Model card for efficientvit b1.r256 in1k An EfficientViT (MIT) image classification model. Trained on ImageNet 1k by paper authors. Model Details Model Type: Image classification / feature backbone Model Stats: Params (M): 9.1 GMACs: 0.7 Activations (M): 9.5 Image size: 256 x 256 Papers: EfficientViT: Multi Scale Linear Attention for High Resolution Dense Prediction: https://arxiv.org/abs/2205.14756 Original: https://github.com/mit han lab/efficientvit Dataset: ImageNet 1k Model Usage Image Classification Feature Map Extraction Image Embeddings Citation
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