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 Understanding > Video Quality Assessment | MSU FR VQA Database | SR-SIM | https://www.semanticscholar.org/paper/SR-SIM%3A-A-fast-and-high-performance-IQA-index-based-Zhang-Li/9f962cbb9c51e5d2827e495cbb30abcf3c41ecc1 | KLCC | 0.7472 |
Video Understanding > Video Quality Assessment | MSU FR VQA Database | FSIM | https://ieeexplore.ieee.org/document/5705575 | SRCC | 0.9000 |
Video Understanding > Video Quality Assessment | MSU FR VQA Database | FSIM | https://ieeexplore.ieee.org/document/5705575 | KLCC | 0.7418 |
Video Understanding > Video Quality Assessment | MSU FR VQA Database | SSIM | https://ieeexplore.ieee.org/document/1284395 | SRCC | 0.8999 |
Video Understanding > Video Quality Assessment | MSU FR VQA Database | SSIM | https://ieeexplore.ieee.org/document/1284395 | PLCC | 0.9253 |
Video Understanding > Video Quality Assessment | MSU FR VQA Database | SSIM | https://ieeexplore.ieee.org/document/1284395 | KLCC | 0.7615 |
Video Understanding > Video Quality Assessment | MSU FR VQA Database | HaarPSI | http://arxiv.org/abs/1607.06140v4 | SRCC | 0.8982 |
Video Understanding > Video Quality Assessment | MSU FR VQA Database | HaarPSI | http://arxiv.org/abs/1607.06140v4 | KLCC | 0.7451 |
Video Understanding > Video Quality Assessment | MSU FR VQA Database | MDSI | http://arxiv.org/abs/1608.07433v4 | SRCC | 0.8971 |
Video Understanding > Video Quality Assessment | MSU FR VQA Database | MDSI | http://arxiv.org/abs/1608.07433v4 | KLCC | 0.7379 |
Video Understanding > Video Quality Assessment | MSU FR VQA Database | AVQT | null | SRCC | 0.8920 |
Video Understanding > Video Quality Assessment | MSU FR VQA Database | AVQT | null | PLCC | 0.9158 |
Video Understanding > Video Quality Assessment | MSU FR VQA Database | AVQT | null | KLCC | 0.7499 |
Video Understanding > Video Quality Assessment | MSU FR VQA Database | PSNR | null | SRCC | 0.8668 |
Video Understanding > Video Quality Assessment | MSU FR VQA Database | PSNR | null | PLCC | 0.8725 |
Video Understanding > Video Quality Assessment | MSU FR VQA Database | PSNR | null | KLCC | 0.7185 |
Video Understanding > Video Quality Assessment | MSU FR VQA Database | FR GVSP-UGCVQA (single scale) | https://arxiv.org/abs/2106.01111v1 | SRCC | 0.864 |
Video Understanding > Video Quality Assessment | MSU FR VQA Database | FR GVSP-UGCVQA (single scale) | https://arxiv.org/abs/2106.01111v1 | PLCC | 0.893 |
Video Understanding > Video Quality Assessment | MSU FR VQA Database | FR GVSP-UGCVQA (single scale) | https://arxiv.org/abs/2106.01111v1 | KLCC | 0.695 |
Video Understanding > Video Quality Assessment | MSU FR VQA Database | DVQA | null | SRCC | 0.7810 |
Video Understanding > Video Quality Assessment | MSU FR VQA Database | DVQA | null | PLCC | 0.7843 |
Video Understanding > Video Quality Assessment | MSU FR VQA Database | DVQA | null | KLCC | 0.6106 |
Video Understanding > Video Quality Assessment | MSU FR VQA Database | ST-GREED | https://arxiv.org/abs/2010.13715v2 | SRCC | 0.7547 |
Video Understanding > Video Quality Assessment | MSU FR VQA Database | ST-GREED | https://arxiv.org/abs/2010.13715v2 | PLCC | 0.8116 |
Video Understanding > Video Quality Assessment | MSU FR VQA Database | ST-GREED | https://arxiv.org/abs/2010.13715v2 | KLCC | 0.5905 |
Video Understanding > Video Quality Assessment | MSU FR VQA Database | LPIPS | http://arxiv.org/abs/1801.03924v2 | SRCC | 0.7538 |
Video Understanding > Video Quality Assessment | MSU FR VQA Database | LPIPS | http://arxiv.org/abs/1801.03924v2 | PLCC | 0.8128 |
