-
I tested resnet-101 successfully, but it's not the same as the author's miou. The result before densecrf on the validation set was 0.7646 and the paper was 0.7635.
Strangely, the miou I ran out of VG…
-
Great work on the paper! I have a quick question regarding the implementation. In the paper, you mentioned that several backbone networks like ViT, Swin, and ResNet were used. Could you please clarify…
-
Hi,
I used fine-tuned resnet-50 and added a new classifier on top. When I try to visualize with CAM methods, I get meaningless heatmaps. On the other hand, when visualizing with gradient, there is …
-
- KaimingHe/deep-residual-networks issues/39
- Support ResNet reference models for ILSVRC (beniz/deepdetect pull/60)
-
### Branch
main branch (mmpretrain version)
### Describe the bug
I am trying to train some models (ResNet-50, MobileNetV2) from scratch on CIFAR-100 using the configuration files provided in mmpret…
-
May I ask how did you process the event input of the ResNet-34 backbone and Deeplabv3 decoder? What is the bin size that you set?
-
-
Hi,
when using get_segmentation_learner function with architecture_name="unet" and backbone_name="resnet50" I'm getting "RuntimeError: cuDNN error: CUDNN_STATUS_NOT_INITIALIZED" error. I'm using to…
-
Hello @antingshen
I have been training ResNet-50 from scratch using your train_val file, but my training is overfitting to an extent that my training accuracy is 100% (both top1 and top5), where a…
ghost updated
6 years ago
-
In the file model/backbone/resnet.py, there are only ResNet18 and ResNet34, but in model/der.py, ResNet50 is referenced. When I change the configuration to lucir.yaml in run_trainer.py and run it, an …