paper-with-me

Object Detection 벤치마크

Object Detection on CPPE-5

80개 결과 · ⬇ CSV · JSON

box AP

29.5 35.35 41.2 47.05 52.9 2021-12 2026-09 TridentNet — 52.9 (2021-12-15) Empirical Attention — 52.5 (2021-12-15) Double Heads — 52.0 (2021-12-15) Deformable Convolutional Network — 51.6 (2021-12-15) RegNet — 51.3 (2021-12-15) VarifocalNet — 51.0 (2021-12-15) Localization Distillation — 50.9 (2021-12-15) FSAF — 49.2 (2021-12-15) Deformable DETR — 48.0 (2021-12-15) Grid RCNN — 47.5 (2021-12-15) FCOS — 44.4 (2021-12-15) Faster RCNN — 44.0 (2021-12-15) Sparse RCNN — 44.0 (2021-12-15) RepPoints — 43.0 (2021-12-15) YOLOv3 — 38.5 (2021-12-15) SSD — 29.5 (2021-12-15) TridentNet — 52.9 (2021-12-15) Empirical Attention — 52.5 (2021-12-15) Double Heads — 52.0 (2021-12-15) Deformable Convolutional Network — 51.6 (2021-12-15) RegNet — 51.3 (2021-12-15) VarifocalNet — 51.0 (2021-12-15) Localization Distillation — 50.9 (2021-12-15) FSAF — 49.2 (2021-12-15) Deformable DETR — 48.0 (2021-12-15) Grid RCNN — 47.5 (2021-12-15) FCOS — 44.4 (2021-12-15) Faster RCNN — 44.0 (2021-12-15) Sparse RCNN — 44.0 (2021-12-15) RepPoints — 43.0 (2021-12-15) YOLOv3 — 38.5 (2021-12-15) SSD — 29.5 (2021-12-15) TridentNet — 52.9 (2021-12-15) Empirical Attention — 52.5 (2021-12-15) Double Heads — 52.0 (2021-12-15) Deformable Convolutional Network — 51.6 (2021-12-15) RegNet — 51.3 (2021-12-15) VarifocalNet — 51.0 (2021-12-15) Localization Distillation — 50.9 (2021-12-15) FSAF — 49.2 (2021-12-15) Deformable DETR — 48.0 (2021-12-15) Grid RCNN — 47.5 (2021-12-15) FCOS — 44.4 (2021-12-15) Faster RCNN — 44.0 (2021-12-15) Sparse RCNN — 44.0 (2021-12-15) RepPoints — 43.0 (2021-12-15) YOLOv3 — 38.5 (2021-12-15) SSD — 29.5 (2021-12-15) TridentNet — 52.9 (2021-12-15) Empirical Attention — 52.5 (2021-12-15) Double Heads — 52.0 (2021-12-15) Deformable Convolutional Network — 51.6 (2021-12-15) RegNet — 51.3 (2021-12-15) VarifocalNet — 51.0 (2021-12-15) Localization Distillation — 50.9 (2021-12-15) FSAF — 49.2 (2021-12-15) Deformable DETR — 48.0 (2021-12-15) Grid RCNN — 47.5 (2021-12-15) FCOS — 44.4 (2021-12-15) Faster RCNN — 44.0 (2021-12-15) Sparse RCNN — 44.0 (2021-12-15) RepPoints — 43.0 (2021-12-15) YOLOv3 — 38.5 (2021-12-15) SSD — 29.5 (2021-12-15) TridentNet — 52.9 (2021-12-15) Empirical Attention — 52.5 (2021-12-15) Double Heads — 52.0 (2021-12-15) Deformable Convolutional Network — 51.6 (2021-12-15) RegNet — 51.3 (2021-12-15) VarifocalNet — 51.0 (2021-12-15) Localization Distillation — 50.9 (2021-12-15) FSAF — 49.2 (2021-12-15) Deformable DETR — 48.0 (2021-12-15) Grid RCNN — 47.5 (2021-12-15) FCOS — 44.4 (2021-12-15) Faster RCNN — 44.0 (2021-12-15) Sparse RCNN — 44.0 (2021-12-15) RepPoints — 43.0 (2021-12-15) YOLOv3 — 38.5 (2021-12-15) SSD — 29.5 (2021-12-15) TridentNet — 52.9 (2021-12-15)
RankModel box APAP50AP75APSAPMAPL PaperCodeYear
1 TridentNet 52.985.158.342.641.362.6 CPPE-5: Medical Personal Protective Equipment Dataset huggingface/datasets · Rishit-dagli/CPPE-Dataset 2021
