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Models/SSOD with OCL and RUPL

SSOD with OCL and RUPL

Reported on 6 benchmarks across 2 tasks · 1 paper

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision3 results

Semi-Supervised Object DetectiononCOCO 10% labeled data
mAP· 2022-12-06
33.53
best: 44.6 (MixPL)
Semi-Supervised Object Detection with Object-wise Contrastive Learning and Regression Uncertainty arXiv:2212.02747
Semi-Supervised Object DetectiononCOCO 5% labeled data
mAP· 2022-12-06
30.66
best: 40.1 (Semi-DETR)
Semi-Supervised Object Detection with Object-wise Contrastive Learning and Regression Uncertainty arXiv:2212.02747
Semi-Supervised Object DetectiononCOCO 1% labeled data
mAP· 2022-12-06
21.63
best: 31.7 (MixPL)
Semi-Supervised Object Detection with Object-wise Contrastive Learning and Regression Uncertainty arXiv:2212.02747

Methodology3 results

2D Object DetectiononCOCO 10% labeled data
mAP· 2022-12-06
33.53
best: 44.6 (MixPL)
Semi-Supervised Object Detection with Object-wise Contrastive Learning and Regression Uncertainty arXiv:2212.02747
2D Object DetectiononCOCO 5% labeled data
mAP· 2022-12-06
30.66
best: 40.1 (Semi-DETR)
Semi-Supervised Object Detection with Object-wise Contrastive Learning and Regression Uncertainty arXiv:2212.02747
2D Object DetectiononCOCO 1% labeled data
mAP· 2022-12-06
21.63
best: 31.7 (MixPL)
Semi-Supervised Object Detection with Object-wise Contrastive Learning and Regression Uncertainty arXiv:2212.02747