Video Understanding > Video Quality Assessment | MSU FR VQA Database | LPIPS | http://arxiv.org/abs/1801.03924v2 | KLCC | 0.5846 |
Video Understanding > Video Quality Assessment | MSU FR VQA Database | FovVideoVDP | https://achapiro.github.io/Man21/mantiuk2021_VideoVDP.pdf | SRCC | 0.537 |
Video Understanding > Video Quality Assessment | MSU FR VQA Database | FovVideoVDP | https://achapiro.github.io/Man21/mantiuk2021_VideoVDP.pdf | PLCC | 0.607 |
Video Understanding > Video Quality Assessment | MSU FR VQA Database | FovVideoVDP | https://achapiro.github.io/Man21/mantiuk2021_VideoVDP.pdf | KLCC | 0.382 |
Video Understanding > Video Quality Assessment | KoNViD-1k | DOVER (end-to-end) | https://arxiv.org/abs/2211.04894v3 | PLCC | 0.905 |
Video Understanding > Video Quality Assessment | KoNViD-1k | FasterVQA (fine-tuned) | https://arxiv.org/abs/2210.05357v1 | PLCC | 0.898 |
Video Understanding > Video Quality Assessment | KoNViD-1k | DOVER (head-only) | https://arxiv.org/abs/2211.04894v3 | PLCC | 0.894 |
Video Understanding > Video Quality Assessment | KoNViD-1k | FAST-VQA (finetuned on KonViD-1k) | https://arxiv.org/abs/2207.02595v1 | PLCC | 0.892 |
Video Understanding > Video Quality Assessment | KoNViD-1k | ReLaX-VQA (finetuned on KoNViD-1k) | https://arxiv.org/abs/2407.11496v3 | PLCC | 0.8668 |
Video Understanding > Video Quality Assessment | KoNViD-1k | SimpleVQA | https://arxiv.org/abs/2204.14047v2 | PLCC | 0.860 |
Video Understanding > Video Quality Assessment | KoNViD-1k | DisCoVQA | https://arxiv.org/abs/2206.09853v1 | PLCC | 0.860 |
Video Understanding > Video Quality Assessment | KoNViD-1k | HVS-5M | https://arxiv.org/abs/2210.04158v1 | PLCC | 0.8562 |
Video Understanding > Video Quality Assessment | KoNViD-1k | FAST-VQA (trained on LSVQ only) | https://arxiv.org/abs/2207.02595v1 | PLCC | 0.855 |
Video Understanding > Video Quality Assessment | KoNViD-1k | CONVIQT | https://arxiv.org/abs/2206.14713v1 | PLCC | 0.849 |
Video Understanding > Video Quality Assessment | KoNViD-1k | ReLaX-VQA | https://arxiv.org/abs/2407.11496v3 | PLCC | 0.8473 |
Video Understanding > Video Quality Assessment | KoNViD-1k | ReLaX-VQA (trained on LSVQ only) | https://arxiv.org/abs/2407.11496v3 | PLCC | 0.8427 |
Video Understanding > Video Quality Assessment | KoNViD-1k | CONTRIQUE | https://arxiv.org/abs/2110.13266v1 | PLCC | 0.842 |
Video Understanding > Video Quality Assessment | KoNViD-1k | 2BiVQA | https://arxiv.org/abs/2208.14774v3 | PLCC | 0.835 |
Video Understanding > Video Quality Assessment | KoNViD-1k | BVQA-2022 | https://arxiv.org/abs/2108.08505v2 | PLCC | 0.834 |
Video Understanding > Video Quality Assessment | KoNViD-1k | RAPIQUE | https://arxiv.org/abs/2101.10955v2 | PLCC | 0.8175 |
Video Understanding > Video Quality Assessment | KoNViD-1k | VIDEVAL | https://arxiv.org/abs/2005.14354v2 | PLCC | 0.7803 |
Video Understanding > Video Quality Assessment | KoNViD-1k | VSFA | https://arxiv.org/abs/1908.00375v3 | PLCC | 0.7754 |
Video Understanding > Video Quality Assessment | KoNViD-1k | PVQ | https://arxiv.org/abs/2011.13544v2 | PLCC | 0.770 |
Video Understanding > Video Quality Assessment | KoNViD-1k | TLVQM | https://ieeexplore.ieee.org/abstract/document/8742797 | PLCC | 0.7688 |
Video Understanding > Video Quality Assessment | KoNViD-1k | ChipQA | https://arxiv.org/abs/2109.08726v1 | PLCC | 0.7625 |
Video Understanding > Video Quality Assessment | LIVE-FB LSVQ | OneAlign + FAST-VQA | https://arxiv.org/abs/2312.17090v1 | PLCC | 0.900 |
Video Understanding > Video Quality Assessment | LIVE-FB LSVQ | DOVER | https://arxiv.org/abs/2211.04894v3 | PLCC | 0.889 |