2 Empirical Attention 52.586.554.138.743.461.0 CPPE-5: Medical Personal Protective Equipment Dataset huggingface/datasets · Rishit-dagli/CPPE-Dataset 2021
3 Double Heads 52.087.355.238.641.060.8 CPPE-5: Medical Personal Protective Equipment Dataset huggingface/datasets · Rishit-dagli/CPPE-Dataset 2021
4 Deformable Convolutional Network 51.687.155.936.341.461.3 CPPE-5: Medical Personal Protective Equipment Dataset huggingface/datasets · Rishit-dagli/CPPE-Dataset 2021
5 RegNet 51.385.351.835.741.160.5 CPPE-5: Medical Personal Protective Equipment Dataset huggingface/datasets · Rishit-dagli/CPPE-Dataset 2021
6 VarifocalNet 51.082.656.739.042.158.8 CPPE-5: Medical Personal Protective Equipment Dataset huggingface/datasets · Rishit-dagli/CPPE-Dataset 2021
7 Localization Distillation 50.976.558.845.843.059.4 CPPE-5: Medical Personal Protective Equipment Dataset huggingface/datasets · Rishit-dagli/CPPE-Dataset 2021
8 FSAF 49.284.748.245.339.656.7 CPPE-5: Medical Personal Protective Equipment Dataset huggingface/datasets · Rishit-dagli/CPPE-Dataset 2021
9 Deformable DETR 48.076.952.836.435.253.9 CPPE-5: Medical Personal Protective Equipment Dataset huggingface/datasets · Rishit-dagli/CPPE-Dataset 2021
10 Grid RCNN 47.577.950.643.437.254.4 CPPE-5: Medical Personal Protective Equipment Dataset huggingface/datasets · Rishit-dagli/CPPE-Dataset 2021
11 FCOS 44.479.545.936.739.251.7 CPPE-5: Medical Personal Protective Equipment Dataset huggingface/datasets · Rishit-dagli/CPPE-Dataset 2021
12 Faster RCNN 44.073.847.830.034.752.5 CPPE-5: Medical Personal Protective Equipment Dataset huggingface/datasets · Rishit-dagli/CPPE-Dataset 2021
12 Sparse RCNN 44.069.644.630.030.654.7 CPPE-5: Medical Personal Protective Equipment Dataset huggingface/datasets · Rishit-dagli/CPPE-Dataset 2021
14 RepPoints 43.075.940.127.336.748.0 CPPE-5: Medical Personal Protective Equipment Dataset huggingface/datasets · Rishit-dagli/CPPE-Dataset 2021
15 YOLOv3 38.579.435.323.128.449.0 CPPE-5: Medical Personal Protective Equipment Dataset huggingface/datasets · Rishit-dagli/CPPE-Dataset 2021
16 SSD 29.5057.024.932.123.134.6 CPPE-5: Medical Personal Protective Equipment Dataset huggingface/datasets · Rishit-dagli/CPPE-Dataset 2021
17 TridentNet 52.985.158.342.641.362.6 CPPE-5: Medical Personal Protective Equipment Dataset huggingface/datasets · Rishit-dagli/CPPE-Dataset 2021
18 Empirical Attention 52.586.554.138.743.461.0 CPPE-5: Medical Personal Protective Equipment Dataset huggingface/datasets · Rishit-dagli/CPPE-Dataset 2021
19 Double Heads 52.087.355.238.641.060.8 CPPE-5: Medical Personal Protective Equipment Dataset huggingface/datasets · Rishit-dagli/CPPE-Dataset 2021
20 Deformable Convolutional Network 51.687.155.936.341.461.3 CPPE-5: Medical Personal Protective Equipment Dataset huggingface/datasets · Rishit-dagli/CPPE-Dataset 2021
1–20 / 80 다음 → 페이지당 10 20 50 100