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 | PP-YOLOE-x(CSPRepResNet-x, 640x640, single-scale ) | https://arxiv.org/abs/2203.16250v3 | AP75 | 56.5 |
16k > Object Detection | COCO test-dev | PP-YOLOE-x(CSPRepResNet-x, 640x640, single-scale ) | https://arxiv.org/abs/2203.16250v3 | APS | 33.3 |
16k > Object Detection | COCO test-dev | PP-YOLOE-x(CSPRepResNet-x, 640x640, single-scale ) | https://arxiv.org/abs/2203.16250v3 | APM | 56.3 |
16k > Object Detection | COCO test-dev | PP-YOLOE-x(CSPRepResNet-x, 640x640, single-scale ) | https://arxiv.org/abs/2203.16250v3 | APL | 66.4 |
16k > Object Detection | COCO test-dev | RetinaNet (SpineNet-190, 1280x1280) | https://arxiv.org/abs/1912.05027v3 | box mAP | 52.1 |
16k > Object Detection | COCO test-dev | RetinaNet (SpineNet-190, 1280x1280) | https://arxiv.org/abs/1912.05027v3 | AP50 | 71.8 |
16k > Object Detection | COCO test-dev | RetinaNet (SpineNet-190, 1280x1280) | https://arxiv.org/abs/1912.05027v3 | AP75 | 56.5 |
16k > Object Detection | COCO test-dev | RetinaNet (SpineNet-190, 1280x1280) | https://arxiv.org/abs/1912.05027v3 | APS | 35.4 |
16k > Object Detection | COCO test-dev | RetinaNet (SpineNet-190, 1280x1280) | https://arxiv.org/abs/1912.05027v3 | APM | 55 |
16k > Object Detection | COCO test-dev | RetinaNet (SpineNet-190, 1280x1280) | https://arxiv.org/abs/1912.05027v3 | APL | 63.6 |
16k > Object Detection | COCO test-dev | RepPoints v2 (ResNeXt-101, DCN, multi-scale) | https://arxiv.org/abs/2007.08508v1 | box mAP | 52.1 |
16k > Object Detection | COCO test-dev | RepPoints v2 (ResNeXt-101, DCN, multi-scale) | https://arxiv.org/abs/2007.08508v1 | AP50 | 70.1 |
16k > Object Detection | COCO test-dev | RepPoints v2 (ResNeXt-101, DCN, multi-scale) | https://arxiv.org/abs/2007.08508v1 | AP75 | 57.5 |
16k > Object Detection | COCO test-dev | RepPoints v2 (ResNeXt-101, DCN, multi-scale) | https://arxiv.org/abs/2007.08508v1 | APS | 34.5 |
16k > Object Detection | COCO test-dev | RepPoints v2 (ResNeXt-101, DCN, multi-scale) | https://arxiv.org/abs/2007.08508v1 | APM | 54.6 |
16k > Object Detection | COCO test-dev | RepPoints v2 (ResNeXt-101, DCN, multi-scale) | https://arxiv.org/abs/2007.08508v1 | APL | 63.6 |
16k > Object Detection | COCO test-dev | RepPoints v2 (ResNeXt-101, DCN, multi-scale) | https://arxiv.org/abs/2007.08508v1 | Hardware Burden | null |
16k > Object Detection | COCO test-dev | RepPoints v2 (ResNeXt-101, DCN, multi-scale) | https://arxiv.org/abs/2007.08508v1 | Operations per network pass | null |
16k > Object Detection | COCO test-dev | AC-FPN Cascade R-CNN (X-152-32x8d-FPN-IN5k, multi scale, only CEM) | https://arxiv.org/abs/2005.11475v1 | box mAP | 51.9 |
16k > Object Detection | COCO test-dev | AC-FPN Cascade R-CNN (X-152-32x8d-FPN-IN5k, multi scale, only CEM) | https://arxiv.org/abs/2005.11475v1 | AP50 | 70.4 |
16k > Object Detection | COCO test-dev | AC-FPN Cascade R-CNN (X-152-32x8d-FPN-IN5k, multi scale, only CEM) | https://arxiv.org/abs/2005.11475v1 | AP75 | 57 |
16k > Object Detection | COCO test-dev | AC-FPN Cascade R-CNN (X-152-32x8d-FPN-IN5k, multi scale, only CEM) | https://arxiv.org/abs/2005.11475v1 | APS | 34.2 |
16k > Object Detection | COCO test-dev | AC-FPN Cascade R-CNN (X-152-32x8d-FPN-IN5k, multi scale, only CEM) | https://arxiv.org/abs/2005.11475v1 | APM | 54.8 |
16k > Object Detection | COCO test-dev | AC-FPN Cascade R-CNN (X-152-32x8d-FPN-IN5k, multi scale, only CEM) | https://arxiv.org/abs/2005.11475v1 | APL | 64.7 |
