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 | CPPE-5 | Localization Distillation | https://arxiv.org/abs/2112.09569v2 | APS | 45.8 |
16k > Object Detection | CPPE-5 | Localization Distillation | https://arxiv.org/abs/2112.09569v2 | APM | 43.0 |
16k > Object Detection | CPPE-5 | Localization Distillation | https://arxiv.org/abs/2112.09569v2 | APL | 59.4 |
16k > Object Detection | CPPE-5 | FSAF | https://arxiv.org/abs/2112.09569v2 | box AP | 49.2 |
16k > Object Detection | CPPE-5 | FSAF | https://arxiv.org/abs/2112.09569v2 | AP50 | 84.7 |
16k > Object Detection | CPPE-5 | FSAF | https://arxiv.org/abs/2112.09569v2 | AP75 | 48.2 |
16k > Object Detection | CPPE-5 | FSAF | https://arxiv.org/abs/2112.09569v2 | APS | 45.3 |
16k > Object Detection | CPPE-5 | FSAF | https://arxiv.org/abs/2112.09569v2 | APM | 39.6 |
16k > Object Detection | CPPE-5 | FSAF | https://arxiv.org/abs/2112.09569v2 | APL | 56.7 |
16k > Object Detection | CPPE-5 | Deformable DETR | https://arxiv.org/abs/2112.09569v2 | box AP | 48.0 |
16k > Object Detection | CPPE-5 | Deformable DETR | https://arxiv.org/abs/2112.09569v2 | AP50 | 76.9 |
16k > Object Detection | CPPE-5 | Deformable DETR | https://arxiv.org/abs/2112.09569v2 | AP75 | 52.8 |
16k > Object Detection | CPPE-5 | Deformable DETR | https://arxiv.org/abs/2112.09569v2 | APS | 36.4 |
16k > Object Detection | CPPE-5 | Deformable DETR | https://arxiv.org/abs/2112.09569v2 | APM | 35.2 |
16k > Object Detection | CPPE-5 | Deformable DETR | https://arxiv.org/abs/2112.09569v2 | APL | 53.9 |
16k > Object Detection | CPPE-5 | Grid RCNN | https://arxiv.org/abs/2112.09569v2 | box AP | 47.5 |
16k > Object Detection | CPPE-5 | Grid RCNN | https://arxiv.org/abs/2112.09569v2 | AP50 | 77.9 |
16k > Object Detection | CPPE-5 | Grid RCNN | https://arxiv.org/abs/2112.09569v2 | AP75 | 50.6 |
16k > Object Detection | CPPE-5 | Grid RCNN | https://arxiv.org/abs/2112.09569v2 | APS | 43.4 |
16k > Object Detection | CPPE-5 | Grid RCNN | https://arxiv.org/abs/2112.09569v2 | APM | 37.2 |
16k > Object Detection | CPPE-5 | Grid RCNN | https://arxiv.org/abs/2112.09569v2 | APL | 54.4 |
16k > Object Detection | CPPE-5 | FCOS | https://arxiv.org/abs/2112.09569v2 | box AP | 44.4 |
16k > Object Detection | CPPE-5 | FCOS | https://arxiv.org/abs/2112.09569v2 | AP50 | 79.5 |
16k > Object Detection | CPPE-5 | FCOS | https://arxiv.org/abs/2112.09569v2 | AP75 | 45.9 |
16k > Object Detection | CPPE-5 | FCOS | https://arxiv.org/abs/2112.09569v2 | APS | 36.7 |
16k > Object Detection | CPPE-5 | FCOS | https://arxiv.org/abs/2112.09569v2 | APM | 39.2 |
16k > Object Detection | CPPE-5 | FCOS | https://arxiv.org/abs/2112.09569v2 | APL | 51.7 |
16k > Object Detection | CPPE-5 | Faster RCNN | https://arxiv.org/abs/2112.09569v2 | box AP | 44.0 |
16k > Object Detection | CPPE-5 | Faster RCNN | https://arxiv.org/abs/2112.09569v2 | AP50 | 73.8 |
16k > Object Detection | CPPE-5 | Faster RCNN | https://arxiv.org/abs/2112.09569v2 | AP75 | 47.8 |
16k > Object Detection | CPPE-5 | Faster RCNN | https://arxiv.org/abs/2112.09569v2 | APS | 30.0 |
16k > Object Detection | CPPE-5 | Faster RCNN | https://arxiv.org/abs/2112.09569v2 | APM | 34.7 |
16k > Object Detection | CPPE-5 | Faster RCNN | https://arxiv.org/abs/2112.09569v2 | APL | 52.5 |
16k > Object Detection | CPPE-5 | Sparse RCNN | https://arxiv.org/abs/2112.09569v2 | box AP | 44.0 |
16k > Object Detection | CPPE-5 | Sparse RCNN | https://arxiv.org/abs/2112.09569v2 | AP50 | 69.6 |
16k > Object Detection | CPPE-5 | Sparse RCNN | https://arxiv.org/abs/2112.09569v2 | AP75 | 44.6 |
