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 ⌀ |
|---|---|---|---|---|---|
16k > Object Detection > Video Object Detection | ImageNet VID | HVRNet (ResNeXt101-32x4d) | https://www.ecva.net/papers/eccv_2020/papers_ECCV/html/3764_ECCV_2020_paper.php | MAP | 85.5 |
16k > Object Detection > Video Object Detection | ImageNet VID | MEGA (ResNeXt101) | https://arxiv.org/abs/2003.12063v1 | MAP | 85.4 |
16k > Object Detection > Video Object Detection | ImageNet VID | BoxMask(ResNeXt101) | https://arxiv.org/abs/2210.06008v1 | MAP | 84.8 |
16k > Object Detection > Video Object Detection | ImageNet VID | DAFA-F (ResNet-101) | https://doi.org/10.1109/ACCESS.2022.3203399 | MAP | 84.5 |
16k > Object Detection > Video Object Detection | ImageNet VID | Temporal ROI Align (ResNeXt101) | https://arxiv.org/abs/2109.03495v2 | MAP | 84.3 |
16k > Object Detection > Video Object Detection | ImageNet VID | SELSA (ResNeXt-101) | https://arxiv.org/abs/1907.06390v2 | MAP | 84.3 |
16k > Object Detection > Video Object Detection | ImageNet VID | REPP + SELSA (ResNet-101) | https://arxiv.org/abs/2009.11050 | MAP | 84.2 |
16k > Object Detection > Video Object Detection | ImageNet VID | HVRNet (ResNest101) | https://www.ecva.net/papers/eccv_2020/papers_ECCV/html/3764_ECCV_2020_paper.php | MAP | 83.8 |
16k > Object Detection > Video Object Detection | ImageNet VID | Tracklet-Conditioned Detection+DCNv2+FGFA | http://arxiv.org/abs/1811.11167v1 | MAP | 83.5 |
16k > Object Detection > Video Object Detection | ImageNet VID | SELSA (ResNet-101) | https://arxiv.org/abs/1907.06390v2 | MAP | 82.69 |
16k > Object Detection > Video Object Detection | ImageNet VID | SLTnet FPN-X101 | https://www.sciencedirect.com/science/article/abs/pii/S0262885621000846 | MAP | 82.4 |
16k > Object Detection > Video Object Detection | ImageNet VID | LSTS (ResNet-101) | https://arxiv.org/abs/1911.05253v2 | MAP | 81.7 |
16k > Object Detection > Video Object Detection | ImageNet VID | BoxMask (ResNet-50) | https://arxiv.org/abs/2210.06008v1 | MAP | 80.7 |
16k > Object Detection > Video Object Detection | ImageNet VID | SparseVOD (ResNet-50) | https://arxiv.org/abs/2210.02368v2 | MAP | 80.3 |
16k > Object Detection > Video Object Detection | ImageNet VID | REPP + FGFA | https://arxiv.org/abs/2009.11050 | MAP | 80.1 |
16k > Object Detection > Video Object Detection | ImageNet VID | FGFA + Seq-NMS | http://arxiv.org/abs/1703.10025v2 | MAP | 80.1 |
16k > Object Detection > Video Object Detection | ImageNet VID | Online TSM | https://arxiv.org/abs/1811.08383v3 | MAP | 76.3 |
16k > Object Detection > Video Object Detection | ImageNet VID | REPP + YOLOv3 | https://arxiv.org/abs/2009.11050 | MAP | 75.1 |
16k > Object Detection > Video Object Detection | ImageNet VID | YOLOv3 | https://arxiv.org/abs/2009.11050 | MAP | 68.6 |
16k > Object Detection > Video Object Detection | ImageNet VID | Looking Fast and Slow | http://arxiv.org/abs/1903.10172v1 | MAP | 63.9 |
16k > Object Detection > Video Object Detection | YT-BB | null | https://arxiv.org/abs/2308.04770v1 | mAP | 59.8 |
16k > Object Detection > Video Object Detection | EPIC KITCHENS-unseen splits | Temporal ROI Align | https://arxiv.org/abs/2109.03495v2 | mAP | 39.6 |
