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acmmm23-solution-mbeg's Introduction

ACMMM23-Solution-MBEG

Modern Backbone for Efficient Geo-localization

Code Overview:

  • config: settings.yaml

  • model definitions: model_.py

  • train: train.py

  • distillation knowledge: distill_train.py

  • test: U1652_test_and_evaluate.py

  • prepare dataset: Preprocessing.py

  • multiply queries: multi.py

  • draw heat map: draw_cam_ViT.py

  • predict University160k : predict.py / predict.ipynb

  • export answer.txt : export.ipynb

Model weights

Baidu Cloud Disk Link: https://pan.baidu.com/s/1k1z90EyLaL85PqeSxxlWOw?pwd=1652 提取码: 1652

  • MBEG-L1 for University-1652: MBEG-L1-1652.pth

    • Drone -> Satellite: Recall@1: 92.50 AP: 93.75
    • Satellite -> Drone: Recall@1: 94.15 AP: 91.57
  • MBEG-L1 for University-160k: MBEG-L1-160k.pth

    • Drone -> Satellite: Recall@1: 98.94 Recall@5:99.80 Recall@10:99.84
  • MBEG-L2 for University-1652: MBEG-L2-1652.pth

    • Drone -> Satellite: Recall@1: 89.78 AP: 91.53
    • Satellite -> Drone: Recall@1: 92.01 AP: 88.81
  • MBEG-B1 for University-1652: MBEG-B1-1652.pth

    • Drone -> Satellite: Recall@1: 87.48 AP: 89.36
    • Satellite -> Drone: Recall@1: 90.73 AP: 86.29
  • MBEG-B2 for University-1652: MBEG-B2-1652.pth

    • Drone -> Satellite: Recall@1: 88.16 AP: 89.97
    • Satellite -> Drone: Recall@1: 93.01 AP: 87.64
  • MoblieViT-KD for University-1652: MobileViT-Student-1652.pth

    • Drone -> Satellite: Recall@1: 80.57 AP: 83.44
    • Satellite -> Drone: Recall@1: 88.44 AP: 80.45

Related Works

University-1652 Benchmark

https://github.com/layumi/University1652-Baseline

ACM MM23 Workshop: UAVs in Multimedia: Capturing the World from a New Perspective

https://www.zdzheng.xyz/ACMMM2023Workshop

EVA Series backbone

https://github.com/baaivision/EVA https://huggingface.co/Yuxin-CV/EVA-02

MobileViT

https://github.com/apple/ml-cvnets [https://huggingface.co/timm/mobilevitv2_200.cvnets_in22k_ft_in1k_384] (https://huggingface.co/timm/mobilevitv2_200.cvnets_in22k_ft_in1k_384)

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