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 ⌀ |
|---|---|---|---|---|---|
Visual Object Tracking | TrackingNet | ATOM(Resnet18)+EnergyRegression | https://arxiv.org/abs/1909.12297v4 | Normalized Precision | 80.1 |
Visual Object Tracking | TrackingNet | ATOM(Resnet18)+EnergyRegression | https://arxiv.org/abs/1909.12297v4 | Success Rate | 74.5 |
Visual Object Tracking | OTB-2015 | SPMTrack-B | https://arxiv.org/abs/2503.18338v1 | AUC | 0.727 |
Visual Object Tracking | OTB-2015 | ODTrack-L | https://arxiv.org/abs/2401.01686v1 | AUC | 0.724 |
Visual Object Tracking | OTB-2015 | ODTrack-B | https://arxiv.org/abs/2401.01686v1 | AUC | 0.723 |
Visual Object Tracking | OTB-2015 | STMTrack | https://arxiv.org/abs/2104.00324v2 | AUC | 0.719 |
Visual Object Tracking | OTB-2015 | SAMURAI-L | https://arxiv.org/abs/2411.11922v2 | AUC | 0.715 |
Visual Object Tracking | OTB-2015 | PiVOT-L | https://arxiv.org/abs/2409.18901v1 | Precision | 0.946 |
Visual Object Tracking | OTB-2015 | PiVOT-L | https://arxiv.org/abs/2409.18901v1 | AUC | 0.712 |
Visual Object Tracking | OTB-2015 | HIPTrack | https://arxiv.org/abs/2311.02072v2 | AUC | 0.71 |
Visual Object Tracking | OTB-2015 | KeepTrack | https://arxiv.org/abs/2103.16556v2 | AUC | 0.709 |
Visual Object Tracking | OTB-2015 | TRASFUST | https://arxiv.org/abs/2007.04108v2 | Precision | 0.931 |
Visual Object Tracking | OTB-2015 | TRASFUST | https://arxiv.org/abs/2007.04108v2 | AUC | 0.701 |
Visual Object Tracking | OTB-2015 | AAA | https://arxiv.org/abs/2009.09237v2 | Precision | 0.91 |
Visual Object Tracking | OTB-2015 | AAA | https://arxiv.org/abs/2009.09237v2 | AUC | 0.70 |
Visual Object Tracking | OTB-2015 | ASRCF | http://openaccess.thecvf.com/content_CVPR_2019/html/Dai_Visual_Tracking_via_Adaptive_Spatially-Regularized_Correlation_Filters_CVPR_2019_paper.html | AUC | 0.692 |
Visual Object Tracking | OTB-2015 | SeqTrack-L384 | https://arxiv.org/abs/2304.14394v3 | AUC | 0.683 |
Visual Object Tracking | OTB-2015 | SE-SiamFC | https://arxiv.org/abs/2007.09115v2 | AUC | 0.66 |
Visual Object Tracking | OTB-2015 | SA-Siam | http://arxiv.org/abs/1802.08817v1 | AUC | 0.657 |
Visual Object Tracking | OTB-2015 | SiamVGG | https://arxiv.org/abs/1902.02804v4 | AUC | 0.654 |
Visual Object Tracking | OTB-2015 | UniTrack_DCF | https://arxiv.org/abs/2107.02156v2 | AUC | 0.618 |
Visual Object Tracking | OTB-2015 | CFNet | http://arxiv.org/abs/1704.06036v1 | AUC | 0.568 |
Visual Object Tracking | OTB-2015 | GradNet | https://arxiv.org/abs/1909.06800v1 | Precision | 0.861 |
Visual Object Tracking | VOT2022 | DAM4SAM | https://arxiv.org/abs/2411.17576v2 | EAO | 0.753 |
Visual Object Tracking | VOT2022 | SAM2.1 | https://arxiv.org/abs/2408.00714v2 | EAO | 0.692 |
Visual Object Tracking | VOT2022 | MS_AOT | https://arxiv.org/abs/2106.02638v3 | EAO | 0.673 |
Visual Object Tracking | VOT2022 | DiffusionTrack | http://openaccess.thecvf.com//content/CVPR2024/html/Xie_DiffusionTrack_Point_Set_Diffusion_Model_for_Visual_Object_Tracking_CVPR_2024_paper.html | EAO | 0.634 |
Visual Object Tracking | VOT2022 | MixFormerM | https://arxiv.org/abs/2302.02814v2 | EAO | 0.589 |
Visual Object Tracking | VideoCube | RTracker-L | https://arxiv.org/abs/2403.19242v1 | Precision | 63.2 |
Visual Object Tracking | VideoCube | RTracker-L | https://arxiv.org/abs/2403.19242v1 | Normalized Precision | 81.5 |
Visual Object Tracking | VideoCube | RTracker-L | https://arxiv.org/abs/2403.19242v1 | Success Rate | 69.6 |
Visual Object Tracking > Zero-Shot Single Object Tracking | LaSOT | SAMURAI-L | https://arxiv.org/abs/2411.11922v2 | AUC | 74.2 |
Visual Object Tracking > Zero-Shot Single Object Tracking | LaSOT | SAMURAI-L | https://arxiv.org/abs/2411.11922v2 | Normalized Precision | 82.7 |
Visual Object Tracking > Zero-Shot Single Object Tracking | LaSOT | SAMURAI-L | https://arxiv.org/abs/2411.11922v2 | Precision | 80.2 |
Visual Object Tracking > Zero-Shot Single Object Tracking | LaSOT | Elysium | https://arxiv.org/abs/2403.16558v2 | AUC | 56.1 |
Visual Object Tracking > Zero-Shot Single Object Tracking | LaSOT | Elysium | https://arxiv.org/abs/2403.16558v2 | Normalized Precision | 61.0 |
Visual Object Tracking > Zero-Shot Single Object Tracking | LaSOT | Elysium | https://arxiv.org/abs/2403.16558v2 | Precision | 50.1 |
X-ray Visual Question Answering | MIMIC-CXR, MIMIC-IV | MedPromptX | https://arxiv.org/abs/2403.15585v4 | F1-score | 0.69 |
