Model card for hgnetv2 b0.ssld stage2 ft in1k A HGNet V2 (High Performance GPU Net) image classification model. Trained by model authors on mined ImageNet 22k and ImageNet 1k using SSLD distillation and further fine tuned on ImageNet 1k. Please see details at https://github.com/PaddlePaddle/PaddleClas/blob/develop/docs/zh CN/models/ImageNet1k/PP HGNetV2.md Model Details Model Type: Image classification / feature backbone Model Stats: Params (M): 6.0 GMACs: 0.3 Activations (M): 2.1 Image size: train = 224 x 224, test = 288 x 288 Pretrain Dataset: ImageNet 22k Dataset: ImageNet 1k Papers: Model paper unknown: TBD Beyond Self Supervision: A Simple Yet Effective Network Distillation Alternative to Improve Backbones: https://arxiv.org/abs/2103.05959 Original: https://github.com/PaddlePaddle/PaddleClas Model Usage Image Classification Feature Map Extraction Image Embeddings Model Comparison By Top 1 model top1 top1 err top5 top5 err param count img size hgnetv2 b6.ssld stage2 ft in1k 86.36 13.64 97.934 2.066 75.26 288 hgnetv2 b6.ssld stage1 in22k in1k 86.294 13.706 97.948 2.052 75.26 288 hgnetv2 b6.ssld stage2 ft in1k 86.204 13.796 97.81 2.19 75.26 224 hgnetv2 b6.ssld stage1 in22k in1k 8…
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