Model card for inception v3.tf adv in1k A Inception v3 image classification model. Adversarially trained on ImageNet 1k by paper authors. Ported from Tensorflow by Ross Wightman. Model Details Model Type: Image classification / feature backbone Model Stats: Params (M): 23.8 GMACs: 5.7 Activations (M): 9.0 Image size: 299 x 299 Papers: Rethinking the Inception Architecture for Computer Vision: https://arxiv.org/abs/1512.00567 Adversarial Attacks and Defences Competition: https://arxiv.org/abs/1804.00097 Original: https://github.com/tensorflow/models 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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