Enhancing Soil Classification with DropKey-Augmented Lightweight Vision Transformers
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## Code for Manuscript Under Review<br>This repository contains the implementation code for the paper: <br><b>**"Enhancing Soil Classification with DropKey-Augmented Lightweight Vision Transformers"**</b> <br>(submitted to <i>*The Visual Computer*</i>, Submission ID: `78024a60-39b7-45c3-b0a7-031140df5f80`)<br><br>## Contents<br>- Source code of DropKey-augmented TinyViT model<br>- Soil classification training/evaluation scripts<br>- Pre-trained weights (optional, if included)<br><br>## Requirements<br>See `requirements.txt` for dependencies<br><br>## Usage<br>More details in README.md <br><b>Enhancing Soil Classification with DropKey-Augmented Lightweight Vision Transformers</b><br><i>Submitted to The Visual Computer (Submission ID: 78024a60-39b7-45c3-b0a7-031140df5f80)</i><br><b>Authors</b>: [Yan ZHANG,Rui-Feng-Li,Feng-Tao-LIU/Team], [Guangxi Key Laboratory of Geotechnical Mechanics an Engineering, Guilin University of Technology, Guilin 541004, China]<br>(https://doi.org/10.6084/m9.figshare.29550056)<br><br>📢 <b>Citation Request</b>:<br>If you use this code or results in your research, please cite our paper:
