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 | RefineDet512+ (VGG-16) | http://arxiv.org/abs/1711.06897v3 | Hardware Burden | null |
16k > Object Detection | COCO test-dev | RefineDet512+ (VGG-16) | http://arxiv.org/abs/1711.06897v3 | Operations per network pass | null |
16k > Object Detection | COCO test-dev | DeformConv-R-FCN (Aligned-Inception-ResNet) | http://arxiv.org/abs/1703.06211v3 | box mAP | 37.5 |
16k > Object Detection | COCO test-dev | DeformConv-R-FCN (Aligned-Inception-ResNet) | http://arxiv.org/abs/1703.06211v3 | AP50 | 58.0 |
16k > Object Detection | COCO test-dev | DeformConv-R-FCN (Aligned-Inception-ResNet) | http://arxiv.org/abs/1703.06211v3 | APS | 19.4 |
16k > Object Detection | COCO test-dev | DeformConv-R-FCN (Aligned-Inception-ResNet) | http://arxiv.org/abs/1703.06211v3 | APM | 40.1 |
16k > Object Detection | COCO test-dev | DeformConv-R-FCN (Aligned-Inception-ResNet) | http://arxiv.org/abs/1703.06211v3 | APL | 52.5 |
16k > Object Detection | COCO test-dev | DeformConv-R-FCN (Aligned-Inception-ResNet) | http://arxiv.org/abs/1703.06211v3 | Hardware Burden | null |
16k > Object Detection | COCO test-dev | DeformConv-R-FCN (Aligned-Inception-ResNet) | http://arxiv.org/abs/1703.06211v3 | Operations per network pass | null |
16k > Object Detection | COCO test-dev | Faster R-CNN (ImageNet+300M) | http://arxiv.org/abs/1707.02968v2 | box mAP | 37.4 |
16k > Object Detection | COCO test-dev | Faster R-CNN (ImageNet+300M) | http://arxiv.org/abs/1707.02968v2 | AP50 | 58 |
16k > Object Detection | COCO test-dev | Faster R-CNN (ImageNet+300M) | http://arxiv.org/abs/1707.02968v2 | AP75 | 40.1 |
16k > Object Detection | COCO test-dev | Faster R-CNN (ImageNet+300M) | http://arxiv.org/abs/1707.02968v2 | APS | 17.5 |
16k > Object Detection | COCO test-dev | Faster R-CNN (ImageNet+300M) | http://arxiv.org/abs/1707.02968v2 | APM | 41.1 |
16k > Object Detection | COCO test-dev | Faster R-CNN (ImageNet+300M) | http://arxiv.org/abs/1707.02968v2 | APL | 51.2 |
16k > Object Detection | COCO test-dev | Faster R-CNN (ImageNet+300M) | http://arxiv.org/abs/1707.02968v2 | Hardware Burden | null |
16k > Object Detection | COCO test-dev | Faster R-CNN (ImageNet+300M) | http://arxiv.org/abs/1707.02968v2 | Operations per network pass | null |
16k > Object Detection | COCO test-dev | Mask R-CNN (Bottleneck-injected ResNet-50, FPN) | https://arxiv.org/abs/2011.12913v2 | box mAP | 36.9 |
16k > Object Detection | COCO test-dev | Mask R-CNN (Bottleneck-injected ResNet-50, FPN) | https://arxiv.org/abs/2011.12913v2 | Hardware Burden | null |
16k > Object Detection | COCO test-dev | Mask R-CNN (Bottleneck-injected ResNet-50, FPN) | https://arxiv.org/abs/2011.12913v2 | Operations per network pass | null |
16k > Object Detection | COCO test-dev | Faster R-CNN + TDM | http://arxiv.org/abs/1612.06851v2 | box mAP | 36.8 |
16k > Object Detection | COCO test-dev | Faster R-CNN + TDM | http://arxiv.org/abs/1612.06851v2 | Hardware Burden | null |
16k > Object Detection | COCO test-dev | Faster R-CNN + TDM | http://arxiv.org/abs/1612.06851v2 | Operations per network pass | null |
16k > Object Detection | COCO test-dev | Cascade R-CNN (ResNet-50-FPN+) | http://arxiv.org/abs/1712.00726v1 | box mAP | 36.5 |
16k > Object Detection | COCO test-dev | Cascade R-CNN (ResNet-50-FPN+) | http://arxiv.org/abs/1712.00726v1 | AP50 | 59 |
16k > Object Detection | COCO test-dev | Cascade R-CNN (ResNet-50-FPN+) | http://arxiv.org/abs/1712.00726v1 | AP75 | 39.2 |
16k > Object Detection | COCO test-dev | Cascade R-CNN (ResNet-50-FPN+) | http://arxiv.org/abs/1712.00726v1 | APS | 20.3 |
16k > Object Detection | COCO test-dev | Cascade R-CNN (ResNet-50-FPN+) | http://arxiv.org/abs/1712.00726v1 | APM | 38.8 |
16k > Object Detection | COCO test-dev | Cascade R-CNN (ResNet-50-FPN+) | http://arxiv.org/abs/1712.00726v1 | APL | 46.4 |
16k > Object Detection | COCO test-dev | Cascade R-CNN (ResNet-50-FPN+) | http://arxiv.org/abs/1712.00726v1 | Hardware Burden | 3G |
16k > Object Detection | COCO test-dev | Cascade R-CNN (ResNet-50-FPN+) | http://arxiv.org/abs/1712.00726v1 | Operations per network pass | null |
16k > Object Detection | COCO test-dev | RefineDet512 (ResNet-101) | http://arxiv.org/abs/1711.06897v3 | box mAP | 36.4 |
16k > Object Detection | COCO test-dev | RefineDet512 (ResNet-101) | http://arxiv.org/abs/1711.06897v3 | AP50 | 57.5 |
16k > Object Detection | COCO test-dev | RefineDet512 (ResNet-101) | http://arxiv.org/abs/1711.06897v3 | AP75 | 39.5 |
16k > Object Detection | COCO test-dev | RefineDet512 (ResNet-101) | http://arxiv.org/abs/1711.06897v3 | APS | 16.6 |
16k > Object Detection | COCO test-dev | RefineDet512 (ResNet-101) | http://arxiv.org/abs/1711.06897v3 | APM | 39.9 |
16k > Object Detection | COCO test-dev | RefineDet512 (ResNet-101) | http://arxiv.org/abs/1711.06897v3 | APL | 51.4 |
16k > Object Detection | COCO test-dev | RefineDet512 (ResNet-101) | http://arxiv.org/abs/1711.06897v3 | Hardware Burden | null |
16k > Object Detection | COCO test-dev | RefineDet512 (ResNet-101) | http://arxiv.org/abs/1711.06897v3 | Operations per network pass | null |
16k > Object Detection | COCO test-dev | Faster R-CNN + FPN | http://arxiv.org/abs/1612.03144v2 | box mAP | 36.2 |
16k > Object Detection | COCO test-dev | Faster R-CNN + FPN | http://arxiv.org/abs/1612.03144v2 | Hardware Burden | 2G |
16k > Object Detection | COCO test-dev | Faster R-CNN (Bottleneck-injected ResNet-50 and FPN) | https://arxiv.org/abs/2011.12913v2 | box mAP | 35.9 |
16k > Object Detection | COCO test-dev | Faster R-CNN (Bottleneck-injected ResNet-50 and FPN) | https://arxiv.org/abs/2011.12913v2 | Hardware Burden | null |
16k > Object Detection | COCO test-dev | Faster R-CNN (Bottleneck-injected ResNet-50 and FPN) | https://arxiv.org/abs/2011.12913v2 | Operations per network pass | null |
16k > Object Detection | Visual Genome | KnowZRel | https://ieeexplore.ieee.org/document/10897903 | MAP | 44 |
