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SotA/Methodology/2D Object Detection/COCO 5% labeled data

2D Object Detection on COCO 5% labeled data

Metric: mAP (higher is better)

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#Model↕mAP▼AugmentationsPaperDate↕Code
1Semi-DETR40.1NoSemi-DETR: Semi-Supervised Object Detection with...2023-07-16Code
2MixPL40.1NoMixed Pseudo Labels for Semi-Supervised Object D...2023-12-12Code
3ARSL34.45NoAmbiguity-Resistant Semi-Supervised Learning for...2023-03-27Code
4Efficient Teacher34.11NoEfficient Teacher: Semi-Supervised Object Detect...2023-02-15Code
5MixTeacher-FRCNN34.06NoMixTeacher: Mining Promising Labels with Mixed S...2023-03-16Code
6MixTeacher-FCOS33.42NoMixTeacher: Mining Promising Labels with Mixed S...2023-03-16Code
7Dense Teacher33.01NoDense Teacher: Dense Pseudo-Labels for Semi-supe...2022-07-06Code
8PseCo32.5NoPseCo: Pseudo Labeling and Consistency Training ...2022-03-30Code
9Revisiting Class Imbalance32.21NoRevisiting Class Imbalance for End-to-end Semi-S...2023-06-04-
10VC32.05NoSemi-supervised Object Detection via Virtual Cat...2022-07-07Code
11Soft Teacher + Swin-L(HTC++, multi-scale)30.74NoEnd-to-End Semi-Supervised Object Detection with...2021-06-16Code
12SSOD with OCL and RUPL30.66NoSemi-Supervised Object Detection with Object-wis...2022-12-06-
13ASTOD30.43NoAdaptive Self-Training for Object Detection2022-12-07Code
14Omni-DETR30.2NoOmni-DETR: Omni-Supervised Object Detection with...2022-03-30Code
15MUM28.52NoMUM : Mix Image Tiles and UnMix Feature Tiles fo...2021-11-22Code
16Instant Teaching26.75NoInstant-Teaching: An End-to-End Semi-Supervised ...2021-03-21Code