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 | COCO test-dev | FreeAnchor + SEPC (DCN, ResNext-101-64x4d) | https://arxiv.org/abs/2005.03101v1 | AP50 | 69.8 |
16k > Object Detection | COCO test-dev | FreeAnchor + SEPC (DCN, ResNext-101-64x4d) | https://arxiv.org/abs/2005.03101v1 | AP75 | 54.3 |
16k > Object Detection | COCO test-dev | FreeAnchor + SEPC (DCN, ResNext-101-64x4d) | https://arxiv.org/abs/2005.03101v1 | APS | 31.3 |
16k > Object Detection | COCO test-dev | FreeAnchor + SEPC (DCN, ResNext-101-64x4d) | https://arxiv.org/abs/2005.03101v1 | APM | 53.3 |
16k > Object Detection | COCO test-dev | FreeAnchor + SEPC (DCN, ResNext-101-64x4d) | https://arxiv.org/abs/2005.03101v1 | APL | 63.7 |
16k > Object Detection | COCO test-dev | FreeAnchor + SEPC (DCN, ResNext-101-64x4d) | https://arxiv.org/abs/2005.03101v1 | Hardware Burden | null |
16k > Object Detection | COCO test-dev | FreeAnchor + SEPC (DCN, ResNext-101-64x4d) | https://arxiv.org/abs/2005.03101v1 | Operations per network pass | null |
16k > Object Detection | COCO test-dev | D2Det (ResNet-101-DCN, multi-scale test) | http://openaccess.thecvf.com/content_CVPR_2020/html/Cao_D2Det_Towards_High_Quality_Object_Detection_and_Instance_Segmentation_CVPR_2020_paper.html | box mAP | 50.1 |
16k > Object Detection | COCO test-dev | D2Det (ResNet-101-DCN, multi-scale test) | http://openaccess.thecvf.com/content_CVPR_2020/html/Cao_D2Det_Towards_High_Quality_Object_Detection_and_Instance_Segmentation_CVPR_2020_paper.html | AP50 | 69.4 |
16k > Object Detection | COCO test-dev | D2Det (ResNet-101-DCN, multi-scale test) | http://openaccess.thecvf.com/content_CVPR_2020/html/Cao_D2Det_Towards_High_Quality_Object_Detection_and_Instance_Segmentation_CVPR_2020_paper.html | AP75 | 54.9 |
16k > Object Detection | COCO test-dev | D2Det (ResNet-101-DCN, multi-scale test) | http://openaccess.thecvf.com/content_CVPR_2020/html/Cao_D2Det_Towards_High_Quality_Object_Detection_and_Instance_Segmentation_CVPR_2020_paper.html | APS | 32.7 |
16k > Object Detection | COCO test-dev | D2Det (ResNet-101-DCN, multi-scale test) | http://openaccess.thecvf.com/content_CVPR_2020/html/Cao_D2Det_Towards_High_Quality_Object_Detection_and_Instance_Segmentation_CVPR_2020_paper.html | APM | 52.7 |
16k > Object Detection | COCO test-dev | D2Det (ResNet-101-DCN, multi-scale test) | http://openaccess.thecvf.com/content_CVPR_2020/html/Cao_D2Det_Towards_High_Quality_Object_Detection_and_Instance_Segmentation_CVPR_2020_paper.html | APL | 62.1 |
16k > Object Detection | COCO test-dev | D2Det (ResNet-101-DCN, multi-scale test) | http://openaccess.thecvf.com/content_CVPR_2020/html/Cao_D2Det_Towards_High_Quality_Object_Detection_and_Instance_Segmentation_CVPR_2020_paper.html | Hardware Burden | null |
16k > Object Detection | COCO test-dev | D2Det (ResNet-101-DCN, multi-scale test) | http://openaccess.thecvf.com/content_CVPR_2020/html/Cao_D2Det_Towards_High_Quality_Object_Detection_and_Instance_Segmentation_CVPR_2020_paper.html | Operations per network pass | null |