Brain Computer Interface > Motor Imagery > Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | PhysionetMotorImagery MOABB | TS + EL | https://arxiv.org/abs/2404.15319v1 | training time (s) | 25.291020102752295 |
Brain Computer Interface > Motor Imagery > Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | PhysionetMotorImagery MOABB | TS + EL | https://arxiv.org/abs/2404.15319v1 | CO2 Emission (g) | 0.013059559739449542 |
Brain Computer Interface > Motor Imagery > Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | PhysionetMotorImagery MOABB | TS + EL | https://arxiv.org/abs/2404.15319v1 | Accuracy | 59.934408990825695 |
Brain Computer Interface > Motor Imagery > Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | PhysionetMotorImagery MOABB | TS + LR | https://arxiv.org/abs/2404.15319v1 | training time (s) | 2.2208920137614676 |
Brain Computer Interface > Motor Imagery > Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | PhysionetMotorImagery MOABB | TS + LR | https://arxiv.org/abs/2404.15319v1 | CO2 Emission (g) | 0.0010041190067889907 |
Brain Computer Interface > Motor Imagery > Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | PhysionetMotorImagery MOABB | TS + LR | https://arxiv.org/abs/2404.15319v1 | Accuracy | 58.55441266055046 |
Brain Computer Interface > Motor Imagery > Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | PhysionetMotorImagery MOABB | TS + SVM | https://arxiv.org/abs/2404.15319v1 | training time (s) | 48.31867250642202 |
Brain Computer Interface > Motor Imagery > Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | PhysionetMotorImagery MOABB | TS + SVM | https://arxiv.org/abs/2404.15319v1 | CO2 Emission (g) | 0.0243752586293578 |
Brain Computer Interface > Motor Imagery > Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | PhysionetMotorImagery MOABB | TS + SVM | https://arxiv.org/abs/2404.15319v1 | Accuracy | 58.458600238532114 |
Brain Computer Interface > Motor Imagery > Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | PhysionetMotorImagery MOABB | ACM + TS + SVM | https://arxiv.org/abs/2404.15319v1 | training time (s) | 92.28611607692308 |
Brain Computer Interface > Motor Imagery > Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | PhysionetMotorImagery MOABB | ACM + TS + SVM | https://arxiv.org/abs/2404.15319v1 | CO2 Emission (g) | 2.330426302205128 |
Brain Computer Interface > Motor Imagery > Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | PhysionetMotorImagery MOABB | ACM + TS + SVM | https://arxiv.org/abs/2404.15319v1 | Accuracy | 56.68057317948718 |
Brain Computer Interface > Motor Imagery > Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | PhysionetMotorImagery MOABB | FgMDM | https://arxiv.org/abs/2404.15319v1 | training time (s) | 3.204224353211009 |
Brain Computer Interface > Motor Imagery > Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | PhysionetMotorImagery MOABB | FgMDM | https://arxiv.org/abs/2404.15319v1 | CO2 Emission (g) | 0.002020601044036697 |
Brain Computer Interface > Motor Imagery > Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | PhysionetMotorImagery MOABB | FgMDM | https://arxiv.org/abs/2404.15319v1 | Accuracy | 55.0438009174312 |
Brain Computer Interface > Motor Imagery > Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | PhysionetMotorImagery MOABB | CSP + SVM | https://arxiv.org/abs/2404.15319v1 | training time (s) | 1190.5449858715597 |
Brain Computer Interface > Motor Imagery > Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | PhysionetMotorImagery MOABB | CSP + SVM | https://arxiv.org/abs/2404.15319v1 | CO2 Emission (g) | 1.9742764488073394 |
Brain Computer Interface > Motor Imagery > Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | PhysionetMotorImagery MOABB | CSP + SVM | https://arxiv.org/abs/2404.15319v1 | Accuracy | 48.51775490825688 |
Brain Computer Interface > Motor Imagery > Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | PhysionetMotorImagery MOABB | CSP + LDA | https://arxiv.org/abs/2404.15319v1 | training time (s) | 8.780583234862386 |
Brain Computer Interface > Motor Imagery > Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | PhysionetMotorImagery MOABB | CSP + LDA | https://arxiv.org/abs/2404.15319v1 | CO2 Emission (g) | 0.0054728938412844045 |
