EfficientNetV2
EfficientNetV2是一系列图像分类模型,与现有技术相比,其实现了更好的参数效率和更快的训练速度。基于EfficientNetV1,Efficient NetV2模型使用神经架构搜索(NAS)来联合优化模型大小和训练速度,并以更快的训练和推理速度进行扩展。
Mirror Metadata
- Hugging Face repo: shadow-cann/hispark-modelzoo-efficientnetv2
- Portal model id: hs4fr0150o00
- Created at: 2025-11-13 21:53:09
- Updated at: 2025-11-29 14:49:58
- Category: 计算机视觉
Framework
- PyTorch
Supported OS
- OpenHarmony
- Linux
Computing Power
- Hi3403V100 SVP_NNN
- Hi3403V100 NNN
Tags
- 分类
Detail Parameters
- 输入: 288x288
- 参数量: 25.530M
- 计算量: 8.235GFLOPs
Files In This Repo
- efficientnetv2.onnx (源模型 / 源模型下载; 源模型 / 源模型元数据)
- efficientnetv2_t_agc-3620981a.pth (源模型 / 源模型下载; 源模型 / 源模型元数据)
- vit_base_patch16_224.om (编译模型 / OM 元数据 / f16)
- SVP_NNN_PC_V1.0.6.0.tgz (附加资源 / 附加资源)
Upstream Links
- Portal card: https://gitbubble.github.io/hisilicon-developer-portal-mirror/model-detail.html?id=hs4fr0150o00
- Upstream repository: https://gitee.com/HiSpark/modelzoo/tree/master/samples/built-in/classification/EfficientNetV2
- License reference: https://github.com/huggingface/pytorch-image-models/blob/main/LICENSE
Notes
- This repository was mirrored from the HiSilicon Developer Portal model card and local downloads captured on 2026-03-27.
- File ownership follows the portal card mapping, not just filename similarity.
- Cover image: 1700943102148611_eff.png
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