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-O | PVTv2-B5
(Mask R-CNN) | https://arxiv.org/abs/2106.13797v7 | Average mAP | 28.2 |
16k > Object Detection | COCO-O | PVTv2-B5
(Mask R-CNN) | https://arxiv.org/abs/2106.13797v7 | Effective Robustness | 6.85 |
16k > Object Detection | COCO-O | VFNet
(RX-101-64x4d) | https://arxiv.org/abs/2008.13367v2 | Average mAP | 28.0 |
16k > Object Detection | COCO-O | VFNet
(RX-101-64x4d) | https://arxiv.org/abs/2008.13367v2 | Effective Robustness | 5.27 |
16k > Object Detection | COCO-O | GCNet
(RX-101-32x4d-DCN) | http://arxiv.org/abs/1904.11492v1 | Average mAP | 26.0 |
16k > Object Detection | COCO-O | GCNet
(RX-101-32x4d-DCN) | http://arxiv.org/abs/1904.11492v1 | Effective Robustness | 4.38 |
16k > Object Detection | COCO-O | GFLv2
(R2-101-DCN) | https://arxiv.org/abs/2011.12885v1 | Average mAP | 25.1 |
16k > Object Detection | COCO-O | GFLv2
(R2-101-DCN) | https://arxiv.org/abs/2011.12885v1 | Effective Robustness | 2.6 |
16k > Object Detection | COCO-O | RepPointsV2
(RX-101-64x4d-DCN) | https://arxiv.org/abs/2007.08508v1 | Average mAP | 24.9 |
16k > Object Detection | COCO-O | RepPointsV2
(RX-101-64x4d-DCN) | https://arxiv.org/abs/2007.08508v1 | Effective Robustness | 2.7 |
16k > Object Detection | COCO-O | UniverseNet
(R2-101-DCN) | https://arxiv.org/abs/2103.14027v3 | Average mAP | 24.8 |
16k > Object Detection | COCO-O | YOLOX-S | https://arxiv.org/abs/2107.08430v2 | Average mAP | 20.6 |
16k > Object Detection | COCO-O | YOLOX-S | https://arxiv.org/abs/2107.08430v2 | Effective Robustness | 2.48 |
16k > Object Detection | COCO-O | YOLOS-B
(ViT-B) | https://arxiv.org/abs/2106.00666v3 | Average mAP | 20.0 |
16k > Object Detection | COCO-O | YOLOS-B
(ViT-B) | https://arxiv.org/abs/2106.00666v3 | Effective Robustness | 1.05 |
16k > Object Detection | COCO-O | DyHead
(ResNet-50) | https://arxiv.org/abs/2106.08322v1 | Average mAP | 19.3 |
16k > Object Detection | COCO-O | DyHead
(ResNet-50) | https://arxiv.org/abs/2106.08322v1 | Effective Robustness | 0.16 |
16k > Object Detection | COCO-O | HTC
(ResNet-50) | http://arxiv.org/abs/1901.07518v2 | Average mAP | 19.1 |
16k > Object Detection | COCO-O | HTC
(ResNet-50) | http://arxiv.org/abs/1901.07518v2 | Effective Robustness | 0.08 |
16k > Object Detection | COCO-O | Deformable-DETR
(ResNet-50) | https://arxiv.org/abs/2010.04159v4 | Average mAP | 18.5 |
16k > Object Detection | COCO-O | Deformable-DETR
(ResNet-50) | https://arxiv.org/abs/2010.04159v4 | Effective Robustness | -1.49 |
16k > Object Detection | COCO-O | Cascade R-CNN
(ResNet-50) | https://arxiv.org/abs/1906.09756v1 | Average mAP | 18.2 |
16k > Object Detection | COCO-O | Cascade R-CNN
(ResNet-50) | https://arxiv.org/abs/1906.09756v1 | Effective Robustness | 0.02 |
16k > Object Detection | COCO-O | Mask R-CNN
(ResNet-50) | http://arxiv.org/abs/1703.06870v3 | Average mAP | 17.1 |