16k > Object Detection | CPPE-5 | Sparse RCNN | https://arxiv.org/abs/2112.09569v2 | APS | 30.0 |
16k > Object Detection | CPPE-5 | Sparse RCNN | https://arxiv.org/abs/2112.09569v2 | APM | 30.6 |
16k > Object Detection | CPPE-5 | Sparse RCNN | https://arxiv.org/abs/2112.09569v2 | APL | 54.7 |
16k > Object Detection | CPPE-5 | RepPoints | https://arxiv.org/abs/2112.09569v2 | box AP | 43.0 |
16k > Object Detection | CPPE-5 | RepPoints | https://arxiv.org/abs/2112.09569v2 | AP50 | 75.9 |
16k > Object Detection | CPPE-5 | RepPoints | https://arxiv.org/abs/2112.09569v2 | AP75 | 40.1 |
16k > Object Detection | CPPE-5 | RepPoints | https://arxiv.org/abs/2112.09569v2 | APS | 27.3 |
16k > Object Detection | CPPE-5 | RepPoints | https://arxiv.org/abs/2112.09569v2 | APM | 36.7 |
16k > Object Detection | CPPE-5 | RepPoints | https://arxiv.org/abs/2112.09569v2 | APL | 48.0 |
16k > Object Detection | CPPE-5 | YOLOv3 | https://arxiv.org/abs/2112.09569v2 | box AP | 38.5 |
16k > Object Detection | CPPE-5 | YOLOv3 | https://arxiv.org/abs/2112.09569v2 | AP50 | 79.4 |
16k > Object Detection | CPPE-5 | YOLOv3 | https://arxiv.org/abs/2112.09569v2 | AP75 | 35.3 |
16k > Object Detection | CPPE-5 | YOLOv3 | https://arxiv.org/abs/2112.09569v2 | APS | 23.1 |
16k > Object Detection | CPPE-5 | YOLOv3 | https://arxiv.org/abs/2112.09569v2 | APM | 28.4 |
16k > Object Detection | CPPE-5 | YOLOv3 | https://arxiv.org/abs/2112.09569v2 | APL | 49.0 |
16k > Object Detection | CPPE-5 | SSD | https://arxiv.org/abs/2112.09569v2 | box AP | 29.50 |
16k > Object Detection | CPPE-5 | SSD | https://arxiv.org/abs/2112.09569v2 | AP50 | 57.0 |
16k > Object Detection | CPPE-5 | SSD | https://arxiv.org/abs/2112.09569v2 | AP75 | 24.9 |
16k > Object Detection | CPPE-5 | SSD | https://arxiv.org/abs/2112.09569v2 | APS | 32.1 |
16k > Object Detection | CPPE-5 | SSD | https://arxiv.org/abs/2112.09569v2 | APM | 23.1 |
16k > Object Detection | CPPE-5 | SSD | https://arxiv.org/abs/2112.09569v2 | APL | 34.6 |
16k > Object Detection | COCO-O | EVA | https://arxiv.org/abs/2211.07636v2 | Average mAP | 57.8 |
16k > Object Detection | COCO-O | EVA | https://arxiv.org/abs/2211.07636v2 | Effective Robustness | 28.86 |
16k > Object Detection | COCO-O | DETA
(Swin-L) | https://arxiv.org/abs/2212.06137v1 | Average mAP | 48.5 |
16k > Object Detection | COCO-O | DETA
(Swin-L) | https://arxiv.org/abs/2212.06137v1 | Effective Robustness | 20.15 |
16k > Object Detection | COCO-O | GLIP-L
(Swin-L) | https://arxiv.org/abs/2112.03857v2 | Average mAP | 48.0 |
16k > Object Detection | COCO-O | GLIP-L
(Swin-L) | https://arxiv.org/abs/2112.03857v2 | Effective Robustness | 24.89 |
16k > Object Detection | COCO-O | GRiT
(ViT-H) | https://arxiv.org/abs/2212.00280v1 | Average mAP | 42.9 |
16k > Object Detection | COCO-O | GRiT
(ViT-H) | https://arxiv.org/abs/2212.00280v1 | Effective Robustness | 15.72 |
16k > Object Detection | COCO-O | DINO (Swin-L) | https://arxiv.org/abs/2203.03605v4 | Average mAP | 42.1 |
16k > Object Detection | COCO-O | DINO (Swin-L) | https://arxiv.org/abs/2203.03605v4 | Effective Robustness | 15.76 |
16k > Object Detection | COCO-O | CBNetV2
(Swin-L) | https://arxiv.org/abs/2107.00420v7 | Average mAP | 39.0 |
16k > Object Detection | COCO-O | CBNetV2
(Swin-L) | https://arxiv.org/abs/2107.00420v7 | Effective Robustness | 12.36 |
16k > Object Detection | COCO-O | ConvNeXt-XL
(Cascade Mask R-CNN) | https://arxiv.org/abs/2201.03545v2 | Average mAP | 37.5 |
16k > Object Detection | COCO-O | ConvNeXt-XL