16k > Object Detection | COCO test-dev | Dynamic R-CNN (ResNet-101-DCN, multi-scale) | https://arxiv.org/abs/2004.06002v2 | box mAP | 50.1 |
16k > Object Detection | COCO test-dev | Dynamic R-CNN (ResNet-101-DCN, multi-scale) | https://arxiv.org/abs/2004.06002v2 | AP50 | 68.3 |
16k > Object Detection | COCO test-dev | Dynamic R-CNN (ResNet-101-DCN, multi-scale) | https://arxiv.org/abs/2004.06002v2 | AP75 | 55.6 |
16k > Object Detection | COCO test-dev | Dynamic R-CNN (ResNet-101-DCN, multi-scale) | https://arxiv.org/abs/2004.06002v2 | APS | 32.8 |
16k > Object Detection | COCO test-dev | Dynamic R-CNN (ResNet-101-DCN, multi-scale) | https://arxiv.org/abs/2004.06002v2 | APM | 53.0 |
16k > Object Detection | COCO test-dev | Dynamic R-CNN (ResNet-101-DCN, multi-scale) | https://arxiv.org/abs/2004.06002v2 | APL | 61.2 |
16k > Object Detection | COCO test-dev | Dynamic R-CNN (ResNet-101-DCN, multi-scale) | https://arxiv.org/abs/2004.06002v2 | Hardware Burden | null |
16k > Object Detection | COCO test-dev | Dynamic R-CNN (ResNet-101-DCN, multi-scale) | https://arxiv.org/abs/2004.06002v2 | Operations per network pass | null |
16k > Object Detection | COCO test-dev | TSD(ResNet-101-Deformable, Image Pyramid) | https://arxiv.org/abs/2003.07540v1 | box mAP | 49.4 |
16k > Object Detection | COCO test-dev | TSD(ResNet-101-Deformable, Image Pyramid) | https://arxiv.org/abs/2003.07540v1 | AP50 | 69.6 |
16k > Object Detection | COCO test-dev | TSD(ResNet-101-Deformable, Image Pyramid) | https://arxiv.org/abs/2003.07540v1 | AP75 | 54.4 |
16k > Object Detection | COCO test-dev | TSD(ResNet-101-Deformable, Image Pyramid) | https://arxiv.org/abs/2003.07540v1 | APS | 32.7 |
16k > Object Detection | COCO test-dev | TSD(ResNet-101-Deformable, Image Pyramid) | https://arxiv.org/abs/2003.07540v1 | APM | 52.5 |
16k > Object Detection | COCO test-dev | TSD(ResNet-101-Deformable, Image Pyramid) | https://arxiv.org/abs/2003.07540v1 | APL | 61.0 |
16k > Object Detection | COCO test-dev | TSD(ResNet-101-Deformable, Image Pyramid) | https://arxiv.org/abs/2003.07540v1 | Hardware Burden | null |
16k > Object Detection | COCO test-dev | TSD(ResNet-101-Deformable, Image Pyramid) | https://arxiv.org/abs/2003.07540v1 | Operations per network pass | null |
16k > Object Detection | COCO test-dev | RepPoints v2 (ResNeXt-101, DCN) | https://arxiv.org/abs/2007.08508v1 | box mAP | 49.4 |
16k > Object Detection | COCO test-dev | RepPoints v2 (ResNeXt-101, DCN) | https://arxiv.org/abs/2007.08508v1 | AP50 | 68.9 |
16k > Object Detection | COCO test-dev | RepPoints v2 (ResNeXt-101, DCN) | https://arxiv.org/abs/2007.08508v1 | AP75 | 53.4 |
16k > Object Detection | COCO test-dev | RepPoints v2 (ResNeXt-101, DCN) | https://arxiv.org/abs/2007.08508v1 | APS | 30.3 |
16k > Object Detection | COCO test-dev | RepPoints v2 (ResNeXt-101, DCN) | https://arxiv.org/abs/2007.08508v1 | APM | 52.1 |