Brain Computer Interface > Motor Imagery > Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | PhysionetMotorImagery MOABB | CSP + LDA | https://arxiv.org/abs/2404.15319v1 | Accuracy | 47.73427576146789 |
Brain Computer Interface > Motor Imagery > Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | PhysionetMotorImagery MOABB | DLCSPauto + shLDA | https://arxiv.org/abs/2404.15319v1 | training time (s) | 8.482141944036696 |
Brain Computer Interface > Motor Imagery > Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | PhysionetMotorImagery MOABB | DLCSPauto + shLDA | https://arxiv.org/abs/2404.15319v1 | CO2 Emission (g) | 0.005456309299082569 |
Brain Computer Interface > Motor Imagery > Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | PhysionetMotorImagery MOABB | DLCSPauto + shLDA | https://arxiv.org/abs/2404.15319v1 | Accuracy | 46.84880671559633 |
Brain Computer Interface > Motor Imagery > Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | PhysionetMotorImagery MOABB | FBCSP + SVM | https://arxiv.org/abs/2404.15319v1 | training time (s) | 68.7581273853211 |
Brain Computer Interface > Motor Imagery > Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | PhysionetMotorImagery MOABB | FBCSP + SVM | https://arxiv.org/abs/2404.15319v1 | CO2 Emission (g) | 0.06618156533027524 |
Brain Computer Interface > Motor Imagery > Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | PhysionetMotorImagery MOABB | FBCSP + SVM | https://arxiv.org/abs/2404.15319v1 | Accuracy | 45.493503000000004 |
Brain Computer Interface > Motor Imagery > Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | PhysionetMotorImagery MOABB | MDM | https://arxiv.org/abs/2404.15319v1 | training time (s) | 6.167569839633027 |
Brain Computer Interface > Motor Imagery > Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | PhysionetMotorImagery MOABB | MDM | https://arxiv.org/abs/2404.15319v1 | CO2 Emission (g) | 0.003281270780733945 |
Brain Computer Interface > Motor Imagery > Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | PhysionetMotorImagery MOABB | MDM | https://arxiv.org/abs/2404.15319v1 | Accuracy | 42.96454042201835 |
Brain Computer Interface > Motor Imagery > Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | PhysionetMotorImagery MOABB | ShallowConvNet | https://arxiv.org/abs/2404.15319v1 | training time (s) | 15.891879321100918 |
Brain Computer Interface > Motor Imagery > Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | PhysionetMotorImagery MOABB | ShallowConvNet | https://arxiv.org/abs/2404.15319v1 | CO2 Emission (g) | 0.038677560009174314 |
Brain Computer Interface > Motor Imagery > Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | PhysionetMotorImagery MOABB | ShallowConvNet | https://arxiv.org/abs/2404.15319v1 | Accuracy | 41.87124210091743 |
Brain Computer Interface > Motor Imagery > Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | PhysionetMotorImagery MOABB | EEGNet-8,2 | https://arxiv.org/abs/2404.15319v1 | training time (s) | 10.598362683486238 |
Brain Computer Interface > Motor Imagery > Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | PhysionetMotorImagery MOABB | EEGNet-8,2 | https://arxiv.org/abs/2404.15319v1 | CO2 Emission (g) | 0.024848891426605502 |
Brain Computer Interface > Motor Imagery > Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | PhysionetMotorImagery MOABB | EEGNet-8,2 | https://arxiv.org/abs/2404.15319v1 | Accuracy | 29.03593889908257 |
Brain Computer Interface > Motor Imagery > Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | PhysionetMotorImagery MOABB | DeepConvNet | https://arxiv.org/abs/2404.15319v1 | training time (s) | 14.11812210091743 |
Brain Computer Interface > Motor Imagery > Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | PhysionetMotorImagery MOABB | DeepConvNet | https://arxiv.org/abs/2404.15319v1 | CO2 Emission (g) | 0.034966375495412844 |
Brain Computer Interface > Motor Imagery > Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | PhysionetMotorImagery MOABB | DeepConvNet | https://arxiv.org/abs/2404.15319v1 | Accuracy | 27.682707357798165 |
Brain Computer Interface > Motor Imagery > Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | PhysionetMotorImagery MOABB | EEGNeX | https://arxiv.org/abs/2404.15319v1 | training time (s) | 22.783741321100916 |
Brain Computer Interface > Motor Imagery > Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | PhysionetMotorImagery MOABB | EEGNeX | https://arxiv.org/abs/2404.15319v1 | CO2 Emission (g) | 0.059308609688073395 |
