Enhancing Soil Classification with DropKey-Augmented Lightweight Vision Transformers
收藏Figshare2025-07-11 更新2026-04-28 收录
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## Code for Manuscript Under ReviewThis repository contains the implementation code for the paper: **"Enhancing Soil Classification with DropKey-Augmented Lightweight Vision Transformers"** (submitted to *The Visual Computer*, Submission ID: `78024a60-39b7-45c3-b0a7-031140df5f80`)## Contents- Source code of DropKey-augmented TinyViT model- Soil classification training/evaluation scripts- Pre-trained weights (optional, if included)## RequirementsSee `requirements.txt` for dependencies## UsageMore details in README.md Enhancing Soil Classification with DropKey-Augmented Lightweight Vision TransformersSubmitted to The Visual Computer (Submission ID: 78024a60-39b7-45c3-b0a7-031140df5f80)Authors: [Yan ZHANG,Rui-Feng-Li,Feng-Tao-LIU/Team], [Guangxi Key Laboratory of Geotechnical Mechanics an Engineering, Guilin University of Technology, Guilin 541004, China](https://doi.org/10.6084/m9.figshare.29550056)📢 Citation Request:If you use this code or results in your research, please cite our paper:
创建时间：
2025-07-11
