Official DeiT repository. Contribute to facebookresearch/deit development by creating an account on GitHub.

Dec 23, 2020 · Recently, neural networks purely based on attention were shown to address image understanding tasks such as image classification. However, these visual transformers …

Aimv2 BEiT BiT Conditional DETR ConvNeXT ConvNeXTV2 CvT D-FINE DAB-DETR Deformable DETR DeiT Depth Anything Depth Anything V2 DepthPro DETA DETR DiNAT DINOV2 …

Dec 23, 2020 · Our new technique — Data-efficient image Transformers (DeiT) — requires far less data and far less computing resources to produce a high-performance image …

Jul 12, 2024 · DeiT (Data-efficient Image Transformer) is an advanced vision transformer model designed to achieve high performance in image classification tasks with significantly less data …

Nov 25, 2025 · You will hear about the role of the special token introduced in the DeiT paper, how it interacts with the class token and why comparing outputs with the teacher network leads to …

May 12, 2025 · In the tiny-transformers repository, DeiT serves as one of the baseline transformer architectures that can benefit from locality guidance to improve performance on smaller datasets.

Jun 2, 2025 · In this article I am going to discuss the model which the authors referred to as DeiT (Data-efficient image Transformer) as well as how to implement the architecture from scratch. …

Official DeiT repository. Contribute to facebookresearch/deit development by creating an account on GitHub.

Feb 9, 2025 · Data-Efficient Image Transformer (DeiT) [1] is a significant step forward from the original Vision Transformer (ViT) [2] by addressing its major shortcoming: the reliance on …