16k > Object Detection | COCO test-dev | RepPoints v2 (ResNeXt-101, DCN) | https://arxiv.org/abs/2007.08508v1 | APL | 62.3 |
16k > Object Detection | COCO test-dev | RepPoints v2 (ResNeXt-101, DCN) | https://arxiv.org/abs/2007.08508v1 | Hardware Burden | null |
16k > Object Detection | COCO test-dev | RepPoints v2 (ResNeXt-101, DCN) | https://arxiv.org/abs/2007.08508v1 | Operations per network pass | null |
16k > Object Detection | COCO test-dev | A2MIM (ViT-B) | https://arxiv.org/abs/2205.13943v4 | box mAP | 49.4 |
16k > Object Detection | COCO test-dev | iBOT (ViT-S/16) | https://arxiv.org/abs/2111.07832v3 | box mAP | 49.4 |
16k > Object Detection | COCO test-dev | CPNDet (Hourglass-104, multi-scale) | https://arxiv.org/abs/2007.13816v1 | box mAP | 49.2 |
16k > Object Detection | COCO test-dev | CPNDet (Hourglass-104, multi-scale) | https://arxiv.org/abs/2007.13816v1 | AP50 | 67.3 |
16k > Object Detection | COCO test-dev | CPNDet (Hourglass-104, multi-scale) | https://arxiv.org/abs/2007.13816v1 | AP75 | 53.7 |
16k > Object Detection | COCO test-dev | CPNDet (Hourglass-104, multi-scale) | https://arxiv.org/abs/2007.13816v1 | APS | 31.0 |
16k > Object Detection | COCO test-dev | CPNDet (Hourglass-104, multi-scale) | https://arxiv.org/abs/2007.13816v1 | APM | 51.9 |
16k > Object Detection | COCO test-dev | CPNDet (Hourglass-104, multi-scale) | https://arxiv.org/abs/2007.13816v1 | APL | 62.4 |
16k > Object Detection | COCO test-dev | CPNDet (Hourglass-104, multi-scale) | https://arxiv.org/abs/2007.13816v1 | Hardware Burden | null |
16k > Object Detection | COCO test-dev | CPNDet (Hourglass-104, multi-scale) | https://arxiv.org/abs/2007.13816v1 | Operations per network pass | null |
16k > Object Detection | COCO test-dev | GFLV2 (ResNeXt-101, 32x4d, DCN) | https://arxiv.org/abs/2011.12885v1 | box mAP | 49 |
16k > Object Detection | COCO test-dev | GFLV2 (ResNeXt-101, 32x4d, DCN) | https://arxiv.org/abs/2011.12885v1 | AP50 | 67.6 |
16k > Object Detection | COCO test-dev | GFLV2 (ResNeXt-101, 32x4d, DCN) | https://arxiv.org/abs/2011.12885v1 | AP75 | 53.5 |
16k > Object Detection | COCO test-dev | GFLV2 (ResNeXt-101, 32x4d, DCN) | https://arxiv.org/abs/2011.12885v1 | APS | 29.7 |
16k > Object Detection | COCO test-dev | GFLV2 (ResNeXt-101, 32x4d, DCN) | https://arxiv.org/abs/2011.12885v1 | APM | 52.4 |
16k > Object Detection | COCO test-dev | GFLV2 (ResNeXt-101, 32x4d, DCN) | https://arxiv.org/abs/2011.12885v1 | APL | 61.4 |
16k > Object Detection | COCO test-dev | GFLV2 (ResNeXt-101, 32x4d, DCN) | https://arxiv.org/abs/2011.12885v1 | Hardware Burden | 3G |
16k > Object Detection | COCO test-dev | GFLV2 (ResNeXt-101, 32x4d, DCN) | https://arxiv.org/abs/2011.12885v1 | Operations per network pass | null |
16k > Object Detection | COCO test-dev | aLRP Loss (ResNext-101-64x4d, DCN, single scale) | https://arxiv.org/abs/2009.13592v4 | box mAP | 48.9 |