16k > Object Detection | COCO test-dev | AC-FPN Cascade R-CNN (X-152-32x8d-FPN-IN5k, multi scale, only CEM) | https://arxiv.org/abs/2005.11475v1 | Hardware Burden | null |
16k > Object Detection | COCO test-dev | AC-FPN Cascade R-CNN (X-152-32x8d-FPN-IN5k, multi scale, only CEM) | https://arxiv.org/abs/2005.11475v1 | Operations per network pass | null |
16k > Object Detection | COCO test-dev | OTA (ResNeXt-101+DCN, multiscale) | https://arxiv.org/abs/2103.14259v1 | box mAP | 51.5 |
16k > Object Detection | COCO test-dev | OTA (ResNeXt-101+DCN, multiscale) | https://arxiv.org/abs/2103.14259v1 | AP50 | 68.6 |
16k > Object Detection | COCO test-dev | OTA (ResNeXt-101+DCN, multiscale) | https://arxiv.org/abs/2103.14259v1 | AP75 | 57.1 |
16k > Object Detection | COCO test-dev | OTA (ResNeXt-101+DCN, multiscale) | https://arxiv.org/abs/2103.14259v1 | APS | 34.1 |
16k > Object Detection | COCO test-dev | OTA (ResNeXt-101+DCN, multiscale) | https://arxiv.org/abs/2103.14259v1 | APM | 53.7 |
16k > Object Detection | COCO test-dev | OTA (ResNeXt-101+DCN, multiscale) | https://arxiv.org/abs/2103.14259v1 | APL | 64.1 |
16k > Object Detection | COCO test-dev | OTA (ResNeXt-101+DCN, multiscale) | https://arxiv.org/abs/2103.14259v1 | Hardware Burden | null |
16k > Object Detection | COCO test-dev | OTA (ResNeXt-101+DCN, multiscale) | https://arxiv.org/abs/2103.14259v1 | Operations per network pass | null |
16k > Object Detection | COCO test-dev | YOLOX-x(Modified CSP v5, 640x640, single-scale) | https://arxiv.org/abs/2107.08430v2 | box mAP | 51.5 |
16k > Object Detection | COCO test-dev | PP-YOLOE-l(CSPRepResNet-l, 640x640, single-scale ) | https://arxiv.org/abs/2203.16250v3 | box mAP | 51.4 |
16k > Object Detection | COCO test-dev | PP-YOLOE-l(CSPRepResNet-l, 640x640, single-scale ) | https://arxiv.org/abs/2203.16250v3 | AP50 | 68.9 |
16k > Object Detection | COCO test-dev | PP-YOLOE-l(CSPRepResNet-l, 640x640, single-scale ) | https://arxiv.org/abs/2203.16250v3 | AP75 | 55.6 |
16k > Object Detection | COCO test-dev | PP-YOLOE-l(CSPRepResNet-l, 640x640, single-scale ) | https://arxiv.org/abs/2203.16250v3 | APS | 31.4 |
16k > Object Detection | COCO test-dev | PP-YOLOE-l(CSPRepResNet-l, 640x640, single-scale ) | https://arxiv.org/abs/2203.16250v3 | APM | 55.3 |
16k > Object Detection | COCO test-dev | PP-YOLOE-l(CSPRepResNet-l, 640x640, single-scale ) | https://arxiv.org/abs/2203.16250v3 | APL | 66.1 |
16k > Object Detection | COCO test-dev | YOLOv7 (161 fps) | https://arxiv.org/abs/2207.02696v1 | box mAP | 51.4 |
16k > Object Detection | COCO test-dev | UniverseNet-20.08d (Res2Net-101, DCN, single-scale) | https://arxiv.org/abs/2103.14027v3 | box mAP | 51.3 |
16k > Object Detection | COCO test-dev | UniverseNet-20.08d (Res2Net-101, DCN, single-scale) | https://arxiv.org/abs/2103.14027v3 | AP50 | 70.0 |
16k > Object Detection | COCO test-dev | UniverseNet-20.08d (Res2Net-101, DCN, single-scale) | https://arxiv.org/abs/2103.14027v3 | AP75 | 55.8 |
16k > Object Detection | COCO test-dev | UniverseNet-20.08d (Res2Net-101, DCN, single-scale) | https://arxiv.org/abs/2103.14027v3 | APS | 31.7 |
16k > Object Detection | COCO test-dev | UniverseNet-20.08d (Res2Net-101, DCN, single-scale) | https://arxiv.org/abs/2103.14027v3 | APM | 55.3 |
16k > Object Detection | COCO test-dev | UniverseNet-20.08d (Res2Net-101, DCN, single-scale) | https://arxiv.org/abs/2103.14027v3 | APL | 64.9 |
