| MixPL |
- mAP
- 44.6
- detector
- DINO-Res50
|
Mixed Pseudo Labels for Semi-Supervised Object Detection 2023-12-12 |
코드 1 |
| Semi-DETR |
- mAP
- 43.5
- detector
- DINO-Res50
|
Semi-DETR: Semi-Supervised Object Detection with Detection Transformers 2023-07-16 |
코드 1 · 코드 2 · 코드 3 |
| Consistent-Teacher |
- mAP
- 40.0
- detector
- RetinaNet-Res50
|
Consistent-Teacher: Towards Reducing Inconsistent Pseudo-targets in Semi-supervised Object Detection 2022-09-04 |
코드 1 |
| ARSL |
- mAP
- 38.5
- detector
- FCOS-Res50
|
Ambiguity-Resistant Semi-Supervised Learning for Dense Object Detection 2023-03-27 |
코드 1 |
| Efficient Teacher |
- mAP
- 37.9
- detector
- YOLOv5-L
|
Efficient Teacher: Semi-Supervised Object Detection for YOLOv5 2023-02-15 |
코드 1 · 코드 2 · 코드 3 · 코드 4 |
| Revisiting Class Imbalance |
- mAP
- 37.4
- detector
- FasterRCNN-Res50
|
Revisiting Class Imbalance for End-to-end Semi-Supervised Object Detection 2023-06-04 |
연결 없음 |
| Dense Teacher |
- mAP
- 37.13
- detector
- FCOS-Res50
|
Dense Teacher: Dense Pseudo-Labels for Semi-supervised Object Detection 2022-07-06 |
코드 1 · 코드 2 |
| MixTeacher-FCOS |
- mAP
- 36.95
- detector
- FCOS-Res50
|
MixTeacher: Mining Promising Labels with Mixed Scale Teacher for Semi-Supervised Object Detection 2023-03-16 |
코드 1 |
| MixTeacher-FRCNN |
- mAP
- 36.72
- detector
- FRCNN-Res50
|
MixTeacher: Mining Promising Labels with Mixed Scale Teacher for Semi-Supervised Object Detection 2023-03-16 |
코드 1 |
| PseCo |
- mAP
- 36.06
- detector
- FasterRCNN-Res50
|
PseCo: Pseudo Labeling and Consistency Training for Semi-Supervised Object Detection 2022-03-30 |
코드 1 |
| Polishing Teacher |
- mAP
- 35.30±0.15
- detector
- FasterRCNN-Res50
|
Mind the Gap: Polishing Pseudo labels for Accurate Semi-supervised Object Detection 2022-07-17 |
코드 1 |
| Unbiased Teacher v2 |
- mAP
- 35.08±0.02
- detector
- FCOS-Res50
|
Unbiased Teacher v2: Semi-supervised Object Detection for Anchor-free and Anchor-based Detectors 2022-06-19 |
코드 1 |
| Adaptive Class-Rebalancing |
- mAP
- 34.92±0.22
|
Semi-Supervised Object Detection with Adaptive Class-Rebalancing Self-Training 2021-07-11 |
연결 없음 |
| VC |
- mAP
- 34.82
- detector
- FasterRCNN-Res50
|
Semi-supervised Object Detection via Virtual Category Learning 2022-07-07 |
코드 1 |
| ASTOD |
- mAP
- 34.58
|
Adaptive Self-Training for Object Detection 2022-12-07 |
코드 1 |
| Omni-DETR |
- mAP
- 34.1
|
Omni-DETR: Omni-Supervised Object Detection with Transformers 2022-03-30 |
코드 1 |
| Soft Teacher |
- mAP
- 34.04
- detector
- FasterRCNN-Res50
|
End-to-End Semi-Supervised Object Detection with Soft Teacher 2021-06-16 |
코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 · 코드 6 · 코드 7 · 코드 8 |
| SSOD with OCL and RUPL |
- mAP
- 33.53
|
Semi-Supervised Object Detection with Object-wise Contrastive Learning and Regression Uncertainty 2022-12-06 |
연결 없음 |
| RPL |
- mAP
- 32.23± 0.14
|
Rethinking Pseudo Labels for Semi-Supervised Object Detection 2021-06-01 |
연결 없음 |
| Il-net (resnet-50) |
- mAP
- 32.166
|
Improving Localization for Semi-Supervised Object Detection 2022-06-21 |
코드 1 |
| MUM |
- mAP
- 31.87
|
MUM : Mix Image Tiles and UnMix Feature Tiles for Semi-Supervised Object Detection 2021-11-22 |
코드 1 |
| Humble teacher |
- mAP
- 31.61
|
Humble Teachers Teach Better Students for Semi-Supervised Object Detection 2021-06-19 |
연결 없음 |
| Unbiased Teacher |
- mAP
- 31.5± 0.10
|
Unbiased Teacher for Semi-Supervised Object Detection 2021-02-18 |
코드 1 · 코드 2 · 코드 3 · 코드 4 |
| Instant Teaching |
- mAP
- 30.40
|
Instant-Teaching: An End-to-End Semi-Supervised Object Detection Framework 2021-03-21 |
코드 1 |
| DETReg |
- mAP
- 29.12±0.2
|
DETReg: Unsupervised Pretraining with Region Priors for Object Detection 2021-06-08 |
코드 1 |
| STAC |
- mAP
- 28.64±0.21
|
A Simple Semi-Supervised Learning Framework for Object Detection 2020-05-10 |
코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 · 코드 6 · 코드 7 |
| Semi-DETR |
- detector
- FCOS-Res50
|
Ambiguity-Resistant Semi-Supervised Learning for Dense Object Detection 2023-03-27 |
코드 1 |