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 minival | Mask R-CNN (HRNetV2p-W32) | https://arxiv.org/abs/1908.07919v2 | APS | 25.0 |
16k > Object Detection | COCO minival | Mask R-CNN (HRNetV2p-W32) | https://arxiv.org/abs/1908.07919v2 | APM | 45.4 |
16k > Object Detection | COCO minival | DETR-ResNet50 with iRPE-K (300 epochs) | https://arxiv.org/abs/2107.14222v1 | box AP | 42.3 |
16k > Object Detection | COCO minival | TridentNet (ResNet-101) | https://arxiv.org/abs/1901.01892v2 | box AP | 42 |
16k > Object Detection | COCO minival | TridentNet (ResNet-101) | https://arxiv.org/abs/1901.01892v2 | AP50 | 63.5 |
16k > Object Detection | COCO minival | TridentNet (ResNet-101) | https://arxiv.org/abs/1901.01892v2 | AP75 | 45.5 |
16k > Object Detection | COCO minival | TridentNet (ResNet-101) | https://arxiv.org/abs/1901.01892v2 | APS | 24.9 |
16k > Object Detection | COCO minival | TridentNet (ResNet-101) | https://arxiv.org/abs/1901.01892v2 | APM | 47 |
16k > Object Detection | COCO minival | TridentNet (ResNet-101) | https://arxiv.org/abs/1901.01892v2 | APL | 56.9 |
16k > Object Detection | COCO minival | R3-CNN (ResNet-50-FPN) | https://arxiv.org/abs/2104.01329v2 | box AP | 42 |
16k > Object Detection | COCO minival | R3-CNN (ResNet-50-FPN) | https://arxiv.org/abs/2104.01329v2 | AP50 | 61 |
16k > Object Detection | COCO minival | R3-CNN (ResNet-50-FPN) | https://arxiv.org/abs/2104.01329v2 | AP75 | 46.3 |
16k > Object Detection | COCO minival | R3-CNN (ResNet-50-FPN) | https://arxiv.org/abs/2104.01329v2 | APS | 24.5 |
16k > Object Detection | COCO minival | R3-CNN (ResNet-50-FPN) | https://arxiv.org/abs/2104.01329v2 | APM | 45.2 |
16k > Object Detection | COCO minival | R3-CNN (ResNet-50-FPN) | https://arxiv.org/abs/2104.01329v2 | APL | 55.7 |
16k > Object Detection | COCO minival | Faster R-CNN (HRNetV2p-W48) | https://arxiv.org/abs/1908.07919v2 | box AP | 41.8 |
16k > Object Detection | COCO minival | Faster R-CNN (HRNetV2p-W48) | https://arxiv.org/abs/1908.07919v2 | AP50 | 62.8 |
16k > Object Detection | COCO minival | Faster R-CNN (HRNetV2p-W48) | https://arxiv.org/abs/1908.07919v2 | AP75 | 45.9 |
16k > Object Detection | COCO minival | Faster R-CNN (HRNetV2p-W48) | https://arxiv.org/abs/1908.07919v2 | APM | 44.7 |
16k > Object Detection | COCO minival | Faster R-CNN (HRNetV2p-W48) | https://arxiv.org/abs/1908.07919v2 | APL | 54.6 |
16k > Object Detection | COCO minival | Faster R-CNN (LIP-ResNet-101) | https://arxiv.org/abs/1908.04156v3 | box AP | 41.7 |
16k > Object Detection | COCO minival | Faster R-CNN (LIP-ResNet-101) | https://arxiv.org/abs/1908.04156v3 | AP50 | 63.6 |
16k > Object Detection | COCO minival | Faster R-CNN (LIP-ResNet-101) | https://arxiv.org/abs/1908.04156v3 | AP75 | 45.6 |
16k > Object Detection | COCO minival | Faster R-CNN (LIP-ResNet-101) | https://arxiv.org/abs/1908.04156v3 | APS | 25.2 |
16k > Object Detection | COCO minival | Faster R-CNN (LIP-ResNet-101) | https://arxiv.org/abs/1908.04156v3 | APM | 45.8 |
16k > Object Detection | COCO minival | Faster R-CNN (ResNet-101, DCNv2) | http://arxiv.org/abs/1811.11168v2 | box AP | 41.7 |
