Semi Supervised Object Detection On Coco 1
평가 지표
mAP
평가 결과
이 벤치마크에서 각 모델의 성능 결과
비교 표
| 모델 이름 | mAP |
|---|---|
| mixteacher-mining-promising-labels-with-mixed | 25.16 |
| pseco-pseudo-labeling-and-consistency | 22.43 |
| efficient-teacher-semi-supervised-object | 23.76 |
| mixed-pseudo-labels-for-semi-supervised | 31.7 |
| omni-detr-omni-supervised-object-detection | 18.6 |
| semi-supervised-object-detection-via-virtual-1 | 23.86 |
| semi-supervised-object-detection-with-object | 21.63 |
| unbiased-teacher-v2-semi-supervised-object-1 | 26.07±0.36 |
| end-to-end-semi-supervised-object-detection | 20.46 |
| mum-mix-image-tiles-and-unmix-feature-tiles | 21.88 |
| ambiguity-resistant-semi-supervised-learning | 25.36 |
| detreg-unsupervised-pretraining-with-region | 14.58 ± 0.3 |
| a-simple-semi-supervised-learning-framework | 13.97±0.35 |
| rethinking-pseudo-labels-for-semi-supervised | 19.02 ± 0.25 |
| consistent-teacher-provides-better-1 | 25.5 |
| adaptive-self-training-for-object-detection | 19.47 |
| unbiased-teacher-for-semi-supervised-object-1 | 20.75± 0.12 |
| instant-teaching-an-end-to-end-semi | 18.05 |
| semi-supervised-object-detection-with-1 | 26.07±0.46 |
| semi-detr-semi-supervised-object-detection-1 | 30.50±0.30 |
| mind-the-gap-polishing-pseudo-labels-for | 23.55±0.25 |
| mixteacher-mining-promising-labels-with-mixed | 23.83 |