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[ICML-24] Counterfactual Reasoning for Multi-Label Image Classification via Patching-Based Training

The implementation for the paper Counterfactual Reasoning for Multi-Label Image Classification via Patching-Based Training (ICML 2024).

Preparing Data

See the README.md file in the data directory for instructions on downloading and preparing the datasets.

Training Model

See run.sh .

Pretrained Models

Model Pretrained mAP Link
ResNet-101 in1k 85.1 Log
TResNet-L in1k 88.7 Log
TResNet-L in21k 90.5 Log
Q2L-TResNet-L in21k 91.0 Log
Q2L-TResNet-L oi 91.7 Model&Log

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  • Python 98.3%
  • Shell 1.7%