16k > Object Detection | COCO test-dev | aLRP Loss (ResNext-101-64x4d, DCN, single scale) | https://arxiv.org/abs/2009.13592v4 | AP50 | 69.3 |
16k > Object Detection | COCO test-dev | aLRP Loss (ResNext-101-64x4d, DCN, single scale) | https://arxiv.org/abs/2009.13592v4 | AP75 | 52.5 |
16k > Object Detection | COCO test-dev | aLRP Loss (ResNext-101-64x4d, DCN, single scale) | https://arxiv.org/abs/2009.13592v4 | APS | 30.8 |
16k > Object Detection | COCO test-dev | aLRP Loss (ResNext-101-64x4d, DCN, single scale) | https://arxiv.org/abs/2009.13592v4 | APM | 51.5 |
16k > Object Detection | COCO test-dev | aLRP Loss (ResNext-101-64x4d, DCN, single scale) | https://arxiv.org/abs/2009.13592v4 | APL | 62.1 |
16k > Object Detection | COCO test-dev | aLRP Loss (ResNext-101-64x4d, DCN, single scale) | https://arxiv.org/abs/2009.13592v4 | Hardware Burden | null |
16k > Object Detection | COCO test-dev | aLRP Loss (ResNext-101-64x4d, DCN, single scale) | https://arxiv.org/abs/2009.13592v4 | Operations per network pass | null |
16k > Object Detection | COCO test-dev | PP-YOLOE-m(CSPRepResNet-m, 640x640, single-scale ) | https://arxiv.org/abs/2203.16250v3 | box mAP | 48.9 |
16k > Object Detection | COCO test-dev | PP-YOLOE-m(CSPRepResNet-m, 640x640, single-scale ) | https://arxiv.org/abs/2203.16250v3 | AP50 | 66.5 |
16k > Object Detection | COCO test-dev | PP-YOLOE-m(CSPRepResNet-m, 640x640, single-scale ) | https://arxiv.org/abs/2203.16250v3 | AP75 | 53.0 |
16k > Object Detection | COCO test-dev | PP-YOLOE-m(CSPRepResNet-m, 640x640, single-scale ) | https://arxiv.org/abs/2203.16250v3 | APS | 28.6 |
16k > Object Detection | COCO test-dev | PP-YOLOE-m(CSPRepResNet-m, 640x640, single-scale ) | https://arxiv.org/abs/2203.16250v3 | APM | 52.9 |
16k > Object Detection | COCO test-dev | PP-YOLOE-m(CSPRepResNet-m, 640x640, single-scale ) | https://arxiv.org/abs/2203.16250v3 | APL | 63.8 |
16k > Object Detection | COCO test-dev | UniverseNet-20.08 (Res2Net-50, DCN, single-scale) | https://arxiv.org/abs/2103.14027v3 | box mAP | 48.8 |
16k > Object Detection | COCO test-dev | UniverseNet-20.08 (Res2Net-50, DCN, single-scale) | https://arxiv.org/abs/2103.14027v3 | AP50 | 67.5 |
16k > Object Detection | COCO test-dev | UniverseNet-20.08 (Res2Net-50, DCN, single-scale) | https://arxiv.org/abs/2103.14027v3 | AP75 | 53.0 |
16k > Object Detection | COCO test-dev | UniverseNet-20.08 (Res2Net-50, DCN, single-scale) | https://arxiv.org/abs/2103.14027v3 | APS | 30.1 |
16k > Object Detection | COCO test-dev | UniverseNet-20.08 (Res2Net-50, DCN, single-scale) | https://arxiv.org/abs/2103.14027v3 | APM | 52.3 |
16k > Object Detection | COCO test-dev | UniverseNet-20.08 (Res2Net-50, DCN, single-scale) | https://arxiv.org/abs/2103.14027v3 | APL | 61.1 |
16k > Object Detection | COCO test-dev | SOLQ (ResNet101, single scale) | https://arxiv.org/abs/2106.02351v3 | box mAP | 48.7 |
16k > Object Detection | COCO test-dev | RetinaNet (SpineNet-96, 1024x1024) | https://arxiv.org/abs/1912.05027v3 | box mAP | 48.6 |
