Model card for swinv2 base window8 256.ms in1k A Swin Transformer V2 image classification model. Pretrained on ImageNet 1k by paper authors. Model Details Model Type: Image classification / feature backbone Model Stats: Params (M): 87.9 GMACs: 20.4 Activations (M): 52.6 Image size: 256 x 256 Papers: Swin Transformer V2: Scaling Up Capacity and Resolution: https://arxiv.org/abs/2111.09883 Original: https://github.com/microsoft/Swin Transformer Dataset: ImageNet 1k 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
We use cookies for essential functionality and analytics. You can accept or reject analytics cookies.Cookie policy