16k > Object Detection | Visual Genome | YOLOv5x6 | https://link.springer.com/chapter/10.1007/978-3-031-20601-6_30 | MAP | 32.7 |
16k > Object Detection | Visual Genome | MSDN | http://arxiv.org/abs/1707.09700v2 | MAP | 7.43 |
16k > Object Detection | Visual Genome | AP (%) | http://arxiv.org/abs/1511.07571v1 | MAP | 5.39 |
16k > Object Detection | SIXray | LRPz | https://arxiv.org/abs/1910.09840v3 | 1 in 10 R@5 | 0.01347 |
16k > Object Detection | SIXray | Optim [39] Lpixel | https://arxiv.org/abs/2108.03798v2 | 1 in 10 R@5 | 0.073 |
16k > Object Detection | COCO+ | RepPoints + Self-adaptation | https://arxiv.org/abs/2011.08529v4 | mAR (COCO+ XS) | 28.4 |
16k > Object Detection | BDD100K | CDDMSL | https://arxiv.org/abs/2309.13525v1 | MAP | 27.1 |
16k > Object Detection | PASCAL VOC 10% | DETReg (MDef-DETR) | https://arxiv.org/abs/2111.11430v6 | AP | 58.78 |
16k > Object Detection | PASCAL VOC 10% | DETReg (MDef-DETR) | https://arxiv.org/abs/2111.11430v6 | AP50 | 80.46 |
16k > Object Detection | PASCAL VOC 10% | DETReg (MDef-DETR) | https://arxiv.org/abs/2111.11430v6 | AP75 | 65.65 |
16k > Object Detection | PASCAL VOC 10% | DETReg (ours) | https://arxiv.org/abs/2106.04550v5 | AP | 51.4 |
16k > Object Detection | PASCAL VOC 10% | DETReg (ours) | https://arxiv.org/abs/2106.04550v5 | AP50 | 72.2 |
16k > Object Detection | PASCAL VOC 10% | DETReg (ours) | https://arxiv.org/abs/2106.04550v5 | AP75 | 56.6 |
16k > Object Detection | Watercolor2k | CDDMSL | https://arxiv.org/abs/2309.13525v1 | MAP | 49.8 |
16k > Object Detection | Multispectral Dataset | TarDAL | https://arxiv.org/abs/2203.16220v1 | mAP@0.5 | 78 |
16k > Object Detection | Drinking Waste Classification | EfficientDet-D2 | https://arxiv.org/abs/2105.06808v1 | AP50 | 99.4 |
16k > Object Detection | CPPE-5 | TridentNet | https://arxiv.org/abs/2112.09569v2 | box AP | 52.9 |
16k > Object Detection | CPPE-5 | TridentNet | https://arxiv.org/abs/2112.09569v2 | AP50 | 85.1 |
16k > Object Detection | CPPE-5 | TridentNet | https://arxiv.org/abs/2112.09569v2 | AP75 | 58.3 |
16k > Object Detection | CPPE-5 | TridentNet | https://arxiv.org/abs/2112.09569v2 | APS | 42.6 |
16k > Object Detection | CPPE-5 | TridentNet | https://arxiv.org/abs/2112.09569v2 | APM | 41.3 |
16k > Object Detection | CPPE-5 | TridentNet | https://arxiv.org/abs/2112.09569v2 | APL | 62.6 |
16k > Object Detection | CPPE-5 | Empirical Attention | https://arxiv.org/abs/2112.09569v2 | box AP | 52.5 |
16k > Object Detection | CPPE-5 | Empirical Attention | https://arxiv.org/abs/2112.09569v2 | AP50 | 86.5 |
16k > Object Detection | CPPE-5 | Empirical Attention | https://arxiv.org/abs/2112.09569v2 | AP75 | 54.1 |
16k > Object Detection | CPPE-5 | Empirical Attention | https://arxiv.org/abs/2112.09569v2 | APS | 38.7 |
16k > Object Detection | CPPE-5 | Empirical Attention | https://arxiv.org/abs/2112.09569v2 | APM | 43.4 |