Video Understanding > Video Quality Assessment | LIVE-FB LSVQ | OneAlign | https://arxiv.org/abs/2312.17090v1 | PLCC | 0.886 |
Video Understanding > Video Quality Assessment | LIVE-FB LSVQ | FAST-VQA | https://arxiv.org/abs/2207.02595v1 | PLCC | 0.877 |
Video Understanding > Video Quality Assessment | LIVE-FB LSVQ | FasterVQA | https://arxiv.org/abs/2210.05357v1 | PLCC | 0.874 |
Video Understanding > Video Quality Assessment | LIVE-FB LSVQ | HVS-5M | https://arxiv.org/abs/2210.04158v1 | PLCC | 0.8723 |
Video Understanding > Video Quality Assessment | LIVE-FB LSVQ | SimpleVQA | https://arxiv.org/abs/2204.14047v2 | PLCC | 0.861 |
Video Understanding > Video Quality Assessment | LIVE-FB LSVQ | BVQA-2022 | https://arxiv.org/abs/2108.08505v2 | PLCC | 0.854 |
Video Understanding > Video Quality Assessment | LIVE-FB LSVQ | DisCoVQA | https://arxiv.org/abs/2206.09853v1 | PLCC | 0.850 |
Video Understanding > Video Quality Assessment | LIVE-FB LSVQ | PVQ | https://arxiv.org/abs/2011.13544v2 | PLCC | 0.827 |
Video Understanding > Video Quality Assessment | LIVE-FB LSVQ | CONTRIQUE | https://arxiv.org/abs/2110.13266v1 | PLCC | 0.826 |
Video Understanding > Video Quality Assessment | LIVE-FB LSVQ | CONVIQT | https://arxiv.org/abs/2206.14713v1 | PLCC | 0.820 |
Video Understanding > Video Quality Assessment | LIVE-FB LSVQ | VIDEVAL | https://arxiv.org/abs/2005.14354v2 | PLCC | 0.783 |
Video Understanding > Anomaly Detection In Surveillance Videos | VADD | MTFL (VST, finetuned on VADD) | https://arxiv.org/abs/2410.05900v1 | ROC AUC | 88.42 |
Video Understanding > Anomaly Detection In Surveillance Videos | ShanghaiTech Weakly Supervised | PEL | https://arxiv.org/abs/2306.14451v2 | AUC-ROC | 98.14 |
Video Understanding > Anomaly Detection In Surveillance Videos | ShanghaiTech Weakly Supervised | ProDisc-VAD | https://arxiv.org/abs/2505.02179v1 | AUC-ROC | 97.98 |
Video Understanding > Anomaly Detection In Surveillance Videos | ShanghaiTech Weakly Supervised | Learning Causal Temporal Relation and Feature Discrimination for Anomaly Detection | http://arxiv.org/abs/1802.07222v1 | AUC-ROC | 97.48 |
Video Understanding > Anomaly Detection In Surveillance Videos | ShanghaiTech Weakly Supervised | S3R | https://www.ecva.net/papers/eccv_2022/papers_ECCV/papers/136730727.pdf | AUC-ROC | 97.48 |
Video Understanding > Anomaly Detection In Surveillance Videos | ShanghaiTech Weakly Supervised | Learning Causal Temporal Relation and Feature Discrimination for Anomaly Detection | https://arxiv.org/abs/2101.10030v3 | AUC-ROC | 97.48 |
Video Understanding > Anomaly Detection In Surveillance Videos | ShanghaiTech Weakly Supervised | RTFM | https://arxiv.org/abs/2101.10030v3 | AUC-ROC | 97.21 |
Video Understanding > Anomaly Detection In Surveillance Videos | ShanghaiTech Weakly Supervised | MTFL (VST, finetuned on VADD) | https://arxiv.org/abs/2410.05900v1 | AUC-ROC | 95.70 |
Video Understanding > Anomaly Detection In Surveillance Videos | ShanghaiTech Weakly Supervised | MTFL (VST) | https://arxiv.org/abs/2410.05900v1 | AUC-ROC | 95.32 |
Video Understanding > Anomaly Detection In Surveillance Videos | ShanghaiTech Weakly Supervised | MIST | https://arxiv.org/abs/2104.01633v1 | AUC-ROC | 94.83 |
Video Understanding > Anomaly Detection In Surveillance Videos | ShanghaiTech Weakly Supervised | AR-Net | https://arxiv.org/abs/2104.07268v1 | AUC-ROC | 91.24 |
Video Understanding > Anomaly Detection In Surveillance Videos | ShanghaiTech Weakly Supervised | Multiple-Instance-Based-Video-Anomaly-Detection-Using-Deep-Temporal-Encoding-Decoding | https://arxiv.org/abs/2007.01548v2 | AUC-ROC | 89.14 |
