Separation-Aware Downsampling for Vehicle Detection

This repository is the official implementation of:

@inproceedings{guo2026separation,
author={Yupei Guo and Yota Yamamoto and Yukinobu Taniguchi},
title={Separation-Aware Downsampling for Vehicle Detection},
booktitle={Proceedings of the 21st International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP},
year={2026},
pages={483-490},
publisher={SciTePress},
organization={INSTICC}
}

Overview

• Baseline: YOLO11
• Proposed modules are implemented in: ultralytics/nn/modules/own_block.py
• Main modules:
  • WaveletDownsampleWrapper
  • PSD

Quick Start

pip install -r requirements.txt
python train_yolo.py

Notes

This project is built on the Ultralytics codebase and extends YOLO11 with separation-aware downsampling modules for vehicle detection.