16k > Object Detection | COCO minival | Faster R-CNN (ResNet-101, DCNv2) | http://arxiv.org/abs/1811.11168v2 | APS | 22.2 |
16k > Object Detection | COCO minival | Faster R-CNN (ResNet-101, DCNv2) | http://arxiv.org/abs/1811.11168v2 | APM | 45.8 |
16k > Object Detection | COCO minival | Faster R-CNN (ResNet-101, DCNv2) | http://arxiv.org/abs/1811.11168v2 | APL | 58.7 |
16k > Object Detection | COCO minival | FSAF (ResNeXt-101, anchor-based branches) | http://arxiv.org/abs/1903.00621v1 | box AP | 41.6 |
16k > Object Detection | COCO minival | FSAF (ResNeXt-101, anchor-based branches) | http://arxiv.org/abs/1903.00621v1 | AP50 | 62.4 |
16k > Object Detection | COCO minival | CornerNet-Saccade (Hourglass-104) | https://arxiv.org/abs/1904.08900v2 | box AP | 41.4 |
16k > Object Detection | COCO minival | CornerNet-Saccade (Hourglass-104) | https://arxiv.org/abs/1904.08900v2 | APS | 23.8 |
16k > Object Detection | COCO minival | CornerNet-Saccade (Hourglass-104) | https://arxiv.org/abs/1904.08900v2 | APM | 43.5 |
16k > Object Detection | COCO minival | CornerNet-Saccade (Hourglass-104) | https://arxiv.org/abs/1904.08900v2 | APL | 57.1 |
16k > Object Detection | COCO minival | Grid R-CNN (ResNet-101-FPN) | http://arxiv.org/abs/1811.12030v1 | box AP | 41.3 |
16k > Object Detection | COCO minival | Grid R-CNN (ResNet-101-FPN) | http://arxiv.org/abs/1811.12030v1 | AP50 | 60.3 |
16k > Object Detection | COCO minival | Grid R-CNN (ResNet-101-FPN) | http://arxiv.org/abs/1811.12030v1 | AP75 | 44.4 |
16k > Object Detection | COCO minival | Grid R-CNN (ResNet-101-FPN) | http://arxiv.org/abs/1811.12030v1 | APS | 23.4 |
16k > Object Detection | COCO minival | Grid R-CNN (ResNet-101-FPN) | http://arxiv.org/abs/1811.12030v1 | APM | 45.8 |
16k > Object Detection | COCO minival | Grid R-CNN (ResNet-101-FPN) | http://arxiv.org/abs/1811.12030v1 | APL | 54.1 |
16k > Object Detection | COCO minival | Cascade R-CNN (HRNetV2p-W18) | https://arxiv.org/abs/1908.07919v2 | box AP | 41.3 |
16k > Object Detection | COCO minival | Cascade R-CNN (HRNetV2p-W18) | https://arxiv.org/abs/1908.07919v2 | AP50 | 59.2 |
16k > Object Detection | COCO minival | Cascade R-CNN (HRNetV2p-W18) | https://arxiv.org/abs/1908.07919v2 | AP75 | 44.9 |
16k > Object Detection | COCO minival | Cascade R-CNN (HRNetV2p-W18) | https://arxiv.org/abs/1908.07919v2 | APS | 23.7 |
16k > Object Detection | COCO minival | Cascade R-CNN (HRNetV2p-W18) | https://arxiv.org/abs/1908.07919v2 | APM | 44.2 |
16k > Object Detection | COCO minival | Cascade R-CNN (HRNetV2p-W18) | https://arxiv.org/abs/1908.07919v2 | APL | 54.1 |
16k > Object Detection | COCO minival | CenterNet511 (Hourglass-52) | http://arxiv.org/abs/1904.08189v3 | box AP | 41.3 |
16k > Object Detection | COCO minival | CenterNet511 (Hourglass-52) | http://arxiv.org/abs/1904.08189v3 | AP50 | 59.2 |
16k > Object Detection | COCO minival | CenterNet511 (Hourglass-52) | http://arxiv.org/abs/1904.08189v3 | AP75 | 43.9 |
16k > Object Detection | COCO minival | CenterNet511 (Hourglass-52) | http://arxiv.org/abs/1904.08189v3 | APS | 23.6 |