16k > Object Detection > Video Object Detection | 01/01/19679682867 | curi barang | https://arxiv.org/abs/2402.04499v2 | 10 Images, 1*1 Stitching, Exact Accuracy | jb |
16k > Object Detection > RGB-D Salient Object Detection | NJU2K | DFormer-L | https://arxiv.org/abs/2309.09668v2 | S-Measure | 93.7 |
16k > Object Detection > RGB-D Salient Object Detection | NJU2K | DFormer-L | https://arxiv.org/abs/2309.09668v2 | Average MAE | 0.023 |
16k > Object Detection > RGB-D Salient Object Detection | NJU2K | DFormer-L | https://arxiv.org/abs/2309.09668v2 | max E-Measure | 96.4 |
16k > Object Detection > RGB-D Salient Object Detection | NJU2K | DFormer-L | https://arxiv.org/abs/2309.09668v2 | max F-Measure | 94.6 |
16k > Object Detection > RGB-D Salient Object Detection | NJU2K | CoLANet | https://arxiv.org/abs/2407.06780v1 | S-Measure | 93.4 |
16k > Object Detection > RGB-D Salient Object Detection | NJU2K | CoLANet | https://arxiv.org/abs/2407.06780v1 | Average MAE | 0.029 |
16k > Object Detection > RGB-D Salient Object Detection | NJU2K | CoLANet | https://arxiv.org/abs/2407.06780v1 | max E-Measure | 94.7 |
16k > Object Detection > RGB-D Salient Object Detection | NJU2K | CoLANet | https://arxiv.org/abs/2407.06780v1 | max F-Measure | 91.3 |
16k > Object Detection > RGB-D Salient Object Detection | NJU2K | BTS-Net | https://arxiv.org/abs/2104.01784v1 | S-Measure | 92.1 |
16k > Object Detection > RGB-D Salient Object Detection | NJU2K | BTS-Net | https://arxiv.org/abs/2104.01784v1 | Average MAE | 0.036 |
16k > Object Detection > RGB-D Salient Object Detection | NJU2K | BTS-Net | https://arxiv.org/abs/2104.01784v1 | max E-Measure | 95.4 |
16k > Object Detection > RGB-D Salient Object Detection | NJU2K | BTS-Net | https://arxiv.org/abs/2104.01784v1 | max F-Measure | 92.4 |
16k > Object Detection > RGB-D Salient Object Detection | NJU2K | SPSN | https://arxiv.org/abs/2207.07898v1 | S-Measure | 91.8 |
16k > Object Detection > RGB-D Salient Object Detection | NJU2K | SPSN | https://arxiv.org/abs/2207.07898v1 | Average MAE | 0.032 |
16k > Object Detection > RGB-D Salient Object Detection | NJU2K | SPSN | https://arxiv.org/abs/2207.07898v1 | max E-Measure | 95.0 |
16k > Object Detection > RGB-D Salient Object Detection | NJU2K | SPSN | https://arxiv.org/abs/2207.07898v1 | max F-Measure | 92.0 |
16k > Object Detection > RGB-D Salient Object Detection | NJU2K | BiANet | https://arxiv.org/abs/2004.14582v1 | S-Measure | 91.5 |
16k > Object Detection > RGB-D Salient Object Detection | NJU2K | BiANet | https://arxiv.org/abs/2004.14582v1 | Average MAE | 0.039 |
16k > Object Detection > RGB-D Salient Object Detection | NJU2K | BiANet | https://arxiv.org/abs/2004.14582v1 | max E-Measure | 94.8 |
16k > Object Detection > RGB-D Salient Object Detection | NJU2K | BiANet | https://arxiv.org/abs/2004.14582v1 | max F-Measure | 92.0 |
16k > Object Detection > RGB-D Salient Object Detection | NJU2K | CAS-GNN | https://arxiv.org/abs/2008.03087v1 | S-Measure | 91.1 |
16k > Object Detection > RGB-D Salient Object Detection | NJU2K | CAS-GNN | https://arxiv.org/abs/2008.03087v1 | Average MAE | 0.035 |
