomaly Detection > Weakly-supervised Video Anomaly Detection | ShanghaiTech Weakly Supervised | DDRO | https://ieeexplore.ieee.org/document/11036561 | AUC-ROC | 97.91 |
Video Anomaly Detection > Weakly-supervised Video Anomaly Detection | ShanghaiTech Weakly Supervised | DDRO | https://ieeexplore.ieee.org/document/11036561 | FAR-Normal | 0.04 |
Video Anomaly Detection > Weakly-supervised Video Anomaly Detection | ShanghaiTech Weakly Supervised | DDRO (SSALA) | https://ieeexplore.ieee.org/document/11036561 | AUC-ROC | 97.86 |
Video Anomaly Detection > Weakly-supervised Video Anomaly Detection | ShanghaiTech Weakly Supervised | DDRO (SSALA) | https://ieeexplore.ieee.org/document/11036561 | FAR-Normal | 0.03 |
Video Anomaly Detection > Weakly-supervised Video Anomaly Detection | ShanghaiTech Weakly Supervised | STPrompt | https://arxiv.org/abs/2408.05905v2 | AUC-ROC | 97.81 |
Video Anomaly Detection > Weakly-supervised Video Anomaly Detection | ShanghaiTech Weakly Supervised | CLAV-CoMo | http://openaccess.thecvf.com//content/CVPR2023/html/Cho_Look_Around_for_Anomalies_Weakly-Supervised_Anomaly_Detection_via_Context-Motion_Relational_CVPR_2023_paper.html | AUC-ROC | 97.59 |
Video Anomaly Detection > Weakly-supervised Video Anomaly Detection | ShanghaiTech Weakly Supervised | DMU | https://arxiv.org/abs/2302.05160v1 | AUC-ROC | 97.57 |
Video Anomaly Detection > Weakly-supervised Video Anomaly Detection | ShanghaiTech Weakly Supervised | RTFM-BERT | https://arxiv.org/abs/2210.06688v2 | AUC-ROC | 97.54 |
Video Anomaly Detection > Weakly-supervised Video Anomaly Detection | ShanghaiTech Weakly Supervised | VadCLIP | https://arxiv.org/abs/2308.11681v3 | AUC-ROC | 97.49 |
Video Anomaly Detection > Weakly-supervised Video Anomaly Detection | ShanghaiTech Weakly Supervised | S3R | https://www.ecva.net/papers/eccv_2022/papers_ECCV/papers/136730727.pdf | AUC-ROC | 97.48 |
Video Anomaly Detection > Weakly-supervised Video Anomaly Detection | ShanghaiTech Weakly Supervised | RTFM | https://arxiv.org/abs/2101.10030v3 | AUC-ROC | 97.21 |
Video Anomaly Detection > Weakly-supervised Video Anomaly Detection | ShanghaiTech Weakly Supervised | RTFM | https://arxiv.org/abs/2101.10030v3 | FAR-Normal | 1.06 |
Video Anomaly Detection > Weakly-supervised Video Anomaly Detection | ShanghaiTech Weakly Supervised | OPVAD | https://arxiv.org/abs/2311.07042v3 | AUC-ROC | 96.98 |
Video Anomaly Detection > Weakly-supervised Video Anomaly Detection | ShanghaiTech Weakly Supervised | UML | https://arxiv.org/abs/2303.12369v1 | AUC-ROC | 96.78 |
Video Anomaly Detection > Weakly-supervised Video Anomaly Detection | ShanghaiTech Weakly Supervised | OCC-WS | https://arxiv.org/abs/2401.13551v2 | AUC-ROC | 96.33 |
Video Anomaly Detection > Weakly-supervised Video Anomaly Detection | ShanghaiTech Weakly Supervised | BN-SVP | https://arxiv.org/abs/2203.12840v1 | AUC-ROC | 96.00 |
Video Anomaly Detection > Weakly-supervised Video Anomaly Detection | ShanghaiTech Weakly Supervised | MIST | https://arxiv.org/abs/2104.01633v1 | AUC-ROC | 94.83 |
Video Anomaly Detection > Weakly-supervised Video Anomaly Detection | ShanghaiTech Weakly Supervised | MIST | https://arxiv.org/abs/2104.01633v1 | FAR-Normal | 0.05 |