(Cascade Mask R-CNN) | https://arxiv.org/abs/2201.03545v2 | Effective Robustness | 12.68 |
16k > Object Detection | COCO-O | InternImage-L (Cascade Mask R-CNN) | https://arxiv.org/abs/2211.05778v4 | Average mAP | 37.0 |
16k > Object Detection | COCO-O | InternImage-L (Cascade Mask R-CNN) | https://arxiv.org/abs/2211.05778v4 | Effective Robustness | 11.72 |
16k > Object Detection | COCO-O | DyHead
(Swin-L) | https://arxiv.org/abs/2106.08322v1 | Average mAP | 35.3 |
16k > Object Detection | COCO-O | DyHead
(Swin-L) | https://arxiv.org/abs/2106.08322v1 | Effective Robustness | 10.00 |
16k > Object Detection | COCO-O | ViTDet (ViT-H) | https://arxiv.org/abs/2203.16527v2 | Average mAP | 34.3 |
16k > Object Detection | COCO-O | ViT-Adapter (BEiTv2-L) | https://arxiv.org/abs/2205.08534v4 | Average mAP | 34.25 |
16k > Object Detection | COCO-O | ViT-Adapter (BEiTv2-L) | https://arxiv.org/abs/2205.08534v4 | Effective Robustness | 7.79 |
16k > Object Detection | COCO-O | FIBER-B
(Swin-B) | https://arxiv.org/abs/2206.07643v2 | Average mAP | 33.7 |
16k > Object Detection | COCO-O | FIBER-B
(Swin-B) | https://arxiv.org/abs/2206.07643v2 | Effective Robustness | 11.43 |
16k > Object Detection | COCO-O | QueryInst
(Swin-L) | https://arxiv.org/abs/2105.01928v3 | Average mAP | 33.2 |
16k > Object Detection | COCO-O | QueryInst
(Swin-L) | https://arxiv.org/abs/2105.01928v3 | Effective Robustness | 8.26 |
16k > Object Detection | COCO-O | YOLOv6-L6 | https://arxiv.org/abs/2209.02976v1 | Average mAP | 32.5 |
16k > Object Detection | COCO-O | YOLOv6-L6 | https://arxiv.org/abs/2209.02976v1 | Effective Robustness | 6.73 |
16k > Object Detection | COCO-O | YOLOv7-E6E | https://arxiv.org/abs/2207.02696v1 | Average mAP | 32.0 |
16k > Object Detection | COCO-O | YOLOv7-E6E | https://arxiv.org/abs/2207.02696v1 | Effective Robustness | 6.42 |
16k > Object Detection | COCO-O | MViTV2-H
(Cascade Mask R-CNN) | https://arxiv.org/abs/2112.01526v2 | Average mAP | 30.9 |
16k > Object Detection | COCO-O | MViTV2-H
(Cascade Mask R-CNN) | https://arxiv.org/abs/2112.01526v2 | Effective Robustness | 5.62 |
16k > Object Detection | COCO-O | Det-AdvProp
(EfficientNet-B5) | https://arxiv.org/abs/2103.13886v2 | Average mAP | 30.8 |
16k > Object Detection | COCO-O | Det-AdvProp
(EfficientNet-B5) | https://arxiv.org/abs/2103.13886v2 | Effective Robustness | 7.34 |
16k > Object Detection | COCO-O | YOLOv4-P6 | https://arxiv.org/abs/2004.10934v1 | Average mAP | 30.4 |
16k > Object Detection | COCO-O | YOLOv4-P6 | https://arxiv.org/abs/2004.10934v1 | Effective Robustness | 5.89 |
16k > Object Detection | COCO-O | YOLOX-X | https://arxiv.org/abs/2107.08430v2 | Average mAP | 30.3 |
16k > Object Detection | COCO-O | YOLOX-X | https://arxiv.org/abs/2107.08430v2 | Effective Robustness | 7.26 |
16k > Object Detection | COCO-O | CenterNet2
(R2-101-DCN) | https://arxiv.org/abs/2103.07461v1 | Average mAP | 29.5 |
16k > Object Detection | COCO-O | CenterNet2
(R2-101-DCN) | https://arxiv.org/abs/2103.07461v1 | Effective Robustness | 4.29 |
16k > Object Detection | COCO-O | GLIP-T
(Swin-T) | https://arxiv.org/abs/2112.03857v2 | Average mAP | 29.1 |
16k > Object Detection | COCO-O | GLIP-T
(Swin-T) | https://arxiv.org/abs/2112.03857v2 | Effective Robustness | 8.11 |
16k > Object Detection | COCO-O | EfficientDet-D5
(EfficientNet-B5) | https://arxiv.org/abs/1911.09070v7 | Average mAP | 28.5 |
16k > Object Detection | COCO-O | EfficientDet-D5
(EfficientNet-B5) | https://arxiv.org/abs/1911.09070v7 | Effective Robustness | 5.44 |
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