Semi Supervised Object Detection On Coco 5
Metriken
mAP
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Vergleichstabelle
| Modellname | mAP |
|---|---|
| semi-supervised-object-detection-with-1 | 31.35±0.13 |
| adaptive-self-training-for-object-detection | 30.43 |
| pseco-pseudo-labeling-and-consistency | 32.5 |
| omni-detr-omni-supervised-object-detection | 30.2 |
| semi-detr-semi-supervised-object-detection-1 | 40.1 |
| detreg-unsupervised-pretraining-with-region | 24.80±0.2 |
| mixed-pseudo-labels-for-semi-supervised | 40.1 |
| mind-the-gap-polishing-pseudo-labels-for | 32.10±0.15 |
| revisiting-class-imbalance-for-end-to-end | 32.21 |
| dense-teacher-dense-pseudo-labels-for-semi | 33.01 |
| mixteacher-mining-promising-labels-with-mixed | 33.42 |
| ambiguity-resistant-semi-supervised-learning | 34.45 |
| mum-mix-image-tiles-and-unmix-feature-tiles | 28.52 |
| unbiased-teacher-v2-semi-supervised-object-1 | 31.85±0.09 |
| unbiased-teacher-for-semi-supervised-object-1 | 28.27± 0.11 |
| mixteacher-mining-promising-labels-with-mixed | 34.06 |
| efficient-teacher-semi-supervised-object | 34.11 |
| rethinking-pseudo-labels-for-semi-supervised | 28.4 ± 0.15 |
| a-simple-semi-supervised-learning-framework | 24.38±0.12 |
| semi-supervised-object-detection-via-virtual-1 | 32.05 |
| instant-teaching-an-end-to-end-semi | 26.75 |
| semi-supervised-object-detection-with-object | 30.66 |
| end-to-end-semi-supervised-object-detection | 30.74 |