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Repository for paper "Proxy Probing Decoder for Weakly Supervised Object Localization: A Baseline Investigation".

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ProxyProbingDecoder

Repository for paper "Proxy Probing Decoder for Weakly Supervised Object Localization: A Baseline Investigation".

Introduction

Our paper has been recieved by MM2022! You may get more detail in the paper. This repo is build based on TS-CAM, DINO and Simple-baseline.

Requirement:

  • torch >= 1.7.1
  • numpy >= 1.19.5
  • timm >= 0.3.2

Data

Before you try this code, please download CUB dataset and change the datadir in yaml.

Your datadir in CUB_200_2011 should include images, list, DinoFeat2 and DinoCAM2.

We use fixed Dino-S model to provide features and pseudo labels in DinoFeat2 and DinoCAM2. You can download from: Baiduyun and GoogleDrive

Models

You can download the models here for evaluation: GoogleDrive

Start

python ./tools_cam/test_ppd.py --config ./configs/CUB/ppd_baseline.yaml

python ./tools_cam/train_ppd.py --config ./configs/CUB/train_ppd_baseline.yaml

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Repository for paper "Proxy Probing Decoder for Weakly Supervised Object Localization: A Baseline Investigation".

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