Comments (2)
lyuwenyu
commented on June 26, 2024
Maybe your should tune backbone lr multi carefully
from rt-detr.
todesti2
commented on June 26, 2024
Maybe your should tune backbone lr multi carefully
Thank you for your prompt reply!
Adjusting the list of learning rates seems to bring only tiny gains, but after I replaced resnet with res2net all together, the accuracy loss was huge and those gains still didn't make up the difference. This has piqued my curiosity, but I'd prefer to hear from you, the author, before acting on it.
Looking forward to your advice to minimize the rocks on my way forward!
from rt-detr.
Related Issues (20)
- Bounding box is much larger than gt
- 指标 HOT 2
- The RT-DETR (RT-DETR-HGNetv2 L and X) parameters are not available in pytorch nor are the configurations. HOT 1
- where is Uncertainty minimal query selection? HOT 1
- Timm integration HOT 3
- 模型收敛 HOT 1
- 影响模型的参数量和计算量 HOT 4
- Predict with pytorch HOT 2
- dataset
- PIL.Image.DecompressionBombError
- resume training
- checkpoint缺少'optimizer'的参数
- Converting to coreml HOT 1
- (pytorch) onnx is slower than pytorch HOT 8
- RT-DETR量化后的模型是否可以转成tensorrt的模型格式 HOT 1
- RTDETR训练报错，求解
- How to save the prediction results? HOT 1
- Problem with training on custom dataset - RT-DETR Pytorch HOT 3
- The questions of IoU-aware Query Selection HOT 1
- 关于论文汇报指标的公平性 HOT 1
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