16k > Object Detection | COCO-O | DETR
(ResNet-50) | https://arxiv.org/abs/2005.12872v3 | Average mAP | 17.1 |
16k > Object Detection | COCO-O | DETR
(ResNet-50) | https://arxiv.org/abs/2005.12872v3 | Effective Robustness | -1.82 |
16k > Object Detection | COCO-O | ATSS
(ResNet-50) | https://arxiv.org/abs/1912.02424v4 | Average mAP | 16.8 |
16k > Object Detection | COCO-O | ATSS
(ResNet-50) | https://arxiv.org/abs/1912.02424v4 | Effective Robustness | -0.91 |
16k > Object Detection | COCO-O | FCOS
(ResNet-50) | https://arxiv.org/abs/1904.01355v5 | Average mAP | 16.7 |
16k > Object Detection | COCO-O | FCOS
(ResNet-50) | https://arxiv.org/abs/1904.01355v5 | Effective Robustness | 0.25 |
16k > Object Detection | COCO-O | RetinaNet
(ResNet-50) | http://arxiv.org/abs/1708.02002v2 | Average mAP | 16.6 |
16k > Object Detection | COCO-O | RetinaNet
(ResNet-50) | http://arxiv.org/abs/1708.02002v2 | Effective Robustness | 0.18 |
16k > Object Detection | COCO-O | Faster R-CNN (ResNet-50-FPN) | http://arxiv.org/abs/1506.01497v3 | Average mAP | 16.4 |
16k > Object Detection | COCO-O | Faster R-CNN (ResNet-50-FPN) | http://arxiv.org/abs/1506.01497v3 | Effective Robustness | -0.41 |
16k > Object Detection | COCO-O | YOLOv3
(DarkNet-53) | http://arxiv.org/abs/1804.02767v1 | Average mAP | 14.8 |
16k > Object Detection | COCO-O | YOLOv3
(DarkNet-53) | http://arxiv.org/abs/1804.02767v1 | Effective Robustness | -0.37 |
16k > Object Detection | COCO-O | SSD (VGG-16) | http://arxiv.org/abs/1512.02325v5 | Average mAP | 13.6 |
16k > Object Detection | COCO-O | SSD (VGG-16) | http://arxiv.org/abs/1512.02325v5 | Effective Robustness | 0.36 |
16k > Object Detection | COCO-O | ViTDet
(ViT-H) | https://arxiv.org/abs/2203.16527v2 | Effective Robustness | 7.89 |
16k > Object Detection | COCO-O | UniverseNet (R2-101-DCN) | https://arxiv.org/abs/2103.14027v3 | Effective Robustness | 1.86 |
16k > Object Detection | COCO-O | Mask R-CNN (ResNet-50) | http://arxiv.org/abs/1703.06870v3 | Effective Robustness | -0.11 |
16k > Object Detection | OpenImages-v6 | ScaleDet | https://arxiv.org/abs/2306.04849v1 | box AP | 76.2 |
16k > Object Detection | OpenImages-v6 | InternImage-H | https://arxiv.org/abs/2211.05778v4 | box AP | 74.1 |
16k > Object Detection | InOutDoor | MMPedestron | https://arxiv.org/abs/2407.10125v1 | AP | 65.7 |
16k > Object Detection | InOutDoor | ProbEN | https://arxiv.org/abs/2104.02904v3 | AP | 62.4 |
16k > Object Detection | InOutDoor | CMX | https://arxiv.org/abs/2203.04838v5 | AP | 62.3 |
16k > Object Detection | InOutDoor | FPN-Fusion | https://hal.archives-ouvertes.fr/hal-03591717/ | AP | 60.1 |
16k > Object Detection | InOutDoor | HRFuser | https://arxiv.org/abs/2206.15157v3 | AP | 58.6 |
16k > Object Detection | InOutDoor | Early-Fusion | http://arxiv.org/abs/1611.02644v1 | AP | 58.3 |