16k > Object Detection > RGB-D Salient Object Detection | NJU2K | HDFNet | https://arxiv.org/abs/2007.06227v3 | S-Measure | 91.1 |
16k > Object Detection > RGB-D Salient Object Detection | NJU2K | HDFNet | https://arxiv.org/abs/2007.06227v3 | Average MAE | 0.037 |
16k > Object Detection > RGB-D Salient Object Detection | NJU2K | JL-DCF* | https://arxiv.org/abs/2008.12134v2 | S-Measure | 91.1 |
16k > Object Detection > RGB-D Salient Object Detection | NJU2K | JL-DCF* | https://arxiv.org/abs/2008.12134v2 | Average MAE | 0.040 |
16k > Object Detection > RGB-D Salient Object Detection | NJU2K | JL-DCF* | https://arxiv.org/abs/2008.12134v2 | max E-Measure | 94.8 |
16k > Object Detection > RGB-D Salient Object Detection | NJU2K | JL-DCF* | https://arxiv.org/abs/2008.12134v2 | max F-Measure | 91.3 |
16k > Object Detection > RGB-D Salient Object Detection | NJU2K | CMMS | https://arxiv.org/abs/2007.07051v1 | S-Measure | 90.4 |
16k > Object Detection > RGB-D Salient Object Detection | NJU2K | CMMS | https://arxiv.org/abs/2007.07051v1 | Average MAE | 0.044 |
16k > Object Detection > RGB-D Salient Object Detection | NJU2K | JL-DCF | https://arxiv.org/abs/2004.08515v1 | S-Measure | 90.3 |
16k > Object Detection > RGB-D Salient Object Detection | NJU2K | JL-DCF | https://arxiv.org/abs/2004.08515v1 | Average MAE | 0.043 |
16k > Object Detection > RGB-D Salient Object Detection | NJU2K | JL-DCF | https://arxiv.org/abs/2004.08515v1 | max E-Measure | 94.4 |
16k > Object Detection > RGB-D Salient Object Detection | NJU2K | JL-DCF | https://arxiv.org/abs/2004.08515v1 | max F-Measure | 90.3 |
16k > Object Detection > RGB-D Salient Object Detection | NJU2K | CMWNet | https://arxiv.org/abs/2007.04901v1 | S-Measure | 90.3 |
16k > Object Detection > RGB-D Salient Object Detection | NJU2K | CMWNet | https://arxiv.org/abs/2007.04901v1 | Average MAE | 0.046 |
16k > Object Detection > RGB-D Salient Object Detection | NJU2K | UCNet-CVAE | https://arxiv.org/abs/2009.03075v1 | S-Measure | 90.2 |
16k > Object Detection > RGB-D Salient Object Detection | NJU2K | UCNet-CVAE | https://arxiv.org/abs/2009.03075v1 | Average MAE | 0.039 |
16k > Object Detection > RGB-D Salient Object Detection | NJU2K | DASNet | https://arxiv.org/abs/2006.00269v2 | S-Measure | 90.2 |
16k > Object Detection > RGB-D Salient Object Detection | NJU2K | DASNet | https://arxiv.org/abs/2006.00269v2 | Average MAE | 0.042 |
16k > Object Detection > RGB-D Salient Object Detection | NJU2K | DASNet | https://arxiv.org/abs/2006.00269v2 | max F-Measure | 91.1 |
16k > Object Detection > RGB-D Salient Object Detection | NJU2K | UCNet-ABP | https://arxiv.org/abs/2009.03075v1 | S-Measure | 90.0 |
16k > Object Detection > RGB-D Salient Object Detection | NJU2K | UCNet-ABP | https://arxiv.org/abs/2009.03075v1 | Average MAE | 0.039 |
16k > Object Detection > RGB-D Salient Object Detection | NJU2K | D3Net | https://arxiv.org/abs/1907.06781v2 | S-Measure | 90.0 |
16k > Object Detection > RGB-D Salient Object Detection | NJU2K | D3Net | https://arxiv.org/abs/1907.06781v2 | Average MAE | 0.046 |
16k > Object Detection > RGB-D Salient Object Detection | NJU2K | D3Net | https://arxiv.org/abs/1907.06781v2 | max E-Measure | 93.9 |
