Comments (1)
TTA adopts different data augmentation techniques (scaling and flip) only during testing and ensembles their predictions for stronger performances.
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Related Issues (20)
- ImportError: cannot import name 'track_iter_progress' from 'mmcv' HOT 1
- 提交的问题 HOT 3
- Bad substitution HOT 2
- Questions on Virtual Points HOT 4
- Question about copy-and-paste fade strategy HOT 4
- Spconv Error HOT 3
- Question on Dataset HOT 2
- Error building MSMDFusion Dockerfile HOT 12
- Question on 1-st training HOT 2
- GPU memory for evaluation HOT 7
- Questions on virtual points HOT 2
- Evaluate Tracking HOT 3
- the training log files HOT 4
- About box_dim HOT 1
- about visiualization HOT 1
- 训练效果不佳
- about NMS HOT 2
- Json file for detection HOT 3
- Virtual points for test dataset in nuscenes HOT 1
- nuScenes validation set detection result
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