Video Anomaly Detection > Weakly-supervised Video Anomaly Detection | ShanghaiTech Weakly Supervised | AR-Net | https://arxiv.org/abs/2104.07268v1 | AUC-ROC | 91.24 |
Video Anomaly Detection > Weakly-supervised Video Anomaly Detection | ShanghaiTech Weakly Supervised | AR-Net | https://arxiv.org/abs/2104.07268v1 | FAR-Normal | 0.10 |
Video Anomaly Detection > Weakly-supervised Video Anomaly Detection | ShanghaiTech Weakly Supervised | MIL-Rank | http://arxiv.org/abs/1801.04264v3 | AUC-ROC | 85.33 |
Video Anomaly Detection > Weakly-supervised Video Anomaly Detection | ShanghaiTech Weakly Supervised | MIL-Rank | http://arxiv.org/abs/1801.04264v3 | FAR-Normal | 0.15 |
Unified Image Restoration | GoPro | DA-RCOT | https://arxiv.org/abs/2411.01656v1 | Average PSNR (dB) | 28.68 |
Unified Image Restoration | Rain100L | DA-RCOT | https://arxiv.org/abs/2411.01656v1 | Average PSNR (dB) | 38.36 |
Unified Image Restoration | LOL | DA-RCOT | https://arxiv.org/abs/2411.01656v1 | Average PSNR (dB) | 23.25 |
Unified Image Restoration | RESIDE | DA-RCOT | https://arxiv.org/abs/2411.01656v1 | Average PSNR (dB) | 31.26 |
Unified Image Restoration | BSD68 sigma25 | DA-RCOT | https://arxiv.org/abs/2411.01656v1 | Average PSNR (dB) | 31.23 |
Unified Image Restoration > Blind All-in-One Image Restoration | 5-Degradations | ABAIR | https://arxiv.org/abs/2411.18412v1 | Average PSNR | 31.25 |
Unified Image Restoration > Blind All-in-One Image Restoration | 5-Degradations | ABAIR | https://arxiv.org/abs/2411.18412v1 | SSIM | 0.921 |
Unified Image Restoration > Blind All-in-One Image Restoration | 5-Degradations | MoCE-IR | https://arxiv.org/abs/2411.18466v1 | Average PSNR | 30.58 |
Unified Image Restoration > Blind All-in-One Image Restoration | 5-Degradations | MoCE-IR | https://arxiv.org/abs/2411.18466v1 | SSIM | 0.919 |
Unified Image Restoration > Blind All-in-One Image Restoration | 5-Degradations | DA-RCOT | https://arxiv.org/abs/2411.01656v1 | Average PSNR | 30.40 |
Unified Image Restoration > Blind All-in-One Image Restoration | 5-Degradations | DA-RCOT | https://arxiv.org/abs/2411.01656v1 | SSIM | 0.911 |
Unified Image Restoration > Blind All-in-One Image Restoration | 5-Degradations | DA-RCOT | https://arxiv.org/abs/2411.01656v1 | LPIPS | 0.064 |
Unified Image Restoration > Blind All-in-One Image Restoration | 5-Degradations | HAIR | https://arxiv.org/abs/2408.08091v4 | Average PSNR | 30.37 |
Unified Image Restoration > Blind All-in-One Image Restoration | 5-Degradations | HAIR | https://arxiv.org/abs/2408.08091v4 | SSIM | 0.914 |
Unified Image Restoration > Blind All-in-One Image Restoration | 5-Degradations | DaAIR | https://arxiv.org/abs/2405.15475v2 | Average PSNR | 30.24 |
Unified Image Restoration > Blind All-in-One Image Restoration | 5-Degradations | DaAIR | https://arxiv.org/abs/2405.15475v2 | SSIM | 0.910 |
Unified Image Restoration > Blind All-in-One Image Restoration | 5-Degradations | AdaIR | https://arxiv.org/abs/2403.14614v1 | Average PSNR | 30.20 |
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