Comments (1)
@heng3366: Sorry, it's not relevant to the posted question but could you please let me know the version of Ubuntu, G++, and CUDA you used to install the MinkowskiEngine?
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Related Issues (20)
- Make image and patch sizes dynamic HOT 1
- could you share the dense masked conv based sparse encoding ? HOT 2
- ImageNet-1K pre-trained weights ConvNeXt V2 supervised HOT 1
- GRN can be used on any convent with FCMAE οΌanyone tried this ?
- Cannot install MinkowskiEngine with provided instructions HOT 2
- Weights trained using pre-training script produce NaN values when running fine-tuning script HOT 3
- Pre-trained weights incompatible with backbone HOT 2
- deployment issue in trt fp16
- Onnx Export HOT 1
- [Question] Cosine Similarity
- Finetuning with limited Labels ?
- ImageNet 22k(21k) Traning loss at the end of training
- Why not provide 22k-supervised finetuning model??? I am really shocked by that every available ConvNeXt-V2 pre-training weights has been finetuned on imagenet-1k. Please make 22k-supervised ConvNeXt-V2 open just like ConvNeXt-V1 !!!!!! πππ HOT 2
- can grn add to resnet
- downsample_layer model order
- Colab Implementation
- GRN in paper uses x_i / sum x_j whereas code uses x_i / mean x_j
- ConvNeXt or ConvNeXt-V2 for drone target view geo-localization problem ?
- Can this network be added to a feature pyramid network to be compatible with images of different scales?
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