This is the Windows app named DeiT (Data-efficient Image Transformers) whose latest release can be downloaded as deitsourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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DeiT（数据高效图像转换器）
商品描述
DeiT (Data-efficient Image Transformers) shows that Vision Transformers can be trained competitively on ImageNet-1k without external data by using strong training recipes and knowledge distillation. Its key idea is a specialized distillation strategy—including a learnable “distillation token”—that lets a transformer learn effectively from a CNN or transformer teacher on modest-scale datasets. The project provides compact ViT variants (Tiny/Small/Base) that achieve excellent accuracy–throughput trade-offs, making transformers practical beyond massive pretraining regimes. Training involves carefully tuned augmentations, regularization, and optimization schedules to stabilize learning and improve sample efficiency. The repo offers pretrained checkpoints, reference scripts, and ablation studies that clarify which ingredients matter most for data-efficient ViT training.
功能
- Data-efficient ViT training that works on ImageNet-1k from scratch
- Knowledge distillation with a dedicated distillation token
- Compact model zoo (Tiny/Small/Base) with strong accuracy–speed balance
- Clear training recipes with augmentations and regularization schedules
- Pretrained checkpoints and reproducible reference scripts
- Ablations and guidelines to adapt DeiT to new datasets and tasks
程式语言
Python
分类
This is an application that can also be fetched from https://sourceforge.net/projects/deit-data-img-trans.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
