Comments (4)
Hi! Sorry for the late reply. We only use training images for the training.
But I guess there is no big difference between train+val and only train since the validation set is quite small.
from reltr.
Hi! Sorry for the late reply. We only use training images for the training.
But I guess there is no big difference between train+val and only train since the validation set is quite small.
Many thanks for your reply!
May I ask a follow-up question: is wmAP usually higher than mAP or lower? Would you mind giving some reasoning for this?
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I think wmAP should be higher usually. The models have better performance on the inference of high frequency relationships while these relationships have higher weights.
from reltr.
I think wmAP should be higher usually. The models have better performance on the inference of high frequency relationships while these relationships have higher weights.
Sorry for the late reply. I agree with you. Many thanks for the information! I closed this issue as completed.
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Related Issues (20)
- convert the reltr model to onnx forma
- about Predcls HOT 1
- Evaluation HOT 3
- checkpoint should be updated with enhanced version HOT 1
- Some misunderstanding about the heat map using to predict Relationship HOT 2
- Error during training in bbox.pyx : ValueError: Buffer dtype mismatch, expected 'DTYPE_t' but got 'double' HOT 1
- 请问如何将inference.py得到的场景图保存成一个json文件呢 HOT 1
- What happens when there are no relations in a sample? HOT 2
- When I was training data, I encountered an error HOT 1
- About OpenV6 HOT 3
- How to use the resulting weight file for evaluation HOT 1
- 1 HOT 5
- I can only get the relationships between entities, how can I get the scene graph? HOT 1
- Unable to train on a single GPU - ChildFailedError( torch.distributed.elastic.multiprocessing.errors.ChildFailedError HOT 1
- Incompatible tensor size when a running a batch size of 2 HOT 2
- demo HOT 3
- 关于openimages的数据处理问题 HOT 1
- Generated checkpoint files throwing error when trying to infere an image HOT 1
- Training failed on custom data set HOT 1
- Inference code for Open Images? HOT 3
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