Semi Supervised Object Detection On Coco 10
評価指標
detector
評価結果
このベンチマークにおける各モデルのパフォーマンス結果
比較表
| モデル名 | detector |
|---|---|
| ambiguity-resistant-semi-supervised-learning | FCOS-Res50 |
| humble-teachers-teach-better-students-for | - |
| mixteacher-mining-promising-labels-with-mixed | FCOS-Res50 |
| dense-teacher-dense-pseudo-labels-for-semi | FCOS-Res50 |
| mixteacher-mining-promising-labels-with-mixed | FRCNN-Res50 |
| mixed-pseudo-labels-for-semi-supervised | DINO-Res50 |
| pseco-pseudo-labeling-and-consistency | FasterRCNN-Res50 |
| unbiased-teacher-for-semi-supervised-object-1 | - |
| mum-mix-image-tiles-and-unmix-feature-tiles | - |
| semi-supervised-object-detection-with-object | - |
| detreg-unsupervised-pretraining-with-region | - |
| consistent-teacher-provides-better-1 | RetinaNet-Res50 |
| semi-supervised-object-detection-with-1 | - |
| efficient-teacher-semi-supervised-object | YOLOv5-L |
| adaptive-self-training-for-object-detection | - |
| semi-supervised-object-detection-via-virtual-1 | FasterRCNN-Res50 |
| a-simple-semi-supervised-learning-framework | - |
| end-to-end-semi-supervised-object-detection | FasterRCNN-Res50 |
| revisiting-class-imbalance-for-end-to-end | FasterRCNN-Res50 |
| semi-detr-semi-supervised-object-detection-1 | DINO-Res50 |
| improving-localization-for-semi-supervised | - |
| ambiguity-resistant-semi-supervised-learning | FCOS-Res50 |
| omni-detr-omni-supervised-object-detection | - |
| rethinking-pseudo-labels-for-semi-supervised | - |
| instant-teaching-an-end-to-end-semi | - |
| unbiased-teacher-v2-semi-supervised-object-1 | FCOS-Res50 |
| mind-the-gap-polishing-pseudo-labels-for | FasterRCNN-Res50 |