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SotA/Computer Vision/Semi-Supervised Object Detection/COCO 1% labeled data

Semi-Supervised Object Detection on COCO 1% labeled data

Metric: mAP (higher is better)

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#Model↕mAP▼Extra DataPaperDate↕Code
1MixPL31.7NoMixed Pseudo Labels for Semi-Supervised Object D...2023-12-12Code
2Consistent-Teacher25.5NoConsistent-Teacher: Towards Reducing Inconsisten...2022-09-04Code
3ARSL25.36NoAmbiguity-Resistant Semi-Supervised Learning for...2023-03-27Code
4MixTeacher-FRCNN25.16NoMixTeacher: Mining Promising Labels with Mixed S...2023-03-16Code
5VC23.86NoSemi-supervised Object Detection via Virtual Cat...2022-07-07Code
6MixTeacher-FCOS23.83NoMixTeacher: Mining Promising Labels with Mixed S...2023-03-16Code
7Efficient Teacher23.76NoEfficient Teacher: Semi-Supervised Object Detect...2023-02-15Code
8PseCo22.43NoPseCo: Pseudo Labeling and Consistency Training ...2022-03-30Code
9MUM21.88NoMUM : Mix Image Tiles and UnMix Feature Tiles fo...2021-11-22Code
10SSOD with OCL and RUPL21.63NoSemi-Supervised Object Detection with Object-wis...2022-12-06-
11Soft Teacher + Swin-L(HTC++, multi-scale)20.46NoEnd-to-End Semi-Supervised Object Detection with...2021-06-16Code
12ASTOD19.47NoAdaptive Self-Training for Object Detection2022-12-07Code
13Omni-DETR18.6NoOmni-DETR: Omni-Supervised Object Detection with...2022-03-30Code
14Instant Teaching18.05NoInstant-Teaching: An End-to-End Semi-Supervised ...2021-03-21Code