paper-with-me

Object Detection 벤치마크

Object Detection on TBBR

35개 결과 · ⬇ CSV · JSON

Average Recall@IoU:0.5-0.95

21.5 27.48 33.45 39.42 45.4 2022-12 2026-09 Swin-T (ImageNet-1k pretrain) — 45.4 (2022-12-12) FSAF (ResNeXt-101, ImageNet-1k pretrain) — 38.0 (2022-12-12) Mask R-CNN (ResNet-50-FPN, ImageNet-1k pretrain) — 37.0 (2022-12-12) Mask R-CNN (ResNet-50-FPN) — 30.8 (2022-12-12) TridentNet (ResNet-50, ImageNet-1k pretrain) — 30.0 (2022-12-12) FSAF (ResNeXt-101) — 24.8 (2022-12-12) TridentNet (ResNet-50) — 21.5 (2022-12-12) Swin-T (ImageNet-1k pretrain) — 45.4 (2022-12-12) FSAF (ResNeXt-101, ImageNet-1k pretrain) — 38.0 (2022-12-12) Mask R-CNN (ResNet-50-FPN, ImageNet-1k pretrain) — 37.0 (2022-12-12) Mask R-CNN (ResNet-50-FPN) — 30.8 (2022-12-12) TridentNet (ResNet-50, ImageNet-1k pretrain) — 30.0 (2022-12-12) FSAF (ResNeXt-101) — 24.8 (2022-12-12) TridentNet (ResNet-50) — 21.5 (2022-12-12) Swin-T (ImageNet-1k pretrain) — 45.4 (2022-12-12) FSAF (ResNeXt-101, ImageNet-1k pretrain) — 38.0 (2022-12-12) Mask R-CNN (ResNet-50-FPN, ImageNet-1k pretrain) — 37.0 (2022-12-12) Mask R-CNN (ResNet-50-FPN) — 30.8 (2022-12-12) TridentNet (ResNet-50, ImageNet-1k pretrain) — 30.0 (2022-12-12) FSAF (ResNeXt-101) — 24.8 (2022-12-12) TridentNet (ResNet-50) — 21.5 (2022-12-12) Swin-T (ImageNet-1k pretrain) — 45.4 (2022-12-12) FSAF (ResNeXt-101, ImageNet-1k pretrain) — 38.0 (2022-12-12) Mask R-CNN (ResNet-50-FPN, ImageNet-1k pretrain) — 37.0 (2022-12-12) Mask R-CNN (ResNet-50-FPN) — 30.8 (2022-12-12) TridentNet (ResNet-50, ImageNet-1k pretrain) — 30.0 (2022-12-12) FSAF (ResNeXt-101) — 24.8 (2022-12-12) TridentNet (ResNet-50) — 21.5 (2022-12-12) Swin-T (ImageNet-1k pretrain) — 45.4 (2022-12-12) FSAF (ResNeXt-101, ImageNet-1k pretrain) — 38.0 (2022-12-12) Mask R-CNN (ResNet-50-FPN, ImageNet-1k pretrain) — 37.0 (2022-12-12) Mask R-CNN (ResNet-50-FPN) — 30.8 (2022-12-12) TridentNet (ResNet-50, ImageNet-1k pretrain) — 30.0 (2022-12-12) FSAF (ResNeXt-101) — 24.8 (2022-12-12) TridentNet (ResNet-50) — 21.5 (2022-12-12) Swin-T (ImageNet-1k pretrain) — 45.4 (2022-12-12)
RankModel Average Recall@IoU:0.5-0.95 PaperCodeYear
1 Swin-T (ImageNet-1k pretrain) 45.4 Deep learning approaches to building rooftop thermal bridge detection from aerial images Helmholtz-AI-Energy/TBBRDet 2022
2 FSAF (ResNeXt-101, ImageNet-1k pretrain) 38.0 Deep learning approaches to building rooftop thermal bridge detection from aerial images Helmholtz-AI-Energy/TBBRDet 2022
3 Mask R-CNN (ResNet-50-FPN, ImageNet-1k pretrain) 37.0 Deep learning approaches to building rooftop thermal bridge detection from aerial images Helmholtz-AI-Energy/TBBRDet 2022
4 Mask R-CNN (ResNet-50-FPN) 30.8 Deep learning approaches to building rooftop thermal bridge detection from aerial images Helmholtz-AI-Energy/TBBRDet 2022
5 TridentNet (ResNet-50, ImageNet-1k pretrain) 30.0 Deep learning approaches to building rooftop thermal bridge detection from aerial images Helmholtz-AI-Energy/TBBRDet 2022
6 FSAF (ResNeXt-101) 24.8 Deep learning approaches to building rooftop thermal bridge detection from aerial images Helmholtz-AI-Energy/TBBRDet 2022
7 TridentNet (ResNet-50) 21.5 Deep learning approaches to building rooftop thermal bridge detection from aerial images Helmholtz-AI-Energy/TBBRDet 2022
8 Swin-T (ImageNet-1k pretrain) 45.4 Deep learning approaches to building rooftop thermal bridge detection from aerial images Helmholtz-AI-Energy/TBBRDet 2022
9 FSAF (ResNeXt-101, ImageNet-1k pretrain) 38.0 Deep learning approaches to building rooftop thermal bridge detection from aerial images Helmholtz-AI-Energy/TBBRDet 2022
10 Mask R-CNN (ResNet-50-FPN, ImageNet-1k pretrain) 37.0 Deep learning approaches to building rooftop thermal bridge detection from aerial images Helmholtz-AI-Energy/TBBRDet 2022
11 Mask R-CNN (ResNet-50-FPN) 30.8 Deep learning approaches to building rooftop thermal bridge detection from aerial images Helmholtz-AI-Energy/TBBRDet 2022