16k > Object Detection | COCO test-dev | RetinaNet (SpineNet-96, 1024x1024) | https://arxiv.org/abs/1912.05027v3 | AP50 | 68.4 |
16k > Object Detection | COCO test-dev | RetinaNet (SpineNet-96, 1024x1024) | https://arxiv.org/abs/1912.05027v3 | AP75 | 52.5 |
16k > Object Detection | COCO test-dev | RetinaNet (SpineNet-96, 1024x1024) | https://arxiv.org/abs/1912.05027v3 | APS | 32 |
16k > Object Detection | COCO test-dev | RetinaNet (SpineNet-96, 1024x1024) | https://arxiv.org/abs/1912.05027v3 | APM | 52.3 |
16k > Object Detection | COCO test-dev | RetinaNet (SpineNet-96, 1024x1024) | https://arxiv.org/abs/1912.05027v3 | APL | 62 |
16k > Object Detection | COCO test-dev | TridentNet (ResNet-101-Deformable, Image Pyramid) | https://arxiv.org/abs/1901.01892v2 | box mAP | 48.4 |
16k > Object Detection | COCO test-dev | TridentNet (ResNet-101-Deformable, Image Pyramid) | https://arxiv.org/abs/1901.01892v2 | AP50 | 69.7 |
16k > Object Detection | COCO test-dev | TridentNet (ResNet-101-Deformable, Image Pyramid) | https://arxiv.org/abs/1901.01892v2 | AP75 | 53.5 |
16k > Object Detection | COCO test-dev | TridentNet (ResNet-101-Deformable, Image Pyramid) | https://arxiv.org/abs/1901.01892v2 | APS | 31.8 |
16k > Object Detection | COCO test-dev | TridentNet (ResNet-101-Deformable, Image Pyramid) | https://arxiv.org/abs/1901.01892v2 | APM | 51.3 |
16k > Object Detection | COCO test-dev | TridentNet (ResNet-101-Deformable, Image Pyramid) | https://arxiv.org/abs/1901.01892v2 | APL | 60.3 |
16k > Object Detection | COCO test-dev | TridentNet (ResNet-101-Deformable, Image Pyramid) | https://arxiv.org/abs/1901.01892v2 | Hardware Burden | null |
16k > Object Detection | COCO test-dev | TridentNet (ResNet-101-Deformable, Image Pyramid) | https://arxiv.org/abs/1901.01892v2 | Operations per network pass | null |
16k > Object Detection | COCO test-dev | GCNet (ResNeXt-101 + DCN + cascade + GC r4) | http://arxiv.org/abs/1904.11492v1 | box mAP | 48.4 |
16k > Object Detection | COCO test-dev | GCNet (ResNeXt-101 + DCN + cascade + GC r4) | http://arxiv.org/abs/1904.11492v1 | AP50 | 67.6 |
16k > Object Detection | COCO test-dev | GCNet (ResNeXt-101 + DCN + cascade + GC r4) | http://arxiv.org/abs/1904.11492v1 | AP75 | 52.7 |
16k > Object Detection | COCO test-dev | GCNet (ResNeXt-101 + DCN + cascade + GC r4) | http://arxiv.org/abs/1904.11492v1 | Hardware Burden | null |
16k > Object Detection | COCO test-dev | GCNet (ResNeXt-101 + DCN + cascade + GC r4) | http://arxiv.org/abs/1904.11492v1 | Operations per network pass | 54.8G |
16k > Object Detection | COCO test-dev | GFLV2 (ResNet-101-DCN) | https://arxiv.org/abs/2011.12885v1 | box mAP | 48.3 |
16k > Object Detection | COCO test-dev | GFLV2 (ResNet-101-DCN) | https://arxiv.org/abs/2011.12885v1 | AP50 | 66.5 |
16k > Object Detection | COCO test-dev | GFLV2 (ResNet-101-DCN) | https://arxiv.org/abs/2011.12885v1 | AP75 | 52.8 |
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