16k > Object Detection > RGB-D Salient Object Detection | NJU2K | D3Net | https://arxiv.org/abs/1907.06781v2 | max F-Measure | 90.0 |
16k > Object Detection > RGB-D Salient Object Detection | NJU2K | SSF | http://openaccess.thecvf.com/content_CVPR_2020/html/Zhang_Select_Supplement_and_Focus_for_RGB-D_Saliency_Detection_CVPR_2020_paper.html | S-Measure | 89.9 |
16k > Object Detection > RGB-D Salient Object Detection | NJU2K | SSF | http://openaccess.thecvf.com/content_CVPR_2020/html/Zhang_Select_Supplement_and_Focus_for_RGB-D_Saliency_Detection_CVPR_2020_paper.html | Average MAE | 0.043 |
16k > Object Detection > RGB-D Salient Object Detection | NJU2K | UC-Net | https://arxiv.org/abs/2004.05763v1 | S-Measure | 89.7 |
16k > Object Detection > RGB-D Salient Object Detection | NJU2K | UC-Net | https://arxiv.org/abs/2004.05763v1 | Average MAE | 0.043 |
16k > Object Detection > RGB-D Salient Object Detection | NJU2K | DANet | https://arxiv.org/abs/2007.06811v2 | S-Measure | 89.7 |
16k > Object Detection > RGB-D Salient Object Detection | NJU2K | DANet | https://arxiv.org/abs/2007.06811v2 | Average MAE | 0.046 |
16k > Object Detection > RGB-D Salient Object Detection | NJU2K | DANet | https://arxiv.org/abs/2007.06811v2 | max F-Measure | 90.5 |
16k > Object Detection > RGB-D Salient Object Detection | NJU2K | DQSD-VGG19 | https://arxiv.org/abs/2008.04159v1 | S-Measure | 89.7 |
16k > Object Detection > RGB-D Salient Object Detection | NJU2K | DQSD-VGG19 | https://arxiv.org/abs/2008.04159v1 | Average MAE | 0.052 |
16k > Object Detection > RGB-D Salient Object Detection | NJU2K | CoNet | https://arxiv.org/abs/2007.11782v1 | S-Measure | 89.4 |
16k > Object Detection > RGB-D Salient Object Detection | NJU2K | CoNet | https://arxiv.org/abs/2007.11782v1 | Average MAE | 0.047 |
16k > Object Detection > RGB-D Salient Object Detection | NJU2K | S2MA | http://openaccess.thecvf.com/content_CVPR_2020/html/Liu_Learning_Selective_Self-Mutual_Attention_for_RGB-D_Saliency_Detection_CVPR_2020_paper.html | S-Measure | 89.4 |
16k > Object Detection > RGB-D Salient Object Detection | NJU2K | S2MA | http://openaccess.thecvf.com/content_CVPR_2020/html/Liu_Learning_Selective_Self-Mutual_Attention_for_RGB-D_Saliency_Detection_CVPR_2020_paper.html | Average MAE | 0.053 |
16k > Object Detection > RGB-D Salient Object Detection | NJU2K | S2MA | http://openaccess.thecvf.com/content_CVPR_2020/html/Liu_Learning_Selective_Self-Mutual_Attention_for_RGB-D_Saliency_Detection_CVPR_2020_paper.html | max E-Measure | 92.7 |
16k > Object Detection > RGB-D Salient Object Detection | NJU2K | S2MA | http://openaccess.thecvf.com/content_CVPR_2020/html/Liu_Learning_Selective_Self-Mutual_Attention_for_RGB-D_Saliency_Detection_CVPR_2020_paper.html | max F-Measure | 88.9 |
16k > Object Detection > RGB-D Salient Object Detection | NJU2K | DMRA | http://openaccess.thecvf.com/content_ICCV_2019/html/Piao_Depth-Induced_Multi-Scale_Recurrent_Attention_Network_for_Saliency_Detection_ICCV_2019_paper.html | S-Measure | 88.6 |