12 TridentNet (ResNet-50, ImageNet-1k pretrain) 30.0 Deep learning approaches to building rooftop thermal bridge detection from aerial images Helmholtz-AI-Energy/TBBRDet 2022
13 FSAF (ResNeXt-101) 24.8 Deep learning approaches to building rooftop thermal bridge detection from aerial images Helmholtz-AI-Energy/TBBRDet 2022
14 TridentNet (ResNet-50) 21.5 Deep learning approaches to building rooftop thermal bridge detection from aerial images Helmholtz-AI-Energy/TBBRDet 2022
15 Swin-T (ImageNet-1k pretrain) 45.4 Deep learning approaches to building rooftop thermal bridge detection from aerial images Helmholtz-AI-Energy/TBBRDet 2022
16 FSAF (ResNeXt-101, ImageNet-1k pretrain) 38.0 Deep learning approaches to building rooftop thermal bridge detection from aerial images Helmholtz-AI-Energy/TBBRDet 2022
17 Mask R-CNN (ResNet-50-FPN, ImageNet-1k pretrain) 37.0 Deep learning approaches to building rooftop thermal bridge detection from aerial images Helmholtz-AI-Energy/TBBRDet 2022
18 Mask R-CNN (ResNet-50-FPN) 30.8 Deep learning approaches to building rooftop thermal bridge detection from aerial images Helmholtz-AI-Energy/TBBRDet 2022
19 TridentNet (ResNet-50, ImageNet-1k pretrain) 30.0 Deep learning approaches to building rooftop thermal bridge detection from aerial images Helmholtz-AI-Energy/TBBRDet 2022
20 FSAF (ResNeXt-101) 24.8 Deep learning approaches to building rooftop thermal bridge detection from aerial images Helmholtz-AI-Energy/TBBRDet 2022
21 TridentNet (ResNet-50) 21.5 Deep learning approaches to building rooftop thermal bridge detection from aerial images Helmholtz-AI-Energy/TBBRDet 2022
22 Swin-T (ImageNet-1k pretrain) 45.4 Deep learning approaches to building rooftop thermal bridge detection from aerial images Helmholtz-AI-Energy/TBBRDet 2022
23 FSAF (ResNeXt-101, ImageNet-1k pretrain) 38.0 Deep learning approaches to building rooftop thermal bridge detection from aerial images Helmholtz-AI-Energy/TBBRDet 2022
24 Mask R-CNN (ResNet-50-FPN, ImageNet-1k pretrain) 37.0 Deep learning approaches to building rooftop thermal bridge detection from aerial images Helmholtz-AI-Energy/TBBRDet 2022
25 Mask R-CNN (ResNet-50-FPN) 30.8 Deep learning approaches to building rooftop thermal bridge detection from aerial images Helmholtz-AI-Energy/TBBRDet 2022
26 TridentNet (ResNet-50, ImageNet-1k pretrain) 30.0 Deep learning approaches to building rooftop thermal bridge detection from aerial images Helmholtz-AI-Energy/TBBRDet 2022
27 FSAF (ResNeXt-101) 24.8 Deep learning approaches to building rooftop thermal bridge detection from aerial images Helmholtz-AI-Energy/TBBRDet 2022
28 TridentNet (ResNet-50) 21.5 Deep learning approaches to building rooftop thermal bridge detection from aerial images Helmholtz-AI-Energy/TBBRDet 2022
29 Swin-T (ImageNet-1k pretrain) 45.4 Deep learning approaches to building rooftop thermal bridge detection from aerial images Helmholtz-AI-Energy/TBBRDet 2022
30 FSAF (ResNeXt-101, ImageNet-1k pretrain) 38.0 Deep learning approaches to building rooftop thermal bridge detection from aerial images Helmholtz-AI-Energy/TBBRDet 2022
31 Mask R-CNN (ResNet-50-FPN, ImageNet-1k pretrain) 37.0 Deep learning approaches to building rooftop thermal bridge detection from aerial images Helmholtz-AI-Energy/TBBRDet 2022
32 Mask R-CNN (ResNet-50-FPN) 30.8 Deep learning approaches to building rooftop thermal bridge detection from aerial images Helmholtz-AI-Energy/TBBRDet 2022
33 TridentNet (ResNet-50, ImageNet-1k pretrain) 30.0 Deep learning approaches to building rooftop thermal bridge detection from aerial images Helmholtz-AI-Energy/TBBRDet 2022
34 FSAF (ResNeXt-101) 24.8 Deep learning approaches to building rooftop thermal bridge detection from aerial images Helmholtz-AI-Energy/TBBRDet 2022
35 TridentNet (ResNet-50) 21.5 Deep learning approaches to building rooftop thermal bridge detection from aerial images Helmholtz-AI-Energy/TBBRDet 2022
1–35 / 35 페이지당 10 20 50 100