Model card for swin base patch4 window12 384.ms in22k ft in1k A Swin Transformer image classification model. Pretrained on ImageNet 22k and fine tuned on ImageNet 1k by paper authors. Model Details Model Type: Image classification / feature backbone Model Stats: Params (M): 87.9 GMACs: 47.2 Activations (M): 134.8 Image size: 384 x 384 Papers: Swin Transformer: Hierarchical Vision Transformer using Shifted Windows: https://arxiv.org/abs/2103.14030 Original: https://github.com/microsoft/Swin Transformer Dataset: ImageNet 1k Pretrain Dataset: ImageNet 22k Model Usage Image Classification Feature Map Extraction Image Embeddings Model Comparison Explore the dataset and runtime metrics of this model in timm model results. Citation
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