16k > Object Detection | COCO test-dev | TSD(SENet154-DCN,multi-scale) | https://arxiv.org/abs/2003.07540v1 | box mAP | 51.2 |
16k > Object Detection | COCO test-dev | TSD(SENet154-DCN,multi-scale) | https://arxiv.org/abs/2003.07540v1 | AP50 | 71.9 |
16k > Object Detection | COCO test-dev | TSD(SENet154-DCN,multi-scale) | https://arxiv.org/abs/2003.07540v1 | AP75 | 56.0 |
16k > Object Detection | COCO test-dev | TSD(SENet154-DCN,multi-scale) | https://arxiv.org/abs/2003.07540v1 | APS | 33.8 |
16k > Object Detection | COCO test-dev | TSD(SENet154-DCN,multi-scale) | https://arxiv.org/abs/2003.07540v1 | APM | 54.8 |
16k > Object Detection | COCO test-dev | TSD(SENet154-DCN,multi-scale) | https://arxiv.org/abs/2003.07540v1 | APL | 64.2 |
16k > Object Detection | COCO test-dev | TSD(SENet154-DCN,multi-scale) | https://arxiv.org/abs/2003.07540v1 | Hardware Burden | null |
16k > Object Detection | COCO test-dev | TSD(SENet154-DCN,multi-scale) | https://arxiv.org/abs/2003.07540v1 | Operations per network pass | null |
16k > Object Detection | COCO test-dev | YOLOX-X (Modified CSP v5) | https://arxiv.org/abs/2107.08430v2 | box mAP | 51.2 |
16k > Object Detection | COCO test-dev | YOLOX-X (Modified CSP v5) | https://arxiv.org/abs/2107.08430v2 | AP50 | 69.6 |
16k > Object Detection | COCO test-dev | YOLOX-X (Modified CSP v5) | https://arxiv.org/abs/2107.08430v2 | AP75 | 55.7 |
16k > Object Detection | COCO test-dev | YOLOX-X (Modified CSP v5) | https://arxiv.org/abs/2107.08430v2 | APS | 31.2 |
16k > Object Detection | COCO test-dev | YOLOX-X (Modified CSP v5) | https://arxiv.org/abs/2107.08430v2 | APM | 56.1 |
16k > Object Detection | COCO test-dev | YOLOX-X (Modified CSP v5) | https://arxiv.org/abs/2107.08430v2 | APL | 66.1 |
16k > Object Detection | COCO test-dev | YOLOX-X (Modified CSP v5) | https://arxiv.org/abs/2107.08430v2 | Params (M) | 99.1 |
16k > Object Detection | COCO test-dev | iBOT (ViT-B/16) | https://arxiv.org/abs/2111.07832v3 | box mAP | 51.2 |
16k > Object Detection | COCO test-dev | RetinaNet (SpineNet-143, 1280x1280) | https://arxiv.org/abs/1912.05027v3 | box mAP | 50.7 |
16k > Object Detection | COCO test-dev | RetinaNet (SpineNet-143, 1280x1280) | https://arxiv.org/abs/1912.05027v3 | AP50 | 70.4 |
16k > Object Detection | COCO test-dev | RetinaNet (SpineNet-143, 1280x1280) | https://arxiv.org/abs/1912.05027v3 | AP75 | 54.9 |
16k > Object Detection | COCO test-dev | RetinaNet (SpineNet-143, 1280x1280) | https://arxiv.org/abs/1912.05027v3 | APS | 33.6 |
16k > Object Detection | COCO test-dev | RetinaNet (SpineNet-143, 1280x1280) | https://arxiv.org/abs/1912.05027v3 | APM | 53.9 |
16k > Object Detection | COCO test-dev | RetinaNet (SpineNet-143, 1280x1280) | https://arxiv.org/abs/1912.05027v3 | APL | 62.1 |
16k > Object Detection | COCO test-dev | ATSS (ResNetXt-64x4d-101+DCN,multi-scale) | https://arxiv.org/abs/1912.02424v4 | box mAP | 50.7 |
16k > Object Detection | COCO test-dev | ATSS (ResNetXt-64x4d-101+DCN,multi-scale) | https://arxiv.org/abs/1912.02424v4 | AP50 | 68.9 |
16k > Object Detection | COCO test-dev | ATSS (ResNetXt-64x4d-101+DCN,multi-scale) | https://arxiv.org/abs/1912.02424v4 | AP75 | 56.3 |
16k > Object Detection | COCO test-dev | ATSS (ResNetXt-64x4d-101+DCN,multi-scale) | https://arxiv.org/abs/1912.02424v4 | APS | 33.2 |
16k > Object Detection | COCO test-dev | ATSS (ResNetXt-64x4d-101+DCN,multi-scale) | https://arxiv.org/abs/1912.02424v4 | APM | 52.9 |