16k > Object Detection | CPPE-5 | Empirical Attention | https://arxiv.org/abs/2112.09569v2 | APL | 61.0 |
16k > Object Detection | CPPE-5 | Double Heads | https://arxiv.org/abs/2112.09569v2 | box AP | 52.0 |
16k > Object Detection | CPPE-5 | Double Heads | https://arxiv.org/abs/2112.09569v2 | AP50 | 87.3 |
16k > Object Detection | CPPE-5 | Double Heads | https://arxiv.org/abs/2112.09569v2 | AP75 | 55.2 |
16k > Object Detection | CPPE-5 | Double Heads | https://arxiv.org/abs/2112.09569v2 | APS | 38.6 |
16k > Object Detection | CPPE-5 | Double Heads | https://arxiv.org/abs/2112.09569v2 | APM | 41.0 |
16k > Object Detection | CPPE-5 | Double Heads | https://arxiv.org/abs/2112.09569v2 | APL | 60.8 |
16k > Object Detection | CPPE-5 | Deformable Convolutional Network | https://arxiv.org/abs/2112.09569v2 | box AP | 51.6 |
16k > Object Detection | CPPE-5 | Deformable Convolutional Network | https://arxiv.org/abs/2112.09569v2 | AP50 | 87.1 |
16k > Object Detection | CPPE-5 | Deformable Convolutional Network | https://arxiv.org/abs/2112.09569v2 | AP75 | 55.9 |
16k > Object Detection | CPPE-5 | Deformable Convolutional Network | https://arxiv.org/abs/2112.09569v2 | APS | 36.3 |
16k > Object Detection | CPPE-5 | Deformable Convolutional Network | https://arxiv.org/abs/2112.09569v2 | APM | 41.4 |
16k > Object Detection | CPPE-5 | Deformable Convolutional Network | https://arxiv.org/abs/2112.09569v2 | APL | 61.3 |
16k > Object Detection | CPPE-5 | RegNet | https://arxiv.org/abs/2112.09569v2 | box AP | 51.3 |
16k > Object Detection | CPPE-5 | RegNet | https://arxiv.org/abs/2112.09569v2 | AP50 | 85.3 |
16k > Object Detection | CPPE-5 | RegNet | https://arxiv.org/abs/2112.09569v2 | AP75 | 51.8 |
16k > Object Detection | CPPE-5 | RegNet | https://arxiv.org/abs/2112.09569v2 | APS | 35.7 |
16k > Object Detection | CPPE-5 | RegNet | https://arxiv.org/abs/2112.09569v2 | APM | 41.1 |
16k > Object Detection | CPPE-5 | RegNet | https://arxiv.org/abs/2112.09569v2 | APL | 60.5 |
16k > Object Detection | CPPE-5 | VarifocalNet | https://arxiv.org/abs/2112.09569v2 | box AP | 51.0 |
16k > Object Detection | CPPE-5 | VarifocalNet | https://arxiv.org/abs/2112.09569v2 | AP50 | 82.6 |
16k > Object Detection | CPPE-5 | VarifocalNet | https://arxiv.org/abs/2112.09569v2 | AP75 | 56.7 |
16k > Object Detection | CPPE-5 | VarifocalNet | https://arxiv.org/abs/2112.09569v2 | APS | 39.0 |
16k > Object Detection | CPPE-5 | VarifocalNet | https://arxiv.org/abs/2112.09569v2 | APM | 42.1 |
16k > Object Detection | CPPE-5 | VarifocalNet | https://arxiv.org/abs/2112.09569v2 | APL | 58.8 |
16k > Object Detection | CPPE-5 | Localization Distillation | https://arxiv.org/abs/2112.09569v2 | box AP | 50.9 |
16k > Object Detection | CPPE-5 | Localization Distillation | https://arxiv.org/abs/2112.09569v2 | AP50 | 76.5 |
16k > Object Detection | CPPE-5 | Localization Distillation | https://arxiv.org/abs/2112.09569v2 | AP75 | 58.8 |
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