16k > Object Detection | COCO minival | CenterNet511 (Hourglass-52) | http://arxiv.org/abs/1904.08189v3 | APM | 43.8 |
16k > Object Detection | COCO minival | CenterNet511 (Hourglass-52) | http://arxiv.org/abs/1904.08189v3 | APL | 55.8 |
16k > Object Detection | COCO minival | RetinaMask (ResNet-101-FPN) | http://arxiv.org/abs/1901.03353v1 | box AP | 41.1 |
16k > Object Detection | COCO minival | RetinaMask (ResNet-101-FPN) | http://arxiv.org/abs/1901.03353v1 | AP50 | 60.2 |
16k > Object Detection | COCO minival | RetinaMask (ResNet-101-FPN) | http://arxiv.org/abs/1901.03353v1 | AP75 | 44.1 |
16k > Object Detection | COCO minival | PoolFormer-S36 (Mask R-CNN) | https://arxiv.org/abs/2111.11418v3 | box AP | 41.0 |
16k > Object Detection | COCO minival | PoolFormer-S36 (Mask R-CNN) | https://arxiv.org/abs/2111.11418v3 | AP50 | 63.1 |
16k > Object Detection | COCO minival | PoolFormer-S36 (Mask R-CNN) | https://arxiv.org/abs/2111.11418v3 | AP75 | 44.8 |
16k > Object Detection | COCO minival | Faster R-CNN (HRNetV2p-W32) | https://arxiv.org/abs/1908.07919v2 | box AP | 40.9 |
16k > Object Detection | COCO minival | Faster R-CNN (HRNetV2p-W32) | https://arxiv.org/abs/1908.07919v2 | AP50 | 61.8 |
16k > Object Detection | COCO minival | Faster R-CNN (HRNetV2p-W32) | https://arxiv.org/abs/1908.07919v2 | AP75 | 44.8 |
16k > Object Detection | COCO minival | Faster R-CNN (HRNetV2p-W32) | https://arxiv.org/abs/1908.07919v2 | APS | 24.4 |
16k > Object Detection | COCO minival | Faster R-CNN (HRNetV2p-W32) | https://arxiv.org/abs/1908.07919v2 | APM | 43.7 |
16k > Object Detection | COCO minival | Faster R-CNN (HRNetV2p-W32) | https://arxiv.org/abs/1908.07919v2 | APL | 53.3 |
16k > Object Detection | COCO minival | VirTex Mask R-CNN (ResNet-50-FPN) | https://arxiv.org/abs/2006.06666v3 | box AP | 40.9 |
16k > Object Detection | COCO minival | Mask R-CNN (ResNet-101 + 1 NL) | http://arxiv.org/abs/1711.07971v3 | box AP | 40.8 |
16k > Object Detection | COCO minival | Mask R-CNN (ResNet-101 + 1 NL) | http://arxiv.org/abs/1711.07971v3 | AP50 | 63.1 |
16k > Object Detection | COCO minival | Mask R-CNN (ResNet-101 + 1 NL) | http://arxiv.org/abs/1711.07971v3 | AP75 | 44.5 |
16k > Object Detection | COCO minival | Mask R-CNN (ResNet-50-FPN, GroupNorm, long) | http://arxiv.org/abs/1803.08494v3 | box AP | 40.8 |
16k > Object Detection | COCO minival | Mask R-CNN (ResNet-50-FPN, GroupNorm, long) | http://arxiv.org/abs/1803.08494v3 | AP50 | 61.6 |
16k > Object Detection | COCO minival | Mask R-CNN (ResNet-50-FPN, GroupNorm, long) | http://arxiv.org/abs/1803.08494v3 | AP75 | 44.4 |
16k > Object Detection | COCO minival | RPDet (ResNet-50, multi-scale train) | https://arxiv.org/abs/1904.11490v2 | box AP | 40.8 |
16k > Object Detection | COCO minival | DETR-ResNet50 with iRPE-K (150 epochs) | https://arxiv.org/abs/2107.14222v1 | box AP | 40.8 |
16k > Object Detection | COCO minival | Faster R-CNN+aLRP Loss (ResNet-50, 500 scale) | https://arxiv.org/abs/2009.13592v4 | box AP | 40.7 |
