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Models/ARSL

ARSL

Reported on 8 benchmarks across 2 tasks · 1 paper · 2 SOTA

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

Computer Vision4 results

Semi-Supervised Object DetectiononCOCO 5% labeled data
mAP· 2023-03-27
34.45
best: 40.1 (Semi-DETR)
SOTA
Ambiguity-Resistant Semi-Supervised Learning for Dense Object Detection arXiv:2303.14960
Semi-Supervised Object DetectiononCOCO 10% labeled data
mAP· 2023-03-27
38.5
best: 44.6 (MixPL)
Ambiguity-Resistant Semi-Supervised Learning for Dense Object Detection arXiv:2303.14960
Semi-Supervised Object DetectiononCOCO 2% labeled data
mAP· 2023-03-27
29.08
best: 34.7 (MixPL)
Ambiguity-Resistant Semi-Supervised Learning for Dense Object Detection arXiv:2303.14960
Semi-Supervised Object DetectiononCOCO 1% labeled data
mAP· 2023-03-27
25.36
best: 31.7 (MixPL)
Ambiguity-Resistant Semi-Supervised Learning for Dense Object Detection arXiv:2303.14960

Methodology4 results

2D Object DetectiononCOCO 5% labeled data
mAP· 2023-03-27
34.45
best: 40.1 (Semi-DETR)
SOTA
Ambiguity-Resistant Semi-Supervised Learning for Dense Object Detection arXiv:2303.14960
2D Object DetectiononCOCO 10% labeled data
mAP· 2023-03-27
38.5
best: 44.6 (MixPL)
Ambiguity-Resistant Semi-Supervised Learning for Dense Object Detection arXiv:2303.14960
2D Object DetectiononCOCO 2% labeled data
mAP· 2023-03-27
29.08
best: 34.7 (MixPL)
Ambiguity-Resistant Semi-Supervised Learning for Dense Object Detection arXiv:2303.14960
2D Object DetectiononCOCO 1% labeled data
mAP· 2023-03-27
25.36
best: 31.7 (MixPL)
Ambiguity-Resistant Semi-Supervised Learning for Dense Object Detection arXiv:2303.14960