Comments (1)
I have the same question.
from convnext-v2.
Related Issues (20)
- On masking input images HOT 1
- Make image and patch sizes dynamic HOT 1
- Adapting ConvNetV2 for Time Series: Inconsistencies between Pre-training Visuals and Fine-Tuning Performance 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 ?
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from convnext-v2.