16k > Object Detection | COCO minival | Faster R-CNN+aLRP Loss (ResNet-50, 500 scale) | https://arxiv.org/abs/2009.13592v4 | AP50 | 60.7 |
16k > Object Detection | COCO minival | Faster R-CNN+aLRP Loss (ResNet-50, 500 scale) | https://arxiv.org/abs/2009.13592v4 | AP75 | 43.3 |
16k > Object Detection | COCO minival | PPDet (ResNet-101-FPN) | https://arxiv.org/abs/2008.01167v2 | box AP | 40.5 |
16k > Object Detection | COCO minival | PPDet (ResNet-101-FPN) | https://arxiv.org/abs/2008.01167v2 | AP50 | 59.5 |
16k > Object Detection | COCO minival | PPDet (ResNet-101-FPN) | https://arxiv.org/abs/2008.01167v2 | AP75 | 44.2 |
16k > Object Detection | COCO minival | PPDet (ResNet-101-FPN) | https://arxiv.org/abs/2008.01167v2 | APS | 25.4 |
16k > Object Detection | COCO minival | PPDet (ResNet-101-FPN) | https://arxiv.org/abs/2008.01167v2 | APM | 44.7 |
16k > Object Detection | COCO minival | PPDet (ResNet-101-FPN) | https://arxiv.org/abs/2008.01167v2 | APL | 52.3 |
16k > Object Detection | COCO minival | GCnet (ResNet-50-FPN, GRoIE) | http://arxiv.org/abs/1904.11492v1 | box AP | 40.3 |
16k > Object Detection | COCO minival | GCnet (ResNet-50-FPN, GRoIE) | http://arxiv.org/abs/1904.11492v1 | AP50 | 62.4 |
16k > Object Detection | COCO minival | GCnet (ResNet-50-FPN, GRoIE) | http://arxiv.org/abs/1904.11492v1 | AP75 | 44 |
16k > Object Detection | COCO minival | GCnet (ResNet-50-FPN, GRoIE) | http://arxiv.org/abs/1904.11492v1 | APS | 24.2 |
16k > Object Detection | COCO minival | GCnet (ResNet-50-FPN, GRoIE) | http://arxiv.org/abs/1904.11492v1 | APM | 44.4 |
16k > Object Detection | COCO minival | GCnet (ResNet-50-FPN, GRoIE) | http://arxiv.org/abs/1904.11492v1 | APL | 52.5 |
16k > Object Detection | COCO minival | Mask R-CNN (ResNet-50-FPN, GroupNorm) | http://arxiv.org/abs/1803.08494v3 | box AP | 40.3 |
16k > Object Detection | COCO minival | Mask R-CNN (ResNet-50-FPN, GroupNorm) | http://arxiv.org/abs/1803.08494v3 | AP50 | 61 |
16k > Object Detection | COCO minival | Mask R-CNN (ResNet-50-FPN, GroupNorm) | http://arxiv.org/abs/1803.08494v3 | AP75 | 44 |
16k > Object Detection | COCO minival | Cascade R-CNN (ResNet-50-FPN+) | http://arxiv.org/abs/1712.00726v1 | box AP | 40.3 |
16k > Object Detection | COCO minival | Cascade R-CNN (ResNet-50-FPN+) | http://arxiv.org/abs/1712.00726v1 | AP50 | 59.4 |
16k > Object Detection | COCO minival | Cascade R-CNN (ResNet-50-FPN+) | http://arxiv.org/abs/1712.00726v1 | AP75 | 43.7 |
16k > Object Detection | COCO minival | Cascade R-CNN (ResNet-50-FPN+) | http://arxiv.org/abs/1712.00726v1 | APS | 22.9 |
16k > Object Detection | COCO minival | Cascade R-CNN (ResNet-50-FPN+) | http://arxiv.org/abs/1712.00726v1 | APM | 43.7 |
16k > Object Detection | COCO minival | Cascade R-CNN (ResNet-50-FPN+) | http://arxiv.org/abs/1712.00726v1 | APL | 54.1 |
16k > Object Detection | COCO minival | ExtremeNet (Hourglass-104, single-scale) | http://arxiv.org/abs/1901.08043v3 | box AP | 40.3 |
16k > Object Detection | COCO minival | ExtremeNet (Hourglass-104, single-scale) | http://arxiv.org/abs/1901.08043v3 | AP50 | 55.1 |
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