Model card for hrnet w32.ms in1k A HRNet image classification model. Trained on ImageNet 1k by paper authors. Model Details Model Type: Image classification / feature backbone Model Stats: Params (M): 41.2 GMACs: 9.0 Activations (M): 22.0 Image size: 224 x 224 Papers: Deep High Resolution Representation Learning for Visual Recognition: https://arxiv.org/abs/1908.07919 Original: https://github.com/HRNet/HRNet Image Classification 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
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