Brain Computer Interface > Motor Imagery > Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | PhysionetMotorImagery MOABB | EEGNeX | https://arxiv.org/abs/2404.15319v1 | Accuracy | 26.68615756880734 |
Brain Computer Interface > Motor Imagery > Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | PhysionetMotorImagery MOABB | EEGITNet | https://arxiv.org/abs/2404.15319v1 | training time (s) | 13.559821752293578 |
Brain Computer Interface > Motor Imagery > Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | PhysionetMotorImagery MOABB | EEGITNet | https://arxiv.org/abs/2404.15319v1 | CO2 Emission (g) | 0.4149273854862385 |
Brain Computer Interface > Motor Imagery > Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | PhysionetMotorImagery MOABB | EEGITNet | https://arxiv.org/abs/2404.15319v1 | Accuracy | 26.154798385321104 |
Brain Computer Interface > Motor Imagery > Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | PhysionetMotorImagery MOABB | EEGTCNet | https://arxiv.org/abs/2404.15319v1 | training time (s) | 18.127433243119267 |
Brain Computer Interface > Motor Imagery > Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | PhysionetMotorImagery MOABB | EEGTCNet | https://arxiv.org/abs/2404.15319v1 | CO2 Emission (g) | 2.7750069540733944 |
Brain Computer Interface > Motor Imagery > Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | PhysionetMotorImagery MOABB | EEGTCNet | https://arxiv.org/abs/2404.15319v1 | Accuracy | 25.790262357798166 |
Brain Computer Interface > Motor Imagery > Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | Weibo2014 MOABB | ACM + TS + SVM | https://arxiv.org/abs/2404.15319v1 | training time (s) | 335.21023 |
Brain Computer Interface > Motor Imagery > Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | Weibo2014 MOABB | ACM + TS + SVM | https://arxiv.org/abs/2404.15319v1 | CO2 Emission (g) | 6.1498658200000005 |
Brain Computer Interface > Motor Imagery > Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | Weibo2014 MOABB | ACM + TS + SVM | https://arxiv.org/abs/2404.15319v1 | Accuracy | 64.3835718 |
Brain Computer Interface > Motor Imagery > Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | Weibo2014 MOABB | TS + EL | https://arxiv.org/abs/2404.15319v1 | training time (s) | 34.0226515 |
Brain Computer Interface > Motor Imagery > Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | Weibo2014 MOABB | TS + EL | https://arxiv.org/abs/2404.15319v1 | CO2 Emission (g) | 0.0319534623 |
Brain Computer Interface > Motor Imagery > Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | Weibo2014 MOABB | TS + EL | https://arxiv.org/abs/2404.15319v1 | Accuracy | 63.840714199999994 |
Brain Computer Interface > Motor Imagery > Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | Weibo2014 MOABB | TS + LR | https://arxiv.org/abs/2404.15319v1 | training time (s) | 2.12094548 |
Brain Computer Interface > Motor Imagery > Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | Weibo2014 MOABB | TS + LR | https://arxiv.org/abs/2404.15319v1 | CO2 Emission (g) | 0.00205973584 |
Brain Computer Interface > Motor Imagery > Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | Weibo2014 MOABB | TS + LR | https://arxiv.org/abs/2404.15319v1 | Accuracy | 62.762142 |
Brain Computer Interface > Motor Imagery > Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | Weibo2014 MOABB | TS + SVM | https://arxiv.org/abs/2404.15319v1 | training time (s) | 15.092744999999999 |
Brain Computer Interface > Motor Imagery > Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | Weibo2014 MOABB | TS + SVM | https://arxiv.org/abs/2404.15319v1 | CO2 Emission (g) | 0.014714955200000001 |
Brain Computer Interface > Motor Imagery > Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | Weibo2014 MOABB | TS + SVM | https://arxiv.org/abs/2404.15319v1 | Accuracy | 61.469286499999995 |
Brain Computer Interface > Motor Imagery > Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | Weibo2014 MOABB | FgMDM | https://arxiv.org/abs/2404.15319v1 | training time (s) | 3.4260148399999997 |
Brain Computer Interface > Motor Imagery > Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | Weibo2014 MOABB | FgMDM | https://arxiv.org/abs/2404.15319v1 | CO2 Emission (g) | 0.00332279971 |
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