Video Understanding > Anomaly Detection In Surveillance Videos | ShanghaiTech Weakly Supervised | GCN-Anomaly | http://arxiv.org/abs/1903.07256v1 | AUC-ROC | 84.44 |
Video Understanding > Anomaly Detection In Surveillance Videos | VFP290K | Faster R-CNN (R101) | https://openreview.net/forum?id=y2AbfIXgBK3 | mAP @0.5:0.95 | 73.2 |
Video Understanding > Anomaly Detection In Surveillance Videos | VFP290K | MPED-RNN (with memory extension) | https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9897358 | ROC AUC | 96.02 |
Video Understanding > Anomaly Detection In Surveillance Videos | VFP290K | MPED-RNN | https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9897358 | ROC AUC | 69.34 |
Video Understanding > Anomaly Detection In Surveillance Videos | VFP290K | GEPC | https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9897358 | ROC AUC | 64.03 |
Video Understanding > Anomaly Detection In Surveillance Videos | UCF-Crime | STEAD-Base | https://arxiv.org/abs/2503.07942v1 | ROC AUC | 91.34 |
Video Understanding > Anomaly Detection In Surveillance Videos | UCF-Crime | MTFL (VST, finetuned on VADD) | https://arxiv.org/abs/2410.05900v1 | ROC AUC | 89.78 |
Video Understanding > Anomaly Detection In Surveillance Videos | UCF-Crime | STEAD-Fast | https://arxiv.org/abs/2503.07942v1 | ROC AUC | 88.87 |
Video Understanding > Anomaly Detection In Surveillance Videos | UCF-Crime | BN-WVAD | https://arxiv.org/abs/2311.15367v1 | ROC AUC | 87.24 |
Video Understanding > Anomaly Detection In Surveillance Videos | UCF-Crime | MTFL (VST) | https://arxiv.org/abs/2410.05900v1 | ROC AUC | 87.16 |
Video Understanding > Anomaly Detection In Surveillance Videos | UCF-Crime | ProDisc-VAD | https://arxiv.org/abs/2505.02179v1 | ROC AUC | 87.12 |
Video Understanding > Anomaly Detection In Surveillance Videos | UCF-Crime | MGFN | https://arxiv.org/abs/2211.15098v1 | ROC AUC | 86.98 |
Video Understanding > Anomaly Detection In Surveillance Videos | UCF-Crime | PEL | https://arxiv.org/abs/2306.14451v2 | ROC AUC | 86.76 |
Video Understanding > Anomaly Detection In Surveillance Videos | UCF-Crime | S3R | https://www.ecva.net/papers/eccv_2022/papers_ECCV/papers/136730727.pdf | ROC AUC | 85.99 |
Video Understanding > Anomaly Detection In Surveillance Videos | UCF-Crime | WSAL | https://arxiv.org/abs/2008.08944v3 | ROC AUC | 85.38 |
Video Understanding > Anomaly Detection In Surveillance Videos | UCF-Crime | CR-UNet | https://ieeexplore.ieee.org/abstract/document/10098744/ | ROC AUC | 85.24 |
Video Understanding > Anomaly Detection In Surveillance Videos | UCF-Crime | Multi-stream Network with Late Fuzzy Fusion | https://doi.org/10.1016/j.eswa.2022.117030 | ROC AUC | 84.48 |
Video Understanding > Anomaly Detection In Surveillance Videos | UCF-Crime | RTFM | https://arxiv.org/abs/2101.10030v3 | ROC AUC | 84.03 |
Video Understanding > Anomaly Detection In Surveillance Videos | UCF-Crime | MIST | https://arxiv.org/abs/2104.01633v1 | ROC AUC | 82.30 |
Video Understanding > Anomaly Detection In Surveillance Videos | UCF-Crime | DMRMs | https://doi.org/10.3390/app11031344 | ROC AUC | 81.91 |
Video Understanding > Anomaly Detection In Surveillance Videos | UCF-Crime | DMRMs | https://doi.org/10.3390/app11031344 | Decidability | - |
Video Understanding > Anomaly Detection In Surveillance Videos | UCF-Crime | DMRMs | https://doi.org/10.3390/app11031344 | EER | - |
Video Understanding > Anomaly Detection In Surveillance Videos | UCF-Crime | Multiple-Instance-Based-Video-Anomaly-Detection-Using-Deep-Temporal-Encoding-Decoding | https://arxiv.org/abs/2007.01548v2 | ROC AUC | 80.10 |
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