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The official paper of RTM Det https://arxiv.org/pdf/2212.07784 link the RTMDet of mmdet as official implementation of the paper but there is one weird thing I have noticed that official paper mentions…
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I have a question.
Can't we use custom objective function in onnx?
I difined "focal_loss" as a objective function.
ONNX couldn't save following LightGBM model,
```
model = lgb.LGBMCla…
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Thanks for your released code.
When conducting experiments on the Horse scene, Francis scene and Church scene of the Tanks dataset using the default.yaml file, I found that the results were much wo…
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Hi, thanks for providing such a wonderful work.
There seems no ablation when using a better loss design for dense queries in the paper. Compared to using focal loss, how much does it improve the perf…
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Thanks for your amazing job.
i make a custom dataset. but my training is wrong. my loss is 0.
so i want to ask for dataset.
Do i normalized Object Size Range by image width and height?
And …
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If I want to retrain the CDL dataset myself without using your preprocessed data, can I do that? I tried training directly, but it reported an error saying it couldn't find the pickle file. Why is tha…
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1. What is the effect of using counters_per_class and focal_loss together and separately?
2. What is the effect of using focal_loss in all [yolo] layers and certain layers(only 1 or 2)?
3. How can w…
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Hi,
I see that starting from deformable DETR, it doesn't make sense to have cardinality loss. In the original DETR paper, the class_embed head outputs num_classes + 1, to also output a value for th…
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@kuangliu Could you please tell me why you use log_softmax to compute the focal loss instead of the sigmod layer mentioned in the paper?Or I made a mistake in understanding?
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Just like YOLO or SSD, how to replace original loss function with focal loss in Caffe? Tanks for your answer,this question puzzle me ..