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SOTA
半监督物体检测
Semi Supervised Object Detection On Coco 2
Semi Supervised Object Detection On Coco 2
评估指标
mAP
评测结果
各个模型在此基准测试上的表现结果
Columns
模型名称
mAP
Paper Title
Repository
Efficient Teacher
28.7
Efficient Teacher: Semi-Supervised Object Detection for YOLOv5
-
Unbiased Teacher
24.324.30 ± 0.07
Unbiased Teacher for Semi-Supervised Object Detection
-
MixTeacher-FCOS
27.88
MixTeacher: Mining Promising Labels with Mixed Scale Teacher for Semi-Supervised Object Detection
-
PseCo
27.77
PseCo: Pseudo Labeling and Consistency Training for Semi-Supervised Object Detection
-
Omni-DETR
23.2
Omni-DETR: Omni-Supervised Object Detection with Transformers
-
DETReg
18.69±0.2
DETReg: Unsupervised Pretraining with Region Priors for Object Detection
-
ARSL
29.08
Ambiguity-Resistant Semi-Supervised Learning for Dense Object Detection
-
MixPL
34.7
Mixed Pseudo Labels for Semi-Supervised Object Detection
-
MixTeacher-FRCNN
29.11
MixTeacher: Mining Promising Labels with Mixed Scale Teacher for Semi-Supervised Object Detection
-
VC
27.70
Semi-supervised Object Detection via Virtual Category Learning
-
Consistent-Teacher
30.7
Consistent-Teacher: Towards Reducing Inconsistent Pseudo-targets in Semi-supervised Object Detection
-
RPL
23.34± 0.18
Rethinking Pseudo Labels for Semi-Supervised Object Detection
-
MUM
24.84
MUM : Mix Image Tiles and UnMix Feature Tiles for Semi-Supervised Object Detection
-
Unbiased Teacher v2
28.37±0.03
Unbiased Teacher v2: Semi-supervised Object Detection for Anchor-free and Anchor-based Detectors
-
Adaptive Class-Rebalancing
28.69±0.17
Semi-Supervised Object Detection with Adaptive Class-Rebalancing Self-Training
-
Instant Teaching
22.45
Instant-Teaching: An End-to-End Semi-Supervised Object Detection Framework
-
CSD
13.93
Consistency-based Semi-supervised Learning for Object detection
ASTOD
24.85
Adaptive Self-Training for Object Detection
-
STAC
18.25±0.25
A Simple Semi-Supervised Learning Framework for Object Detection
-
0 of 19 row(s) selected.
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