Model card for densenet121.ra in1k A DenseNet image classification model. Pretrained on ImageNet 1k in timm by Ross Wightman using RandAugment RA recipe. Related to B recipe in ResNet Strikes Back. Model Details Model Type: Image classification / feature backbone Model Stats: Params (M): 8.0 GMACs: 2.9 Activations (M): 6.9 Image size: train = 224 x 224, test = 288 x 288 Papers: Densely Connected Convolutional Networks: https://arxiv.org/abs/1608.06993 ResNet strikes back: An improved training procedure in timm: https://arxiv.org/abs/2110.00476 Dataset: ImageNet 1k Original: https://github.com/huggingface/pytorch image models Model Usage Image Classification Feature Map Extraction Image Embeddings Citation
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