16k > Object Detection | COCO test-dev | ATSS (ResNetXt-64x4d-101+DCN,multi-scale) | https://arxiv.org/abs/1912.02424v4 | APL | 62.4 |
16k > Object Detection | COCO test-dev | ATSS (ResNetXt-64x4d-101+DCN,multi-scale) | https://arxiv.org/abs/1912.02424v4 | Hardware Burden | null |
16k > Object Detection | COCO test-dev | ATSS (ResNetXt-64x4d-101+DCN,multi-scale) | https://arxiv.org/abs/1912.02424v4 | Operations per network pass | null |
16k > Object Detection | COCO test-dev | NAS-FPN (AmoebaNet-D, learned aug) | https://arxiv.org/abs/1906.11172v1 | box mAP | 50.7 |
16k > Object Detection | COCO test-dev | NAS-FPN (AmoebaNet-D, learned aug) | https://arxiv.org/abs/1906.11172v1 | APS | 34.2 |
16k > Object Detection | COCO test-dev | NAS-FPN (AmoebaNet-D, learned aug) | https://arxiv.org/abs/1906.11172v1 | APM | 55.5 |
16k > Object Detection | COCO test-dev | NAS-FPN (AmoebaNet-D, learned aug) | https://arxiv.org/abs/1906.11172v1 | APL | 64.5 |
16k > Object Detection | COCO test-dev | Boosting R-CNN* | https://arxiv.org/abs/2206.13728v3 | box mAP | 50.7 |
16k > Object Detection | COCO test-dev | GFLV2 (Res2Net-101, DCN) | https://arxiv.org/abs/2011.12885v1 | box mAP | 50.6 |
16k > Object Detection | COCO test-dev | GFLV2 (Res2Net-101, DCN) | https://arxiv.org/abs/2011.12885v1 | AP50 | 69 |
16k > Object Detection | COCO test-dev | GFLV2 (Res2Net-101, DCN) | https://arxiv.org/abs/2011.12885v1 | AP75 | 55.3 |
16k > Object Detection | COCO test-dev | GFLV2 (Res2Net-101, DCN) | https://arxiv.org/abs/2011.12885v1 | APS | 31.3 |
16k > Object Detection | COCO test-dev | GFLV2 (Res2Net-101, DCN) | https://arxiv.org/abs/2011.12885v1 | APM | 54.3 |
16k > Object Detection | COCO test-dev | GFLV2 (Res2Net-101, DCN) | https://arxiv.org/abs/2011.12885v1 | APL | 63.5 |
16k > Object Detection | COCO test-dev | GFLV2 (Res2Net-101, DCN) | https://arxiv.org/abs/2011.12885v1 | Hardware Burden | null |
16k > Object Detection | COCO test-dev | GFLV2 (Res2Net-101, DCN) | https://arxiv.org/abs/2011.12885v1 | Operations per network pass | null |
16k > Object Detection | COCO test-dev | aLRP Loss (ResNext-101-64x4d, DCN, multiscale test) | https://arxiv.org/abs/2009.13592v4 | box mAP | 50.2 |
16k > Object Detection | COCO test-dev | aLRP Loss (ResNext-101-64x4d, DCN, multiscale test) | https://arxiv.org/abs/2009.13592v4 | AP50 | 70.3 |
16k > Object Detection | COCO test-dev | aLRP Loss (ResNext-101-64x4d, DCN, multiscale test) | https://arxiv.org/abs/2009.13592v4 | AP75 | 53.9 |
16k > Object Detection | COCO test-dev | aLRP Loss (ResNext-101-64x4d, DCN, multiscale test) | https://arxiv.org/abs/2009.13592v4 | APS | 32.0 |
16k > Object Detection | COCO test-dev | aLRP Loss (ResNext-101-64x4d, DCN, multiscale test) | https://arxiv.org/abs/2009.13592v4 | APM | 53.1 |
16k > Object Detection | COCO test-dev | aLRP Loss (ResNext-101-64x4d, DCN, multiscale test) | https://arxiv.org/abs/2009.13592v4 | APL | 63.0 |
16k > Object Detection | COCO test-dev | aLRP Loss (ResNext-101-64x4d, DCN, multiscale test) | https://arxiv.org/abs/2009.13592v4 | Hardware Burden | null |
16k > Object Detection | COCO test-dev | aLRP Loss (ResNext-101-64x4d, DCN, multiscale test) | https://arxiv.org/abs/2009.13592v4 | Operations per network pass | null |
16k > Object Detection | COCO test-dev | FreeAnchor + SEPC (DCN, ResNext-101-64x4d) | https://arxiv.org/abs/2005.03101v1 | box mAP | 50.1 |
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