16k > Object Detection | Extragalactic Planetary Nebulae | PNe within NGC1380 & NGC1404 | https://arxiv.org/abs/2003.10456v2 | Number of sources | 161 |
16k > Object Detection | LLVIP | MiPa | https://arxiv.org/abs/2404.18849v2 | AP | 0.665 |
16k > Object Detection | EventPed | MMPedestron | https://arxiv.org/abs/2407.10125v1 | AP | 79.0 |
16k > Object Detection | EventPed | FPN-Fusion | https://hal.archives-ouvertes.fr/hal-03591717/ | AP | 61.1 |
16k > Object Detection | EventPed | ProEN | https://arxiv.org/abs/2104.02904v3 | AP | 60.1 |
16k > Object Detection | EventPed | CMX | https://arxiv.org/abs/2203.04838v5 | AP | 58.0 |
16k > Object Detection | EventPed | Early-Fusion | http://arxiv.org/abs/1611.02644v1 | AP | 47.4 |
16k > Object Detection | EventPed | HRFuser | https://arxiv.org/abs/2206.15157v3 | AP | 46.0 |
16k > Object Detection | LeukemiaAttri | AttriDet | https://arxiv.org/abs/2405.10803v1 | mAP 50-95 | 28.2 |
16k > Object Detection | LDD | R^3-CNN | https://arxiv.org/abs/2206.10192v1 | box mAP | 22.7 |
16k > Object Detection | KITTI Pedestrians Moderate | Vote3Deep | http://arxiv.org/abs/1609.06666v2 | AP | 55.37 |
16k > Object Detection | SUN-RGBD val | CDSSD | http://arxiv.org/abs/1806.10787v1 | MAP | 7 |
16k > Object Detection | A Dataset of Multispectral Potato Plants Images | Retina-UNet-Ag | https://arxiv.org/abs/2106.07770v3 | Dice Score | 0.74 |
16k > Object Detection | A Dataset of Multispectral Potato Plants Images | Retina-UNet-Ag | https://arxiv.org/abs/2106.07770v3 | Average IOU | 0.589 |
16k > Object Detection | PKU-DDD17-Car | Faster-RCNN | http://arxiv.org/abs/1506.01497v3 | mAP50 | 80.2 |
16k > Object Detection | OoDIS | UGainS | https://arxiv.org/abs/2308.02046v1 | AP | 11.14 |
16k > Object Detection | OoDIS | UGainS | https://arxiv.org/abs/2308.02046v1 | AP50 | 16.75 |
16k > Object Detection | OoDIS | Mask2Anomaly | https://arxiv.org/abs/2307.13316v1 | AP | 1.24 |
16k > Object Detection | OoDIS | Mask2Anomaly | https://arxiv.org/abs/2307.13316v1 | AP50 | 2.23 |
16k > Object Detection | OoDIS | U3HS | https://arxiv.org/abs/2209.05407v4 | AP | 0.16 |
16k > Object Detection | OoDIS | U3HS | https://arxiv.org/abs/2209.05407v4 | AP50 | 0.40 |
16k > Object Detection | CrowdHuman | S-RCNN+Ours | https://arxiv.org/abs/2203.07669v3 | AP | 92.5 |
16k > Object Detection | CrowdHuman | S-RCNN+Ours | https://arxiv.org/abs/2203.07669v3 | MR^-2 | 41.4 |
16k > Object Detection | KITTI Cyclists Hard | Vote3Deep | http://arxiv.org/abs/1609.06666v2 | AP | 62.98 |
16k > Object Detection | Manga109-s 15test | YOLOX-L | https://arxiv.org/abs/2103.14027v3 | COCO-style AP | 70.2 |
16k > Object Detection | Manga109-s 15test | UniverseNet-20.08 | https://arxiv.org/abs/2103.14027v3 | COCO-style AP | 69.9 |
16k > Object Detection | Manga109-s 15test | UniverseNet | https://arxiv.org/abs/2103.14027v3 | COCO-style AP | 68.9 |
