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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

模型名称
mAP
Paper TitleRepository
Efficient Teacher28.7Efficient Teacher: Semi-Supervised Object Detection for YOLOv5
Unbiased Teacher24.324.30 ± 0.07Unbiased Teacher for Semi-Supervised Object Detection
MixTeacher-FCOS27.88MixTeacher: Mining Promising Labels with Mixed Scale Teacher for Semi-Supervised Object Detection
PseCo27.77PseCo: Pseudo Labeling and Consistency Training for Semi-Supervised Object Detection
Omni-DETR23.2Omni-DETR: Omni-Supervised Object Detection with Transformers
DETReg18.69±0.2DETReg: Unsupervised Pretraining with Region Priors for Object Detection
ARSL29.08Ambiguity-Resistant Semi-Supervised Learning for Dense Object Detection
MixPL34.7Mixed Pseudo Labels for Semi-Supervised Object Detection
MixTeacher-FRCNN29.11MixTeacher: Mining Promising Labels with Mixed Scale Teacher for Semi-Supervised Object Detection
VC27.70Semi-supervised Object Detection via Virtual Category Learning
Consistent-Teacher30.7Consistent-Teacher: Towards Reducing Inconsistent Pseudo-targets in Semi-supervised Object Detection
RPL23.34± 0.18Rethinking Pseudo Labels for Semi-Supervised Object Detection-
MUM24.84MUM : Mix Image Tiles and UnMix Feature Tiles for Semi-Supervised Object Detection
Unbiased Teacher v228.37±0.03Unbiased Teacher v2: Semi-supervised Object Detection for Anchor-free and Anchor-based Detectors
Adaptive Class-Rebalancing28.69±0.17Semi-Supervised Object Detection with Adaptive Class-Rebalancing Self-Training-
Instant Teaching22.45Instant-Teaching: An End-to-End Semi-Supervised Object Detection Framework
CSD13.93Consistency-based Semi-supervised Learning for Object detection
ASTOD24.85Adaptive Self-Training for Object Detection
STAC18.25±0.25A Simple Semi-Supervised Learning Framework for Object Detection
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