Model card for rexnet 150.nav in1k A ReXNet image classification model. Pretrained on ImageNet 1k by paper authors. Model Details Model Type: Image classification / feature backbone Model Stats: Params (M): 9.7 GMACs: 0.9 Activations (M): 11.2 Image size: 224 x 224 Papers: Rethinking Channel Dimensions for Efficient Model Design: https://arxiv.org/abs/2007.00992 Original: https://github.com/clovaai/rexnet 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." model top1 top5 param count img size crop pct rexnetr 300.sw in12k ft in1k 84.53 97.252 34.81 288 1.0 rexnetr 200.sw in12k ft in1k 83.164 96.648 16.52 288 1.0 rexnet 300.nav in1k 82.772 96.232 34.71 224 0.875 rexnet 200.nav in1k 81.652 95.668 16.37 224 0.875 rexnet 150.nav in1k 80.308 95.174 9.73 224 0.875 rexnet 130.nav in1k 79.478 94.68 7.56 224 0.875 rexnet 100.nav in1k 77.832 93.886 4.8 224 0.875 Citation
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