16k > Object Detection > RGB-D Salient Object Detection | NJU2K | DMRA | http://openaccess.thecvf.com/content_ICCV_2019/html/Piao_Depth-Induced_Multi-Scale_Recurrent_Attention_Network_for_Saliency_Detection_ICCV_2019_paper.html | Average MAE | 0.051 |
16k > Object Detection > RGB-D Salient Object Detection | NJU2K | DMRA | http://openaccess.thecvf.com/content_ICCV_2019/html/Piao_Depth-Induced_Multi-Scale_Recurrent_Attention_Network_for_Saliency_Detection_ICCV_2019_paper.html | max E-Measure | 92.7 |
16k > Object Detection > RGB-D Salient Object Detection | NJU2K | DMRA | http://openaccess.thecvf.com/content_ICCV_2019/html/Piao_Depth-Induced_Multi-Scale_Recurrent_Attention_Network_for_Saliency_Detection_ICCV_2019_paper.html | max F-Measure | 88.6 |
16k > Object Detection > RGB-D Salient Object Detection | NJU2K | CPFP | http://openaccess.thecvf.com/content_CVPR_2019/html/Zhao_Contrast_Prior_and_Fluid_Pyramid_Integration_for_RGBD_Salient_Object_CVPR_2019_paper.html | S-Measure | 87.8 |
16k > Object Detection > RGB-D Salient Object Detection | NJU2K | CPFP | http://openaccess.thecvf.com/content_CVPR_2019/html/Zhao_Contrast_Prior_and_Fluid_Pyramid_Integration_for_RGBD_Salient_Object_CVPR_2019_paper.html | Average MAE | 0.053 |
16k > Object Detection > RGB-D Salient Object Detection | NJU2K | CPFP | http://openaccess.thecvf.com/content_CVPR_2019/html/Zhao_Contrast_Prior_and_Fluid_Pyramid_Integration_for_RGBD_Salient_Object_CVPR_2019_paper.html | max E-Measure | 92.6 |
16k > Object Detection > RGB-D Salient Object Detection | NJU2K | CPFP | http://openaccess.thecvf.com/content_CVPR_2019/html/Zhao_Contrast_Prior_and_Fluid_Pyramid_Integration_for_RGBD_Salient_Object_CVPR_2019_paper.html | max F-Measure | 87.7 |
16k > Object Detection > RGB-D Salient Object Detection | NJU2K | PCF | http://openaccess.thecvf.com/content_cvpr_2018/html/Chen_Progressively_Complementarity-Aware_Fusion_CVPR_2018_paper.html | S-Measure | 87.7 |
16k > Object Detection > RGB-D Salient Object Detection | NJU2K | PCF | http://openaccess.thecvf.com/content_cvpr_2018/html/Chen_Progressively_Complementarity-Aware_Fusion_CVPR_2018_paper.html | Average MAE | 0.059 |
16k > Object Detection > RGB-D Salient Object Detection | NJU2K | PCF | http://openaccess.thecvf.com/content_cvpr_2018/html/Chen_Progressively_Complementarity-Aware_Fusion_CVPR_2018_paper.html | max E-Measure | 92.4 |
16k > Object Detection > RGB-D Salient Object Detection | NJU2K | PCF | http://openaccess.thecvf.com/content_cvpr_2018/html/Chen_Progressively_Complementarity-Aware_Fusion_CVPR_2018_paper.html | max F-Measure | 87.2 |
16k > Object Detection > RGB-D Salient Object Detection | NJU2K | LBE | http://openaccess.thecvf.com/content_cvpr_2016/html/Feng_Local_Background_Enclosure_CVPR_2016_paper.html | S-Measure | 69.5 |
16k > Object Detection > RGB-D Salient Object Detection | NJU2K | LBE | http://openaccess.thecvf.com/content_cvpr_2016/html/Feng_Local_Background_Enclosure_CVPR_2016_paper.html | Average MAE | 0.153 |
16k > Object Detection > RGB-D Salient Object Detection | NJU2K | LBE | http://openaccess.thecvf.com/content_cvpr_2016/html/Feng_Local_Background_Enclosure_CVPR_2016_paper.html | max E-Measure | 80.3 |
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