16k > Object Detection | Manga109-s 15test | ATSS+DyHead | https://arxiv.org/abs/2103.14027v3 | COCO-style AP | 67.9 |
16k > Object Detection | Manga109-s 15test | Cascade R-CNN | https://arxiv.org/abs/2103.14027v3 | COCO-style AP | 67.6 |
16k > Object Detection | Manga109-s 15test | ATSS (ConvNeXt-T) | https://arxiv.org/abs/2103.14027v3 | COCO-style AP | 67.4 |
16k > Object Detection | Manga109-s 15test | GFL | https://arxiv.org/abs/2103.14027v3 | COCO-style AP | 67.3 |
16k > Object Detection | Manga109-s 15test | ATSS+SEPC | https://arxiv.org/abs/2103.14027v3 | COCO-style AP | 67.1 |
16k > Object Detection | Manga109-s 15test | ATSS | https://arxiv.org/abs/2103.14027v3 | COCO-style AP | 66.5 |
16k > Object Detection | Manga109-s 15test | ATSS (Swin-T) | https://arxiv.org/abs/2103.14027v3 | COCO-style AP | 66.2 |
16k > Object Detection | Manga109-s 15test | Faster R-CNN | https://arxiv.org/abs/2103.14027v3 | COCO-style AP | 65.8 |
16k > Object Detection | Manga109-s 15test | RetinaNet | https://arxiv.org/abs/2103.14027v3 | COCO-style AP | 65.3 |
16k > Object Detection | Manga109-s 15test | Deformable DETR | https://arxiv.org/abs/2103.14027v3 | COCO-style AP | 64.1 |
16k > Object Detection | Manga109-s 15test | Sparse R-CNN | https://arxiv.org/abs/2103.14027v3 | COCO-style AP | 63.1 |
16k > Object Detection | Manga109-s 15test | DETR | https://arxiv.org/abs/2103.14027v3 | COCO-style AP | 31.2 |
16k > Object Detection | COCO | ColorMAE-Green-ViTB-1600 | https://arxiv.org/abs/2407.13036v1 | boxAP | 50.1 |
16k > Object Detection | COCO | ColorMAE-Green-ViTB-1600 | https://arxiv.org/abs/2407.13036v1 | boxAP50 | 70.7 |
16k > Object Detection | COCO | ColorMAE-Green-ViTB-1600 | https://arxiv.org/abs/2407.13036v1 | boxAP75 | 54.7 |
16k > Object Detection | COCO 2017 val | Mr. DETR (Swin-L, 1x, 5cale) | https://arxiv.org/abs/2412.10028v2 | AP | 61.8 |
16k > Object Detection | COCO 2017 val | Mr. DETR (Swin-L, 1x, 5cale) | https://arxiv.org/abs/2412.10028v2 | AP50 | 79.0 |
16k > Object Detection | COCO 2017 val | Mr. DETR (Swin-L, 1x, 5cale) | https://arxiv.org/abs/2412.10028v2 | AP75 | 67.6 |
16k > Object Detection | COCO 2017 val | Mr. DETR (Swin-L, 1x, 5cale) | https://arxiv.org/abs/2412.10028v2 | APS | 47.7 |
16k > Object Detection | COCO 2017 val | Mr. DETR (Swin-L, 1x, 5cale) | https://arxiv.org/abs/2412.10028v2 | APM | 65.6 |
16k > Object Detection | COCO 2017 val | Mr. DETR (Swin-L, 1x, 5cale) | https://arxiv.org/abs/2412.10028v2 | APL | 75.7 |
16k > Object Detection | COCO 2017 val | Mr. DETR (Swin-L, 1x, 4scale) | https://arxiv.org/abs/2412.10028v2 | AP | 58.4 |
16k > Object Detection | COCO 2017 val | Mr. DETR (Swin-L, 1x, 4scale) | https://arxiv.org/abs/2412.10028v2 | AP50 | 76.3 |
16k > Object Detection | COCO 2017 val | Mr. DETR (Swin-L, 1x, 4scale) | https://arxiv.org/abs/2412.10028v2 | AP75 | 63.9 |
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